Resource of free step by step video how to guides to get you started with machine learning.
Saturday, April 27, 2024
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
Subscribe to:
Post Comments (Atom)
-
Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow) [Collection] In a special live ep...
-
JavaやC++で作成された具体的なルールに従って動く従来のプログラムと違い、機械学習はデータからルール自体を推測するシステムです。機械学習は具体的にどのようなコードで構成されているでしょうか? 機械学習ゼロからヒーローへの第一部ではそのような疑問に応えるため、ガイドのチャー...
-
#deeplearning #noether #symmetries This video includes an interview with first author Ferran Alet! Encoding inductive biases has been a lo...
-
How to Do PS2 Filter (Tiktok PS2 Filter Tutorial), AI tiktok filter Create your own PS2 Filter photos with this simple guide! 🎮📸 Please...
-
#ai #attention #transformer #deeplearning Transformers are famous for two things: Their superior performance and their insane requirements...
-
K Nearest Neighbors Application - Practical Machine Learning Tutorial with Python p.14 [Collection] In the last part we introduced Class...
-
Challenge scenario You were recently hired as a Machine Learning Engineer at a startup movie review website. Your manager has tasked you wit...
-
We Talked To Sophia — The AI Robot That Once Said It Would 'Destroy Humans' [Collection] This AI robot once said it wanted to de...
-
Programming R Squared - Practical Machine Learning Tutorial with Python p.11 [Collection] Now that we know what we're looking for, l...
-
RNN Example in Tensorflow - Deep Learning with Neural Networks 11 [Collection] In this deep learning with TensorFlow tutorial, we cover ...
No comments:
Post a Comment