ML5G Challenge tutorial: introduction to communication networks | AI/ML IN 5G CHALLENGE

As part of the Machine Learning in 5G Challenge, this mentoring session is open to participants or students who are new to networking or telecommunications. The tutorial will introduce some common concepts in a simplified way so that you can become familiar with basic and common terms used. 🎙 Speakers: Thomas Basikolo‬, Young Expert - AI/ML, International Telecommunication Union (ITU) Vishnu Ram OV, Independent Research Consultant, International Telecommunication Union (ITU) #ML5G 5GNetworks Join the Neural Network! 👉https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to advance the SDGs using AI. 🔴 Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos Explore more #AIforGood content: 1️⃣ AI for Good Top Hits https://www.youtube.com/playlist?list=PLQqkkIwS_4kXXQWhP4vSr0Rtl13t2Ud2w 2️⃣ AI for Good Webinars https://www.youtube.com/playlist?list=PLQqkkIwS_4kUwDVioxixBf8OYlGAS_9_z 3️⃣ AI for Good Keynotes https://www.youtube.com/playlist?list=PLQqkkIwS_4kUmK6zjiuWWE4fImrbGBWRF 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 📅 Discover what's next on our programme! https://aiforgood.itu.int/programme/ 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ Twitter: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood What is AI for Good? We have less than 10 years to solve the UN SDGs and AI holds great promise to advance many of the sustainable development goals and targets. More than a Summit, more than a movement, AI for Good is presented as a year round digital platform where AI innovators and problem owners learn, build and connect to help identify practical AI solutions to advance the United Nations Sustainable Development Goals. AI for Good is organized by ITU in partnership with 40 UN Sister Agencies and co-convened with Switzerland. Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.

Python Machine Learning Tutorial

Interested to learn more about Python Machine Learning? Then check out our detailed video on Python Machine Learning Tutorial, through detailed examples. JCG Related Articles: https://examples.javacodegeeks.com/machine-learning-with-python/ Sections: 00:00 - What is Machine Learning 07:16 - Neural Network 15:35 - TensorFlow Framework 18:50 - Example Instructor Mike Møller Nielsen: Mike was born in 1977 in Kolding / Denmark and he has a passion for programming and tech in general. He works on a freelance basis mostly in Denmark where he develops full-stack applications mostly written in Java with Spring Boot. He has a bachelor's in Chemistry which he took before migrating to IT engineering. He has a YouTube channel where he spreads knowledge and solutions to everyday problems. YouTube: https://www.youtube.com/c/MikeMøllerN... LinkedIn: https://www.linkedin.com/in/mike-møll... Site: https://www.codeinvestigator.com/ Visit https://www.javacodegeeks.com/ for the best Java tutorials around. Follow Us: RSS: https://feeds.feedburner.com/JavaCodeGeeks Facebook: https://www.facebook.com/javacodegeeks Twitter: https://twitter.com/javacodegeeks LinkedIn: https://www.linkedin.com/groups/Java-Code-Geeks-3810709 #python #pythontutorial #JavaScriptProgramming #LearnPython

Google’s New Self-Driving Robot Is Amazing! 🤖

❤️ Check out Lambda here and sign up for their GPU Cloud: https://ift.tt/40AGycV 📝 The paper "LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action" is available here: https://ift.tt/lI4kaAv Website layout with GPT-3: https://twitter.com/sharifshameem/status/1283322990625607681 Image interpolation video with Stable Diffusion: https://twitter.com/xsteenbrugge/status/1558508866463219712 ❤️ Watch these videos in early access on our Patreon page or join us here on YouTube: - https://ift.tt/BGWPA6u - https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg/join 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Ivo Galic, Jace O'Brien, Jack Lukic, John Le, Jonas, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Michael Albrecht, Michael Tedder, Nevin Spoljaric, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://ift.tt/BGWPA6u Thumbnail background image credit: https://ift.tt/kqU1CXE Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Instagram: https://ift.tt/z2fcRph Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/g5ZcEej

Python Machine Learning Tutorial

Interested to learn more about Python Machine Learning? Then check out our detailed video on Python Machine Learning Tutorial, through detailed examples. JCG Related Articles: https://examples.javacodegeeks.com/machine-learning-with-python/ Sections: 00:00 - What is Machine Learning 07:16 - Neural Network 15:35 - TensorFlow Framework 18:50 - Example Instructor Mike Møller Nielsen: Mike was born in 1977 in Kolding / Denmark and he has a passion for programming and tech in general. He works on a freelance basis mostly in Denmark where he develops full-stack applications mostly written in Java with Spring Boot. He has a bachelor's in Chemistry which he took before migrating to IT engineering. He has a YouTube channel where he spreads knowledge and solutions to everyday problems. YouTube: https://www.youtube.com/c/MikeMøllerN... LinkedIn: https://www.linkedin.com/in/mike-møll... Site: https://www.codeinvestigator.com/ Visit https://www.javacodegeeks.com/ for the best Java tutorials around. Follow Us: RSS: https://feeds.feedburner.com/JavaCodeGeeks Facebook: https://www.facebook.com/javacodegeeks Twitter: https://twitter.com/javacodegeeks LinkedIn: https://www.linkedin.com/groups/Java-Code-Geeks-3810709 #python #pythontutorial #JavaScriptProgramming #LearnPython

Beginner Tutorial (Python) | Coding a News Narrator Application using Requests Module | Educational

Like, Subscribe, Share - AND DON'T FORGET TO LEAVE A COMMENT! SUGGEST CHANGES TO ME IN TWITTER OR COMMENTS In This Video, We Programmed an app that fetches Latest news using an API. Get Started With NewsAPI - https://newsapi.org/ Source Code and Resources - https://github.com/KrishnaTheCoder756/News-Reader-App/ Neovim Config - https://www.youtube.com/watch?v=JWReY93Vl6g Note: This config Video will suggest coc-python at the last steps for autocompletion. But as it is outdated now, install coc-pyright and coc-snippets... Another Vim Resource You May Want To See - https://www.youtube.com/watch?v=ZlyiNuxlkJY&t Chapters: 00:00 Introduction And Setup 04:34 Coding The App 12:22 NewsAPI Introduction 15:06 Coding The App Again 22:42 Finished! =============== 🔗 ================ Twitter - https://twitter.com/KAEKrishCodes Discord - https://discord.gg/7JFkBfB3JN =============== 🔗 ================ Hashtags :- #python #pythonprogramming #python3 #coding #codinglife #technology #games #game_development #practicemakesperfect #codingforkids #programmer #codinglife #programminglife #javascript #java #pythonprojects #pythonforbeginners #pythonprojectideas #tutorial #ai #machinelearning #datascience #howtocodewell #howtocode #kids #educational #technology #relaxing #asmr #asmrsounds #tkintertutorial #tkinter #request #news #latestnews #breakingnews #api #newstatus tags: python pythonprogramming python3 coding codinglife technology games game_development practicemakesperfect codingforkids programmer codinglife programminglife javascript java pythonprojects pythonforbeginners pythonprojectideas tutorial ai machinelearning datascience howtocodewell howtocode programminglearning codingforbeginners kids learning education asmr ASMR soothing sound, calming sound, Noise Cancelling App, Nextjs, python coding, how to code, how to start coding, how to learn coding, programming in python, tkinter tutorial, tkinter, how to code, coding career, how to do programming, best language to learn, reactjs, React, Next, Vanilla, Coding Tutorial, automation, coding, requests, python modules, variables, data types, datatypes, integer, string, boolean, requests module Copyright Disclaimer: Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use.

OpenPair: (Explanation) Vectorization w/ Python & Numpy (Machine Learning, AI)

--- This video is an explanation (tutorial) about Vectorization in python Summary: Vectorization allows you to use GPU hardware to perform calculations in parallel, which makes executing numerical operations much faster. 📖 Notes: • PDF Notes on Vectorization: https://lnkd.in/ekvb-mkj • PDF Version of this Jupyter Notebook: https://tinyurl.com/waukznss --- 🎒 Resources: • Machine Learning for Humans: https://lnkd.in/ggyTSdpK • Python for Data Analysis: https://lnkd.in/g4zR_4eu • Learn Pytorch: https://lnkd.in/gSerhAQM • Pytorch Reading Materials: https://lnkd.in/gZu-gUPy • Machine Learning (Coursera): https://lnkd.in/gFWfD-7j • Deeplearning Book: tinyurl.com/ywkfk9zu • Deeplearning/ML Notation Guide: tinyurl.com/yck3w9k2 ---- 🙋🏾‍ About Me: • LinkTree: https://lnkd.in/g55q-znf • LinkedIn: https://lnkd.in/g2AWuSqv • Tech Blog: https://www.mater.dev/ • Instagram: https://lnkd.in/ekC8eFb --- Credits: Music credits (Stomp's Playlist): https://www.youtube.com/watch?v=_jUJmTMSS00 Artwork by Mater Development

FREE LIVE ZOOM WEBINAR on Deep Learning Using Tensorflow SeriesI - DAY 1 I | FREE WEBINAR | LEARNBAY

#webinars #tensorflow #learnbay FREE LIVE ZOOM WEBINAR on Deep Learning Using Tensorflow Series I - DAY 1 | FREE WEBINAR | LEARNBAY Tensorflow was created for the Deep learning model, and the framework was created by Google. Deep learning is a category of machine learning models that uses multi-layer neural networks. #tensorflow #deeplearning #onlinelearning #onlinelectureseries #dataextraction #pythonprogramming #dataset #datasets #datascience #pythondatascience #webinars #webinarzoom #freewebinar #freewebinars #python #datatypes #machinelearning #learndatascience #datasciencewithpython #Learnbay FREE LIVE ZOOM WEBINAR on Deep Learning Using Tensorflow Series I - DAY 1 | FREE WEBINAR | LEARNBAY FREE LIVE ZOOM WEBINAR on Deep Learning Using Tensorflow Series I - DAY 1 | FREE WEBINAR | LEARNBAY ⏩Subscribe to our channel for concepts relating to machine learning : https://www.youtube.com/channel/UC-nt... ⏩Visit our blog for more topics: https://learnbay.org/data-science-course/data-science-for-working-professionals/ 😍To learn in detail about Data Visualization, data visualization using tableau, charts, graphs, etc. visit: https://bit.ly/3x6dbmS 👉🏻Watch detailed videos on : ▶️Python for data science: https://www.youtube.com/playlist?list=PLl1gyDCKkiQQ8Z-d5w4a22JKuKRPdjqNe ▶️Data science full course structure and syllabus: https://www.youtube.com/playlist?list=PLl1gyDCKkiQSfppJ4EPIDlvNPmPSKUQad ▶️Machine learning course: https://www.youtube.com/playlist?list=PLl1gyDCKkiQS3N0UqEtwAzG9l8l6eH_-0 ▶️Statistics for data science: https://www.youtube.com/playlist?list=PLl1gyDCKkiQRoADJw0YyvUdw9J9RSBjbJ ▶️Data visualization detailed course: https://youtu.be/cfYKC0l-ODg 📌Learn more: http://bit.ly/DatascienceCourse 👉🏻For more updates on courses/data science, artificial intelligence, machine learning check out : 📌https://bit.ly/Learnbay_Website 📞 Schedule a free call with our expert for Career Counselling & Profile Review - https://calendly.com/learnbaysocials/... 📌Youtube - https://bit.ly/Learnbay_YouTube 📌Instagram - https://instagram.com/learnbayofficial 📌Facebook - https://www.facebook.com/learnbay/ 📌LinkedIn - https://www.linkedin.com/company/learnbay/ 📌Twitter - https://twitter.com/Learnbay 📌Pinterest - https://bit.ly/Learnbay_Pinterest 📌Tumblr - https://bit.ly/Learnbay_Tumblr

NVIDIA’s New AI: Beautiful Simulations, Cheaper! 💨

❤️ Check out Lambda here and sign up for their GPU Cloud: https://ift.tt/FhQLfU1 📝 The paper "NeuralVDB: High-resolution Sparse Volume Representation using Hierarchical Neural Networks" is available here: https://ift.tt/gK528kN https://ift.tt/6YuDGzn https://ift.tt/vTDRnJs 📝 The paper with the water simulation is available here: https://ift.tt/SDgtM5e ❤️ Watch these videos in early access on our Patreon page or join us here on YouTube: - https://ift.tt/Csng21v - https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg/join 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Ivo Galic, Jace O'Brien, Jack Lukic, John Le, Jonas, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Michael Albrecht, Michael Tedder, Nevin Spoljaric, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://ift.tt/Csng21v Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Instagram: https://ift.tt/zfD58iI Twitter: https://twitter.com/twominutepapers Web: https://ift.tt/97do3Hs

Detecting cats and parrots using a machine learning model with AI builder in #PowerAutomate

JadBio Tutorial | AutoML | OpenAI | Machine Learning | Artificial Intelligence |

Python and Machine Learning Bootcamp [Day-6] | ED SPREAD

Python and Machine Learning Bootcamp [Day-6] | ED SPREAD THE ATTENDANCE LINK WILL BE PROVIDED IN THE LIVE CHAT : https://forms.gle/Zy5gkdUijkLV8qfz9 STAY CONNECTED WITH US ON : LINKEDIN: https://www.linkedin.com/company/ed-spread/ INSTAGRAM: https://www.instagram.com/edspread.in/ TELEGRAM: https://t.me/edspread ▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶ Topics will be covered in this Video: 1. Introduction to Machine learning 2. Why Machine learning 3. Supervised learning 4. Unsupervised learning 5. Reinforcement learning ▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶ python tutorial in hindi learn python in hindi python full course in hindi python tutorial for beginners python hindi complete python tutorial python tutorial code with harry python tutorial in hindi python class 10 cbse python tutorial python class 12 learn python for free python course in hindi free hindi course python learn python hindi hindi tutorial on python python programming tutorial in hindi how to code programming python python language how to code in python python tutorial learn python study python course coding placements python tutorial python tutorial for beginners learn python python python for beginners python full course python programming python programming language python (programming language) how to learn python what is python python training python programming tutorial python tutorials python in hindi python complete course python course best python course ▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶▶ #youtubeclone #react #edspread #python #pythontutorial #pythonprogramming #pythonforbeginners #pythonprojects #machinelearningwithpython #machinelearning #machinelearningproject #machinelearningprojects

Machine Learning Track 3: Making and AI With a Smol Brain

Smol brains matter!

OpenPair: (Explanation) Modeling Linear Regression w/ Python (Machine Learning, AI)

Exploring Linear Regression as a way to model a dataset, using the Python Programming Language ---- Learn more about me and my work by following any of these links: LinkTree: https://linktr.ee/mater.dev LinkedIn: https://www.linkedin.com/in/materdev/ Tech Blog: https://www.mater.dev/ Instagram: https://www.instagram.com/mater.dev/

Learn AI and Machine Learning (No Programming Required!)

OpenPair: (Study-Session) Cost-Function Modeling - Part 2 (Machine Learning, AI)

--- This is a study session, not a tutorial. I do a little explaining and verbally talk through what I'm doing. I will post a review video that will concisely go over the topic as a follow-up) --- Exploring Cost-Function as a method of measuring the accuracy of Linear Regression Lines, using Python. Based on Coursera Machine Learning Course: https://www.coursera.org/learn/machine-learning ---- Learn more about me and my work by following any of these links: LinkTree: https://linktr.ee/mater.dev LinkedIn: https://www.linkedin.com/in/materdev/ Tech Blog: https://www.mater.dev/ Instagram: https://www.instagram.com/mater.dev/ --- Music credits: https://www.youtube.com/watch?v=FE3Imqn63sc Artwork by Mater Development

[English] aiClub.AI - NLP Class 4 POS Tagging Using DL Python Tutorial With Shailendra Kadre

[English] aiClub.AI - NLP Class 4 POS Tagging Using DL Python Tutorial With Shailendra Kadre

OpenPair: (Explanation) Modeling Linear Regression w/ Python (Machine Learning, AI)

Exploring Linear Regression as a way to model a dataset, using the Python Programming Language ---- Learn more about me and my work by following any of these links: LinkTree: https://linktr.ee/mater.dev LinkedIn: https://www.linkedin.com/in/materdev/ Tech Blog: https://www.mater.dev/ Instagram: https://www.instagram.com/mater.dev/

Learn AI and Machine Learning (No Programming Required!)

[English] aiClub.AI - NLP Class 4 POS Tagging Using DL Python Tutorial With Shailendra Kadre

[English] aiClub.AI - NLP Class 4 POS Tagging Using DL Python Tutorial With Shailendra Kadre

Heart Disease Prediction Project Using Machine Learning Algorithms | Flask Deployment | UBprogrammer

Heart Disease Prediction Project Using Machine Learning Algorithms | Flask Deployment | UBprogrammer Support my efforts: https://www.buymeacoffee.com/ubprogrammer To Discuss Source Code and other projects like that, Please text me on: Whatsapp: +923484122900 Email: ubaidp1049@gmail.com Website: https://ubprogrammer.com/ Instagram: https://www.instagram.com/ubaidp1049/ LinkedIn: https://www.linkedin.com/in/ubaidahmadceh/ Related Keywords: heart disease prediction using python,healthcare,convolutional neural network,deep learning,keras,machine learning,alphacare,tensorflow,siraj raval machine learning, wired machine learning, learn machine learning, machine learning wired, machine learned, machine learning course, machine learning python, machine learning youtube, edureka machine learning, 5 levels machine learning, machine learning projects, machine learning explained, machine learning algorithms, machine learning hidden door, machine learning explanation, explanation machine learning, 5 levels of machine learning, machine learning for beginners, data science, data science 101, learn data science, datascience, data science course, data scientist, what is data science, data science tutorial, data science explained, data science with python, simplilearn data science, data science in 5 minutes, data science applications, data engineer, data science for beginners, introduction to data science, who is a data scientist, computer science, data scientist day in the life, what is data science for beginners, data mining, final year project ideas, final year projects for it, final year projects for cse, best final year projects for it, best final year projects for cse, final year projects for it and cse, best final year project ideas for it, best final year project ideas for cse, best final year projects for it and cse, final year projects for computer science, final year projects for information technology, best final year projects for it and cse for 2022, interview preparation tips, deeplearning, deep learning, learning, deep learning ai, basics of deep learning, deep learning tensorflow, deep learning full course, deep learning introduction, deep learning crash course, what is deep learning, deep learning tutorial, deep learning explained, simplilearn deep learning, introduction to deep learning, deep learning in 5 minutes, deep learning tutorial for beginners, intro to machine learning, machine learning tutorial, simplilearn, deep, artificial intelligence, learn artificial intelligence, artificial intelligence edureka, artificial general intelligence, what is artificial intelligence, artificial intelligence tutorial, types of artificial intelligence, artificial intelligence explained, artificial intelligence computers, artificial intelligence applications, general intelligence, artificial intelligence for beginners, introduction to artificial intelligence, superintelligence, computer intelligence, python, python 3, python 2020, python 2019, learn python, python course, python basics, python language, python tutorial, python programming, python full course, python crash course, python from scratch, python tutorial 2018, python for beginners, introduction to python, learn python programming, getting started with python, python programming language, python programming tutorial, programming, python (programming language), python tutorial for beginners, code with mosh, r programming, programming, r programming course, r programming tutorial, r programming training, r (programming language), data science with r programming, data exploration, training, data science training, machine learning, feature engineering, language, machine learning with r, r tutorial, data science, data analysis, data scientist, data visualization, r course, research, tutorial, data science tutorial, statistics, quantitative, visualization, statistical software, data, machine learning projects, machine learning project, python machine learning projects, machine learning projects in python, machine learning projects for beginners, machine learning, machine learning for beginners, python machine learning projects for beginners, python machine learning program, ai projects for beginners, ml project ideas, ml projects for beginners, ml project ideas for beginners, deep learning projects, deep learning, deep learning beginner, opencv projects, nlp projects, object detection projects, tensorflow projects, pytorch projects, forecasting deep learning, stock prediction, neural nets, object detection, style transfer, nlp, opencv, python, python projects, mini python projects, python beginner projects, mini projects, projects, python projects for beginners, 5 mini projects, UBprogrammer, ubprogrammer.com

Artificial Intelligence: What is Machine Learning with real world examples

In this tutorial, we discuss what machine learning is, the four types of machine learning, and conclude with real world examples to help you understand. Machine Learning is a subset of Artificial Intelligence. Remember to like this video and subscribe to our channel. This encourages us to bring you more of such videos. https://www.expert.ai/blog/machine-learning-definition/ https://www.ibm.com/cloud/learn/machine-learning https://www.spiceworks.com/tech/artificial-intelligence/articles/what-is-ml/

Tutorial - Manojit Nandi: Assessing and mitigating unfairness in AI systems

Fairness in AI systems is an interdisciplinary field of research and practice that aims to understand and address some of the negative impacts of AI systems on society, with an emphasis on improving the impacts of such systems on historically underserved and marginalized communities. In this tutorial, we will walk through the process of assessing and mitigating fairness-related harms in the context of the U.S. health care system. Specifically, we will consider a scenario involving patient health risk modeling that has demonstrated racial disparities (Obermeyer et al., 2019). This tutorial will consist of a mix of instructional content and hands-on demonstrations using Jupyter notebooks. Participants will use the Fairlearn library to assess an ML model for performance disparities across different racial groups and mitigate those disparities using a variety of algorithmic techniques. Participants will also learn how to explore, document, and communicate fairness issues, drawing on resources such as datasheets for datasets and model cards. Participants are expected to have intermediate Python skills and familiarity with Scikit-Learn. For maximal benefit, participants should have some experience training and evaluating supervised models in Python.

Graph+AI Breakout: TigerGraph Machine Learning Workbench

Recent research has shown the success of graph neural networks (GNNs) and graph-enhanced machine learning models outperforming conventional machine learning approaches. TigerGraph’s Machine Learning Workbench provides a faster and easier way to develop graph-enhanced machine learning models and GNNs by utilizing the connected data stored in a TigerGraph database. In this session, we'll introduce the TigerGraph Machine Learning Workbench, showing how simple it is to create a GNN model for a fraud transaction detection application.

[English] aiClub.AI - NLP Class 2 My First NLP Python Tutorial With Shailendra Kadre

[English] aiClub.AI - NLP Class 2 My First NLP Python Tutorial With Shailendra Kadre

The hidden dangers of loading open-source AI models (ARBITRARY CODE EXPLOIT!)

#huggingface #pickle #exploit Did you know that something as simple as loading a model can execute arbitrary code on your machine? Try the model: https://ift.tt/TZGhln9 Get the code: https://ift.tt/6bFz5sY Sponsor: Weights & Biases Go here: https://wandb.me/yannic OUTLINE: 0:00 - Introduction 1:10 - Sponsor: Weights & Biases 3:20 - How Hugging Face models are loaded 5:30 - From PyTorch to pickle 7:10 - Understanding how pickle saves data 13:00 - Executing arbitrary code 15:05 - The final code 17:25 - How can you protect yourself? Links: Homepage: https://ykilcher.com Merch: https://ift.tt/vpa60F7 YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://ift.tt/NfMEgQ2 LinkedIn: https://ift.tt/PnkLgF8 If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://ift.tt/4C7BRZi Patreon: https://ift.tt/yOQrCto Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n

Real Ai Art

These images are created by Ai machine no human intervention involved in it # AI # Machine Learning # Robert # Animation # Art # Painting # Drowning # Learning # Tutorial # Meditation Music # Relaxing Music # Space Sound # Devil # Beautiful # Amazing

[English] aiClub.AI - NLP Class 2 My First NLP Python Tutorial With Shailendra Kadre

[English] aiClub.AI - NLP Class 2 My First NLP Python Tutorial With Shailendra Kadre