AI Guardians: Can Cars Prevent Accidents? Part 5 #ai #viral #trending #aiinindia

AI Guardians: Can Cars Prevent Accidents? Part 5 #ai #viral #trending #aiinindia Imagine hopping in a car that drives itself. But can these vehicles truly think for themselves? In this video, we'll explore how Artificial Intelligence (AI) is used in self-driving cars to perceive their surroundings. How AI Perceives the Road: Sensor Fusion: Self-driving cars rely on a multitude of sensors, including LiDAR, radar, cameras, and ultrasonic sensors, to build a comprehensive picture of the environment. LiDAR (Light Detection and Ranging): LiDAR creates a precise 3D map of the surroundings using lasers, allowing the AI to identify objects and their distances. Radar: Radar waves can detect objects even in low-light or bad weather conditions, helping the AI track moving vehicles and pedestrians. Cameras: Cameras provide visual data for the AI to recognize traffic signals, lane markings, and other visual cues. From Data to Decisions: The Role of AI in Self-Driving Cars: Machine Learning and Deep Learning: AI algorithms analyze the sensor data to identify objects, predict their movements, and make real-time decisions about navigation. Object Recognition: The AI classifies objects like cars, pedestrians, and traffic lights, allowing the car to react appropriately. Path Planning and Decision-Making: The AI uses the perceived environment to choose the safest and most efficient route, considering traffic flow and obstacles. The Limitations of AI Perception: Unforeseen Situations: While AI can handle most driving scenarios, unexpected events like sudden weather changes or erratic driver behavior can pose challenges. Sensor Limitations: Sensors have limitations in range and accuracy, requiring redundant systems and continuous improvement. Data Bias: AI algorithms trained on biased datasets may lead to discriminatory behavior in self-driving cars. The Road Ahead for AI and Self-Driving Car Safety: Sensor Development and Fusion Techniques: Advancements in sensor technology and improved data fusion will enhance the accuracy and robustness of AI perception. Edge Computing and Real-Time Processing: Enabling self-driving cars to process sensor data onboard will improve reaction times and decision-making. Simulations and Testing: Extensive simulations and real-world testing are crucial to train AI for a wider range of driving scenarios. Can cars truly think for themselves? Not in the same way humans do. However, AI plays a vital role in self-driving cars, enabling them to perceive the world and make decisions based on that information. As AI technology continues to evolve and address its limitations, self-driving cars have the potential to become safer and more reliable, but ensuring safety through continuous development and testing remains paramount. #AI #SelfDrivingCars #AutonomousVehicles #Safety #Perception #LiDAR #Radar #Cameras #MachineLearning #DeepLearning #ObjectRecognition #DecisionMaking #Challenges #FutureofTransportation artificial intelligence, self-driving cars, autonomous vehicles, safety, perception, LiDAR, radar, cameras, machine learning, deep learning, object recognition, decision-making, challenges, future of transportation #artificialintelligence #ai #machinelearning #deeplearning #dataanalytics #bigdata #futureofwork #futurism #algorithms #automation #aiingujarat #educational #informative #technology #trends #future #disruption #opportunities #challenges #impact #society #humanity #vlog #music #funny #tutorial #challenge #love #gaming #comedy #art #life #cute #travel #fashion #beauty #dance #food #pets #motivation #fitness #trending #gamer #minecraft #fortnite #gta #cod #apexlegends #pubg #valorant #leagueoflegends #roblox #makeup #skincare #hairstyle #beautyhacks #hairstyletutorial #skincaretips #makeuproutine #nails #tech #gadget #review #unboxing #iphone #android #apple #samsung #smartphone #laptop #viral #ai #mobile #movie #shorts #song #game #aiinindia #viral #video #viralvideo #shorts #youtubeshorts #youtube #youtuber #ai #trending #bestvideo #funny #tekthrill www.youtube.com https://youtube.com/@TEKTHRILL?si=rl1JYFFIjD5oqpJ3 Tekthrill The AI Tekthrill Future of AI Keyur Kuvadiya Youtube

Generative AI: Concepts, Tools, and Applications for Data Professionals (with Buck Woody)

Generative AI is a branch of artificial intelligence that can create new data or content by learning from existing content. It has applications in various domains such as text, image, audio, video, and code generation. In this session, you will learn how generative AI works, its limitations, the main tools and processes you can use, and where you can use it to enhance your data estate and data projects. You will also explore examples of how generative AI can help you with code generation, debugging, and optimization tasks. You will examine a complete solution using SQL SErver Machine Learning Services and Azure OpenAI integration. This session is suitable for data professionals who have some familiarity with machine learning and want to learn more about the potential and effective uses of generative AI. GUEST BIO (Buck Woody) 👤 Buck Woody is an Applied Data Scientist working on the Azure Data Services team at Microsoft, and uses data and technology to solve business and science problems. With over 39 years of professional and practical experience in computer technology, he is also a popular speaker at conferences around the world; author of over 700 articles and nine books on databases, machine learning, and R, he also sits on various Data Science Boards at two US Universities and specializes in advanced data analysis techniques. He is passionate about mentoring and growing the next generation of data professionals. RELATED CONTENT 🔗 Buck's LinkedIn -- https://www.linkedin.com/in/buckwoody/ VIDEO CHAPTERS 📺 0:00 - Video Start 5:00 - Start of Livestream LET'S CONNECT! 🧑🏽‍🤝‍🧑🏽🌟 -- https://twitter.com/HavensBI -- https://www.linkedin.com/in/reidhavens -- https://www.youtube.com/c/HavensConsulting CHECK OUT OUR MERCH STORE 👕 -- https://havens-consulting.creator-spring.com/ HAVENS CONSULTING PAGES 📄 Home Page -- http://www.havensconsulting.net Blog -- http://www.havensconsulting.net/blog-and-media Blog Files -- http://www.havensconsulting.net/blog-files Files & Templates -- http://www.havensconsulting.net/files-and-templates Consulting Services -- http://www.havensconsulting.net/consulting-services Online Course -- https://www.havensconsulting.net/online-courses Contact & Support -- http://www.havensconsulting.net/contact-and-support EMAIL US AT 📧 info@havensconsulting.net #PowerBI #powerplatform #microsoft #businessintelligence #datascience #data #dataanalytics #datavisualization #dashboard #bi #analytics #dax #powerquery #fabric #ai #generativeai #copilot #gpt #chatgpt

COE | STEFAN LAUBER - 4IR & AI

Predictive Maintenance: AI Prevents Missile System Failures! Part 1 #ai #viral #trending

Predictive Maintenance: AI Prevents Missile System Failures! Part 1 #ai #viral #trending Keeping missiles mission-ready is critical for national defense. In this video, we'll explore how Artificial Intelligence (AI) is revolutionizing predictive maintenance for missile systems. Why Predictive Maintenance is Crucial for Missiles: High-Tech Systems: Modern missiles are complex systems with numerous components susceptible to wear and tear. Mission-Critical Performance: Missile failures during deployment can have catastrophic consequences. Preventive Maintenance vs. Reactive Repairs: Predicting and addressing potential issues before they escalate is crucial for maintaining readiness. How AI Enables Predictive Maintenance for Missiles: Sensor Data Analysis: AI can analyze data from various sensors on missiles, identifying patterns and anomalies indicative of potential problems. Machine Learning Algorithms: AI algorithms learn from historical maintenance data and sensor readings to predict future component failures. Proactive Maintenance Scheduling: Based on AI predictions, maintenance schedules can be optimized, addressing issues before they impact functionality. Real-time Health Monitoring: AI can continuously monitor missile systems, enabling early detection of problems and faster response times. Benefits of AI-powered Predictive Maintenance for Missiles: Improved System Availability: Predictive maintenance reduces downtime and ensures missiles are ready for deployment when needed. Enhanced Safety and Reliability: Proactive identification of potential failures minimizes the risk of in-flight malfunctions. Reduced Maintenance Costs: Focusing on targeted maintenance based on AI predictions can be more efficient than routine overhauls. Optimized Resource Allocation: Maintenance resources can be prioritized based on AI predictions, ensuring critical issues are addressed first. Challenges and Considerations of AI-powered Predictive Maintenance: Data Quality and Integration: The effectiveness of AI relies on access to high-quality, comprehensive sensor data from missiles and maintenance records. Explainability of AI Predictions: Understanding how AI reaches conclusions about potential failures is crucial for building trust with human maintenance personnel. Integration with Existing Systems: Seamless integration of AI-powered predictive maintenance systems with existing maintenance infrastructure is necessary. The Future of AI and Predictive Maintenance for Missiles: Development of Explainable AI (XAI) for Maintenance Prediction: Making AI's reasoning more transparent to enhance collaboration and trust with human technicians. Advanced Sensor Technologies: Integration of new sensor technologies can provide AI with even richer data for more accurate predictions. Standardization of Data Formats: Developing standardized data formats across different missile systems can facilitate better data integration and analysis. By leveraging AI, we can create a more proactive and efficient approach to missile maintenance. However, ensuring data quality, fostering trust in AI predictions, and integrating with existing systems are crucial for successful implementation. #AI #PredictiveMaintenance #MissileSystems #Maintenance #Reliability #Safety #CostSavings #ResourceAllocation #SensorDataAnalysis #MachineLearning #RealTimeMonitoring #ExplainableAI #DataQuality #Integration #FutureofMaintenance #DefenseTechnology artificial intelligence, predictive maintenance, missile systems, maintenance, reliability, safety, cost savings, resource allocation, sensor data analysis, machine learning, real-time monitoring, explainable AI, data quality, integration, future of maintenance, defense technology #artificialintelligence #ai #machinelearning #deeplearning #dataanalytics #bigdata #futureofwork #futurism #algorithms #automation #aiingujarat #educational #informative #technology #trends #future #disruption #opportunities #challenges #impact #society #humanity #vlog #music #funny #tutorial #challenge #love #gaming #comedy #art #life #cute #travel #fashion #beauty #dance #food #pets #motivation #fitness #trending #gamer #minecraft #fortnite #gta #cod #apexlegends #pubg #valorant #leagueoflegends #roblox #makeup #skincare #hairstyle #beautyhacks #hairstyletutorial #skincaretips #makeuproutine #nails #tech #gadget #review #unboxing #iphone #android #apple #samsung #smartphone #laptop #viral #ai #mobile #movie #shorts #song #game #aiinindia #viral #video #viralvideo #shorts #youtubeshorts #youtube #youtuber #ai #trending #bestvideo #funny #tekthrill www.youtube.com https://youtube.com/@TEKTHRILL?si=rl1JYFFIjD5oqpJ3 Tekthrill The AI Tekthrill Future of AI Keyur Kuvadiya Youtube

Predictive Maintenance: AI Prevents Missile System Failures! Part 3 #ai #viral #trending

Predictive Maintenance: AI Prevents Missile System Failures! Part 3 #ai #viral #trending Keeping missiles mission-ready is critical for national defense. In this video, we'll explore how Artificial Intelligence (AI) is revolutionizing predictive maintenance for missile systems. Why Predictive Maintenance is Crucial for Missiles: High-Tech Systems: Modern missiles are complex systems with numerous components susceptible to wear and tear. Mission-Critical Performance: Missile failures during deployment can have catastrophic consequences. Preventive Maintenance vs. Reactive Repairs: Predicting and addressing potential issues before they escalate is crucial for maintaining readiness. How AI Enables Predictive Maintenance for Missiles: Sensor Data Analysis: AI can analyze data from various sensors on missiles, identifying patterns and anomalies indicative of potential problems. Machine Learning Algorithms: AI algorithms learn from historical maintenance data and sensor readings to predict future component failures. Proactive Maintenance Scheduling: Based on AI predictions, maintenance schedules can be optimized, addressing issues before they impact functionality. Real-time Health Monitoring: AI can continuously monitor missile systems, enabling early detection of problems and faster response times. Benefits of AI-powered Predictive Maintenance for Missiles: Improved System Availability: Predictive maintenance reduces downtime and ensures missiles are ready for deployment when needed. Enhanced Safety and Reliability: Proactive identification of potential failures minimizes the risk of in-flight malfunctions. Reduced Maintenance Costs: Focusing on targeted maintenance based on AI predictions can be more efficient than routine overhauls. Optimized Resource Allocation: Maintenance resources can be prioritized based on AI predictions, ensuring critical issues are addressed first. Challenges and Considerations of AI-powered Predictive Maintenance: Data Quality and Integration: The effectiveness of AI relies on access to high-quality, comprehensive sensor data from missiles and maintenance records. Explainability of AI Predictions: Understanding how AI reaches conclusions about potential failures is crucial for building trust with human maintenance personnel. Integration with Existing Systems: Seamless integration of AI-powered predictive maintenance systems with existing maintenance infrastructure is necessary. The Future of AI and Predictive Maintenance for Missiles: Development of Explainable AI (XAI) for Maintenance Prediction: Making AI's reasoning more transparent to enhance collaboration and trust with human technicians. Advanced Sensor Technologies: Integration of new sensor technologies can provide AI with even richer data for more accurate predictions. Standardization of Data Formats: Developing standardized data formats across different missile systems can facilitate better data integration and analysis. By leveraging AI, we can create a more proactive and efficient approach to missile maintenance. However, ensuring data quality, fostering trust in AI predictions, and integrating with existing systems are crucial for successful implementation. #AI #PredictiveMaintenance #MissileSystems #Maintenance #Reliability #Safety #CostSavings #ResourceAllocation #SensorDataAnalysis #MachineLearning #RealTimeMonitoring #ExplainableAI #DataQuality #Integration #FutureofMaintenance #DefenseTechnology artificial intelligence, predictive maintenance, missile systems, maintenance, reliability, safety, cost savings, resource allocation, sensor data analysis, machine learning, real-time monitoring, explainable AI, data quality, integration, future of maintenance, defense technology #artificialintelligence #ai #machinelearning #deeplearning #dataanalytics #bigdata #futureofwork #futurism #algorithms #automation #aiingujarat #educational #informative #technology #trends #future #disruption #opportunities #challenges #impact #society #humanity #vlog #music #funny #tutorial #challenge #love #gaming #comedy #art #life #cute #travel #fashion #beauty #dance #food #pets #motivation #fitness #trending #gamer #minecraft #fortnite #gta #cod #apexlegends #pubg #valorant #leagueoflegends #roblox #makeup #skincare #hairstyle #beautyhacks #hairstyletutorial #skincaretips #makeuproutine #nails #tech #gadget #review #unboxing #iphone #android #apple #samsung #smartphone #laptop #viral #ai #mobile #movie #shorts #song #game #aiinindia #viral #video #viralvideo #shorts #youtubeshorts #youtube #youtuber #ai #trending #bestvideo #funny #tekthrill www.youtube.com https://youtube.com/@TEKTHRILL?si=rl1JYFFIjD5oqpJ3 Tekthrill The AI Tekthrill Future of AI Keyur Kuvadiya Youtube

How Machine Learning/AI Traders Beats Retail Traders with Example Strategy for Beginners

In this video we will discuss how traders who use machine learning strategies will outperform the retail traders in future. We will also explain how to create a machine e learning strategy right from scratch. The entire code is only available for our Prometheus students and can be found in the Strategies and Code section https://www.quantprogram.com/store We are thinking of creating a course purely focussing on Machine Learning and AI based trading strategies. We will only launch it if there is substantial interest as it takes lot of work to create one. Let us know if you are interested through the link below https://www.quantprogram.com/MLCourseRegister Our Course's https://www.quantprogram.com/store Full Beginner Tutorial for Tradingview Pinecript: https://youtu.be/G4ErIBbUZOc RSI Strategy Backtested Pinescript: https://youtu.be/w1ETamJ8DcE Backtesting Pullback Strategy Pinecript: https://youtu.be/F_yGjiB0bro Stan Weinstein Strategy Pinecript code: https://youtu.be/Wodr4rCWzPw Create Stop Loss Take Profit Code: https://youtu.be/yP7qWD0JElo Creating Trailing stop Loss in Tradingview Pinescript: https://youtu.be/ZWyVF0fmGMs RSI divergence V4 Pinescript code: https://youtu.be/zCfMv_FxvME Donchian Breakout Pinescript Code: https://youtu.be/7fBlpT0YHpc Inside day Strategy Pinescript Code: https://youtu.be/_-QIv0KYnSM Bullish Engulfing Strategy Pinescript Code: https://youtu.be/JMEI9zbacbA https://www.quantprogram.com/RSI_Divergence_V5

#5 #machinelearning #datascience #python #mcqs #deeplearning #ai #pca #shorts #trending #ytshorts

#machinelearning #datascience #python Source Code: ============================== ============================== Channel Contents:------------- Full Stack AI Mastery: From Python to Expert Systems: https://www.youtube.com/playlist?list=PLdF3rLdF4ICQZWqrFYTutbuqHSc_swn7H Deep Learning: https://www.youtube.com/playlist?list=PLdF3rLdF4ICQgPC9q-fD7LKqiDSKBoGH6 Machine Learning Tutorials: https://www.youtube.com/watch?v=GnTIt3IFKEQ&list=PLdF3rLdF4ICTrOTMQ5XaUtHc-K0KGQzSS&pp=gAQBiAQB NLP Transfromer Projects: https://www.youtube.com/watch?v=cLtKAhaUqeo&list=PLdF3rLdF4ICRND3Urdm2nf6MM9ntkjvO6&pp=gAQBiAQB LangChain OpenAI Projects: https://www.youtube.com/watch?v=XmGtJG4ubqs&list=PLdF3rLdF4ICTwGLcd7FjqVurZe2OaWlz5&pp=gAQBiAQB Scikit-learn Tutorials: https://www.youtube.com/watch?v=NcVgJKaFecY&list=PLdF3rLdF4ICSDzmnqIueQDdyODJB8TaA0&pp=gAQBiAQB 100 Days Pandas: https://www.youtube.com/watch?v=U-6mZM8Ejc0&list=PLdF3rLdF4ICQGnskar9tqCuhi_tSCk40-&pp=gAQBiAQB Machine Leaning Projects: https://www.youtube.com/watch?v=eAgwvECLIRk&list=PLdF3rLdF4ICTDKN1VVTfAv35NR5mjK_hk&pp=gAQBiAQB NLP Projects: https://www.youtube.com/watch?v=hG8K5h2J-5g&list=PLdF3rLdF4ICQ4-fSEucMqoqMz1tEyjp9q&pp=gAQBiAQB Recommendation System Projects: https://www.youtube.com/watch?v=_R9Q_iuyvdc&list=PLdF3rLdF4ICTgEwDYcRAECQPnS8eynavM&pp=gAQBiAQB computer vision projects: https://www.youtube.com/watch?v=Ip3sjNGK7zU&list=PLdF3rLdF4ICQ92Su6Tg-S6tOuxO32NgWs&pp=gAQBiAQB 100 days mahine learning: https://www.youtube.com/watch?v=15zmcnX1Wts&list=PLdF3rLdF4ICQs8-3EzEEGOIIf6zKRWA6A&pp=gAQBiAQB Machine Learning Interview Preparation: OpenCV Tutorials: https://www.youtube.com/watch?v=gseWKGSvQrA&list=PLdF3rLdF4ICQG-RyfcOK3UgPP1XwKLexB&pp=gAQBiAQB 100 days computer vision: https://www.youtube.com/watch?v=4FBorEEinq4&list=PLdF3rLdF4ICSDGGZz6wj118qbVtQwgt7h&pp=gAQBiAQB Python Chatbot Development: https://www.youtube.com/watch?v=zktB8ceV7K0&list=PLdF3rLdF4ICQ3IeMsyl6ZI4NK45TPK1GJ&pp=gAQBiAQB Machine Learning Regression Projects: https://www.youtube.com/watch?v=5nl2JQzCUlg&list=PLdF3rLdF4ICTDXoDdeeyz6u9VGI-XggEK&pp=gAQBiAQB Python Advance Programs: https://www.youtube.com/watch?v=KS8j67rR6_M&list=PLdF3rLdF4ICRj-s_NsGmjxiZe4GKw4bgO&pp=gAQBiAQB python search engines developement: https://www.youtube.com/watch?v=9IULlMcQLE4&list=PLdF3rLdF4ICReR8yF6AFMPwgxyD1IoFMz&pp=gAQBiAQB Coviod-19 Machine Learning Projects: https://www.youtube.com/watch?v=AhbvQbc8f-s&list=PLdF3rLdF4ICQeWXTfln9Y9TQuzQBt97HB&pp=gAQBiAQB ================================ My Acounts Links: Facebook: https://web.facebook.com/dailyverbs.wordspresentation Github: https://github.com/account Linkdin: https://www.linkedin.com/in/noor-saeed-654a23263/?lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BeidTfdQpSxSZXyUUejm5QQ%3D%3Dlipi=urn%3Ali%3Apage%3Anotifications_index_index%3Bfab7a03f-abe6-4798-af17-7239d91f7998 Kaggle: https://www.kaggle.com/noorsaeed

What is MLOps? | MLOps Explained in 15 Minutes | MLOps Tutorial | MLOps Training | Edureka

🔥MLOps Certification Training Course: https://www.edureka.co/mlops-certification-training-course In this video on "What is MLOps", you will be learning the core concepts of MLOps. MLOps (Machine Learning Operations) refers to the practice of streamlining and automating the process of building, deploying, and maintaining machine learning models in production environments. This video explains the concept of MLOps using an easy-to-understand example, highlighting the reasons why MLOps is necessary for organizations. It covers the essential components involved in the MLOps lifecycle, such as data management, model training, deployment, monitoring, and updates. By the end of the video, you will be provided with an MLOps Roadmap to kickstart your career in the domain of MLOps. The video is designed to provide a straightforward explanation of MLOps, making it accessible to both beginners and experienced professionals in the field of machine learning. ✅ 00:00 - Introduction to MLOps ✅ 01:20 - What Is MLOps? ✅ 03:02 - Example for MLOps ✅ 05:31 - Why do we need MLOps? ✅ 08:35 - Components of MLOps ✅ 11:53 - Roadmap for MLOps ✅Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV 📝Feel free to share your comments below.📝 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 🔵 DevOps Online Training: http://bit.ly/3VkBRUT 🌕 AWS Online Training: http://bit.ly/3ADYwDY 🔵 React Online Training: http://bit.ly/3Vc4yDw 🌕 Tableau Online Training: http://bit.ly/3guTe6J 🔵 Power BI Online Training: http://bit.ly/3VntjMY 🌕 Selenium Online Training: http://bit.ly/3EVDtis 🔵 PMP Online Training: http://bit.ly/3XugO44 🌕 Salesforce Online Training: http://bit.ly/3OsAXDH 🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t 🌕 Java Online Training: http://bit.ly/3tRxghg 🔵 Big Data Online Training: http://bit.ly/3EvUqP5 🌕 RPA Online Training: http://bit.ly/3GFHKYB 🔵 Python Online Training: http://bit.ly/3Oubt8M 🌕 Azure Online Training: http://bit.ly/3i4P85F 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC 🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy 🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT 🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V 🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4 🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz 🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬 🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT 🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh 🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8 📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates 📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain 📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka 📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/ 📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/ 📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN 📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN 📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/ 📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/ - - - - - - - - - - - - - - What is MLOps? MLOps, also known as Machine Learning Operations, refers to the practices, procedures, and tools employed for optimizing the deployment, management, and scaling of machine learning models in operational settings. It amalgamates principles from DevOps and data engineering to ensure the effective progression, implementation, supervision, and sustenance of machine learning frameworks. The primary goal of MLOps is to mechanize and standardize the lifespan of machine learning models, empowering entities to furnish high-quality, reliable, robust, and scalable AI solutions. - - - - - - - - - - - - - - What are the different job roles available after MLOps Certification Course? After obtaining certification in MLOps, you may be qualified for a range of job roles. Some of the more specific job roles you may be qualified for include MLOps Engineer, MLOps Lead, Devops & ML Engineer , Associate Architect - MLOps ,MLOps Consultant - - - - - - - - - - - - - - Will I get placement assistance after completing this MLOps Training? To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the ""create your resume"" option. For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: +18338555775 (toll-free).

Predictive Maintenance: AI Prevents Missile System Failures! Part 7 #ai #viral #trending

Predictive Maintenance: AI Prevents Missile System Failures! Part 7 #ai #viral #trending Keeping missiles mission-ready is critical for national defense. In this video, we'll explore how Artificial Intelligence (AI) is revolutionizing predictive maintenance for missile systems. Why Predictive Maintenance is Crucial for Missiles: High-Tech Systems: Modern missiles are complex systems with numerous components susceptible to wear and tear. Mission-Critical Performance: Missile failures during deployment can have catastrophic consequences. Preventive Maintenance vs. Reactive Repairs: Predicting and addressing potential issues before they escalate is crucial for maintaining readiness. How AI Enables Predictive Maintenance for Missiles: Sensor Data Analysis: AI can analyze data from various sensors on missiles, identifying patterns and anomalies indicative of potential problems. Machine Learning Algorithms: AI algorithms learn from historical maintenance data and sensor readings to predict future component failures. Proactive Maintenance Scheduling: Based on AI predictions, maintenance schedules can be optimized, addressing issues before they impact functionality. Real-time Health Monitoring: AI can continuously monitor missile systems, enabling early detection of problems and faster response times. Benefits of AI-powered Predictive Maintenance for Missiles: Improved System Availability: Predictive maintenance reduces downtime and ensures missiles are ready for deployment when needed. Enhanced Safety and Reliability: Proactive identification of potential failures minimizes the risk of in-flight malfunctions. Reduced Maintenance Costs: Focusing on targeted maintenance based on AI predictions can be more efficient than routine overhauls. Optimized Resource Allocation: Maintenance resources can be prioritized based on AI predictions, ensuring critical issues are addressed first. Challenges and Considerations of AI-powered Predictive Maintenance: Data Quality and Integration: The effectiveness of AI relies on access to high-quality, comprehensive sensor data from missiles and maintenance records. Explainability of AI Predictions: Understanding how AI reaches conclusions about potential failures is crucial for building trust with human maintenance personnel. Integration with Existing Systems: Seamless integration of AI-powered predictive maintenance systems with existing maintenance infrastructure is necessary. The Future of AI and Predictive Maintenance for Missiles: Development of Explainable AI (XAI) for Maintenance Prediction: Making AI's reasoning more transparent to enhance collaboration and trust with human technicians. Advanced Sensor Technologies: Integration of new sensor technologies can provide AI with even richer data for more accurate predictions. Standardization of Data Formats: Developing standardized data formats across different missile systems can facilitate better data integration and analysis. By leveraging AI, we can create a more proactive and efficient approach to missile maintenance. However, ensuring data quality, fostering trust in AI predictions, and integrating with existing systems are crucial for successful implementation. #AI #PredictiveMaintenance #MissileSystems #Maintenance #Reliability #Safety #CostSavings #ResourceAllocation #SensorDataAnalysis #MachineLearning #RealTimeMonitoring #ExplainableAI #DataQuality #Integration #FutureofMaintenance #DefenseTechnology artificial intelligence, predictive maintenance, missile systems, maintenance, reliability, safety, cost savings, resource allocation, sensor data analysis, machine learning, real-time monitoring, explainable AI, data quality, integration, future of maintenance, defense technology #artificialintelligence #ai #machinelearning #deeplearning #dataanalytics #bigdata #futureofwork #futurism #algorithms #automation #aiingujarat #educational #informative #technology #trends #future #disruption #opportunities #challenges #impact #society #humanity #vlog #music #funny #tutorial #challenge #love #gaming #comedy #art #life #cute #travel #fashion #beauty #dance #food #pets #motivation #fitness #trending #gamer #minecraft #fortnite #gta #cod #apexlegends #pubg #valorant #leagueoflegends #roblox #makeup #skincare #hairstyle #beautyhacks #hairstyletutorial #skincaretips #makeuproutine #nails #tech #gadget #review #unboxing #iphone #android #apple #samsung #smartphone #laptop #viral #ai #mobile #movie #shorts #song #game #aiinindia #viral #video #viralvideo #shorts #youtubeshorts #youtube #youtuber #ai #trending #bestvideo #funny #tekthrill www.youtube.com https://youtube.com/@TEKTHRILL?si=rl1JYFFIjD5oqpJ3 Tekthrill The AI Tekthrill Future of AI Keyur Kuvadiya Youtube

Deep Learning Part-2

🚀 Master Deep Learning from Scratch! 🧠💻 Welcome to AI Brillance]! Dive into the fascinating world of Deep Learning with our comprehensive tutorial series. Whether you're a beginner eager to grasp the fundamentals or a seasoned enthusiast looking to enhance your skills, this series has something for everyone. In this tutorial, we'll embark on an exciting journey through the core concepts of Deep Learning. From understanding neural networks to implementing advanced algorithms, we'll cover it all step-by-step. No prior experience? No problem! We'll start with the basics, ensuring that even newcomers can follow along and build a solid foundation. Here's what you can expect from this tutorial: 1. Introduction to Deep Learning: Unravel the mysteries behind neural networks and their applications in real-world scenarios. 2. Hands-on Coding: Get your hands dirty with practical coding exercises using popular libraries like TensorFlow and PyTorch. 3. Advanced Techniques: Explore cutting-edge techniques such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs). 4. Real-world Projects: Apply your newfound knowledge to exciting projects ranging from image recognition to natural language processing. Join us as we demystify the complexities of Deep Learning and empower you to unleash its full potential. Whether you're a student, researcher, or industry professional, this tutorial series is your gateway to mastering one of the most revolutionary technologies of our time. Don't miss out on the opportunity to elevate your skills and stay ahead in the rapidly evolving field of Artificial Intelligence. Subscribe now and embark on your journey to becoming a Deep Learning expert!

Deep Learning Part-3

🚀 Master Deep Learning from Scratch! 🧠💻 Welcome to AI Brillance]! Dive into the fascinating world of Deep Learning with our comprehensive tutorial series. Whether you're a beginner eager to grasp the fundamentals or a seasoned enthusiast looking to enhance your skills, this series has something for everyone. In this tutorial, we'll embark on an exciting journey through the core concepts of Deep Learning. From understanding neural networks to implementing advanced algorithms, we'll cover it all step-by-step. No prior experience? No problem! We'll start with the basics, ensuring that even newcomers can follow along and build a solid foundation. Here's what you can expect from this tutorial: 1. Introduction to Deep Learning: Unravel the mysteries behind neural networks and their applications in real-world scenarios. 2. Hands-on Coding: Get your hands dirty with practical coding exercises using popular libraries like TensorFlow and PyTorch. 3. Advanced Techniques: Explore cutting-edge techniques such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs). 4. Real-world Projects: Apply your newfound knowledge to exciting projects ranging from image recognition to natural language processing. Join us as we demystify the complexities of Deep Learning and empower you to unleash its full potential. Whether you're a student, researcher, or industry professional, this tutorial series is your gateway to mastering one of the most revolutionary technologies of our time. Don't miss out on the opportunity to elevate your skills and stay ahead in the rapidly evolving field of Artificial Intelligence. Subscribe now and embark on your journey to becoming a Deep Learning expert!

Predictive Maintenance: AI Prevents Missile System Failures! Part 8 #ai #viral #trending

Predictive Maintenance: AI Prevents Missile System Failures! Part 8 #ai #viral #trending Keeping missiles mission-ready is critical for national defense. In this video, we'll explore how Artificial Intelligence (AI) is revolutionizing predictive maintenance for missile systems. Why Predictive Maintenance is Crucial for Missiles: High-Tech Systems: Modern missiles are complex systems with numerous components susceptible to wear and tear. Mission-Critical Performance: Missile failures during deployment can have catastrophic consequences. Preventive Maintenance vs. Reactive Repairs: Predicting and addressing potential issues before they escalate is crucial for maintaining readiness. How AI Enables Predictive Maintenance for Missiles: Sensor Data Analysis: AI can analyze data from various sensors on missiles, identifying patterns and anomalies indicative of potential problems. Machine Learning Algorithms: AI algorithms learn from historical maintenance data and sensor readings to predict future component failures. Proactive Maintenance Scheduling: Based on AI predictions, maintenance schedules can be optimized, addressing issues before they impact functionality. Real-time Health Monitoring: AI can continuously monitor missile systems, enabling early detection of problems and faster response times. Benefits of AI-powered Predictive Maintenance for Missiles: Improved System Availability: Predictive maintenance reduces downtime and ensures missiles are ready for deployment when needed. Enhanced Safety and Reliability: Proactive identification of potential failures minimizes the risk of in-flight malfunctions. Reduced Maintenance Costs: Focusing on targeted maintenance based on AI predictions can be more efficient than routine overhauls. Optimized Resource Allocation: Maintenance resources can be prioritized based on AI predictions, ensuring critical issues are addressed first. Challenges and Considerations of AI-powered Predictive Maintenance: Data Quality and Integration: The effectiveness of AI relies on access to high-quality, comprehensive sensor data from missiles and maintenance records. Explainability of AI Predictions: Understanding how AI reaches conclusions about potential failures is crucial for building trust with human maintenance personnel. Integration with Existing Systems: Seamless integration of AI-powered predictive maintenance systems with existing maintenance infrastructure is necessary. The Future of AI and Predictive Maintenance for Missiles: Development of Explainable AI (XAI) for Maintenance Prediction: Making AI's reasoning more transparent to enhance collaboration and trust with human technicians. Advanced Sensor Technologies: Integration of new sensor technologies can provide AI with even richer data for more accurate predictions. Standardization of Data Formats: Developing standardized data formats across different missile systems can facilitate better data integration and analysis. By leveraging AI, we can create a more proactive and efficient approach to missile maintenance. However, ensuring data quality, fostering trust in AI predictions, and integrating with existing systems are crucial for successful implementation. #AI #PredictiveMaintenance #MissileSystems #Maintenance #Reliability #Safety #CostSavings #ResourceAllocation #SensorDataAnalysis #MachineLearning #RealTimeMonitoring #ExplainableAI #DataQuality #Integration #FutureofMaintenance #DefenseTechnology artificial intelligence, predictive maintenance, missile systems, maintenance, reliability, safety, cost savings, resource allocation, sensor data analysis, machine learning, real-time monitoring, explainable AI, data quality, integration, future of maintenance, defense technology #artificialintelligence #ai #machinelearning #deeplearning #dataanalytics #bigdata #futureofwork #futurism #algorithms #automation #aiingujarat #educational #informative #technology #trends #future #disruption #opportunities #challenges #impact #society #humanity #vlog #music #funny #tutorial #challenge #love #gaming #comedy #art #life #cute #travel #fashion #beauty #dance #food #pets #motivation #fitness #trending #gamer #minecraft #fortnite #gta #cod #apexlegends #pubg #valorant #leagueoflegends #roblox #makeup #skincare #hairstyle #beautyhacks #hairstyletutorial #skincaretips #makeuproutine #nails #tech #gadget #review #unboxing #iphone #android #apple #samsung #smartphone #laptop #viral #ai #mobile #movie #shorts #song #game #aiinindia #viral #video #viralvideo #shorts #youtubeshorts #youtube #youtuber #ai #trending #bestvideo #funny #tekthrill www.youtube.com https://youtube.com/@TEKTHRILL?si=rl1JYFFIjD5oqpJ3 Tekthrill The AI Tekthrill Future of AI Keyur Kuvadiya Youtube

Deep learning Part-4

🚀 Master Deep Learning from Scratch! 🧠💻 Welcome to AI Brillance]! Dive into the fascinating world of Deep Learning with our comprehensive tutorial series. Whether you're a beginner eager to grasp the fundamentals or a seasoned enthusiast looking to enhance your skills, this series has something for everyone. In this tutorial, we'll embark on an exciting journey through the core concepts of Deep Learning. From understanding neural networks to implementing advanced algorithms, we'll cover it all step-by-step. No prior experience? No problem! We'll start with the basics, ensuring that even newcomers can follow along and build a solid foundation. Here's what you can expect from this tutorial: 1. Introduction to Deep Learning: Unravel the mysteries behind neural networks and their applications in real-world scenarios. 2. Hands-on Coding: Get your hands dirty with practical coding exercises using popular libraries like TensorFlow and PyTorch. 3. Advanced Techniques: Explore cutting-edge techniques such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs). 4. Real-world Projects: Apply your newfound knowledge to exciting projects ranging from image recognition to natural language processing. Join us as we demystify the complexities of Deep Learning and empower you to unleash its full potential. Whether you're a student, researcher, or industry professional, this tutorial series is your gateway to mastering one of the most revolutionary technologies of our time. Don't miss out on the opportunity to elevate your skills and stay ahead in the rapidly evolving field of Artificial Intelligence. Subscribe now and embark on your journey to becoming a Deep Learning expert!

Deep Learning Part - 5

🚀 Master Deep Learning from Scratch! 🧠💻 Welcome to AI Brillance]! Dive into the fascinating world of Deep Learning with our comprehensive tutorial series. Whether you're a beginner eager to grasp the fundamentals or a seasoned enthusiast looking to enhance your skills, this series has something for everyone. In this tutorial, we'll embark on an exciting journey through the core concepts of Deep Learning. From understanding neural networks to implementing advanced algorithms, we'll cover it all step-by-step. No prior experience? No problem! We'll start with the basics, ensuring that even newcomers can follow along and build a solid foundation. Here's what you can expect from this tutorial: 1. Introduction to Deep Learning: Unravel the mysteries behind neural networks and their applications in real-world scenarios. 2. Hands-on Coding: Get your hands dirty with practical coding exercises using popular libraries like TensorFlow and PyTorch. 3. Advanced Techniques: Explore cutting-edge techniques such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs). 4. Real-world Projects: Apply your newfound knowledge to exciting projects ranging from image recognition to natural language processing. Join us as we demystify the complexities of Deep Learning and empower you to unleash its full potential. Whether you're a student, researcher, or industry professional, this tutorial series is your gateway to mastering one of the most revolutionary technologies of our time. Don't miss out on the opportunity to elevate your skills and stay ahead in the rapidly evolving field of Artificial Intelligence. Subscribe now and embark on your journey to becoming a Deep Learning expert!

Building Your Own Private GenAI Chatbot With Java Tools – A Step-by-Step Adventure

In today's software development world, several machine learning (ML) tools empower developers to craft private chatbots that cater to various needs. These chatbots harness the capabilities of large language models (LLMs) trained on confidential document sets on your local machine or enterprise data repositories. They enable you to engage with these document sets, from summarizing emails and meeting notes to gauging sentiment, extracting dates and names from websites, pre-screening resumes, and performing many other tasks. But most of these systems are Python-based. While Python is a formidable stream-of-consciousness programming language for ML, many software developers operate within the Java ecosystem, especially within large organizations prioritizing Java for robust and reliable production deployments. This presentation focuses on Java-centric tools to construct tuned assistant systems. Speaker: Frank Greco, Chairman at NYJavaSIG Frank Greco is a Java Champion and enterprise architect primarily focused on artificial intelligence, machine learning, cloud, and mobile/edge computing. He is an educator, technology manager, frequent writer, and author, and he has made visible achievements in strategic technology/business partnerships, enterprise infrastructure, and emerging technologies, particularly for financial systems and large enterprises. He is currently a senior technology consultant for a huge search company. Frank is the co-author of JSR # 318, the Visual Recognition Machine Learning API for Java. He is a frequent global speaker at major technology trade shows such as QCon, DevNexus, Jfokus, Devoxx, Technology Transfer International, JavaOne, etc. Join us: Website: https://jb.gg/website Blog: https://jb.gg/blog Twitter: https://twitter.com/intellijidea Facebook: https://www.facebook.com/IntelliJIDEA/ Download IntelliJ IDEA: https://jb.gg/download-intellij-idea Top 15 IntelliJ IDEA shortcuts: https://jb.gg/Top15IntelliJIDEAShortcuts #ai #chatbot #jetbrains #inetllijidea #intellijideaconf