Resource of free step by step video how to guides to get you started with machine learning.
Monday, January 24, 2022
[05x01] What is Machine Learning?
Machine Learning is an exciting new field that is growing rapidly. But what exactly is it? In this tutorial, you'll learn what Machine Learning is and you'll understand how it's related to Artificial Intelligence and Deep Learning. You'll also learn about the broad classifications of the Machine Learning algorithms: Supervised Learning, Unsupervised Learning and Reinforcement Learning. This is the first tutorial in a new 13-part series called Julia Machine Learning for Beginners. There is no coding in this introductory tutorial, so there are no prerequisites for this episode. However, for the rest of the tutorial series, knowledge of Julia and VS Code is required. - This tutorial is intended for students, hobbyists and amateurs. - This tutorial is episode 01 of a 13-part series and is part of the Julia Machine Learning for Beginners playlist. - Schedule: New tutorials are posted on Sundays / Mondays. - Prerequisites: none. 00:00 Intro 04:50 A Brief History of Artificial Intelligence 10:03 What is Artificial Intelligence? 13:36 What is Machine Learning? 23:01 Supervised Learning 25:27 Unsupervised Learning 27:51 Reinforcement Learning 29:17 What is Deep Learning? 31:54 Recap 33:31 Outro ######################################## # Links for this tutorial ######################################## # Julia for Beginners Playlist https://www.youtube.com/watch?v=0oChN11wf_4&list=PLhQ2JMBcfAsi_3g2AFJ6B84d8c5jw5kXp # Package development in VSCode | Workshop | JuliaCon 2021 (Sebastian Pfitzner) https://youtu.be/F1R3ETaRQXY ######################################## # Links for this series ######################################## # The Julia Programming Language https://julialang.org/ https://docs.julialang.org/en/v1/ https://www.youtube.com/c/TheJuliaLanguage # VS Code https://code.visualstudio.com/ ######################################## Notice of Non-Affiliation and Disclaimer: I am not affiliated, associated, authorized, endorsed by, or in any way officially connected with The Julia Programming Language, Julia Academy, Julia Computing, Microsoft, or any of their subsidiaries or their affiliates. Nor am I affiliated, associated, authorized, endorsed by, or in any way officially connected with any software, packages or libraries used in this video. All marks, emblems and images are registered trademarks of their respective owners. Use of them does not imply any affiliation with or endorsement by them. ######################################## Join Button (Channel Membership): If you like what I do, then please consider Joining and becoming a Channel Member. https://www.youtube.com/channel/UCQwQVlIkbalDzmMnr-0tRhw/join Thank you!
Labels:
AI how to,
Learn machine learning,
machine learning Tutorial,
supervised learning tutorial,
Tutorial
Published by Free artificial intelligence and machine learning video tutorial resource
Related video tutorials
Subscribe to:
Post Comments (Atom)
Most watched
-
Quick answer: Qwen 3 32B needs about 22.7 GB of VRAM at Q4_K_M with a 4k-token context — a used 24 GB card like the RTX 3090 is the minimu...
-
Using GPUs in TensorFlow, TensorBoard in notebooks, finding new datasets, & more! (#AskTensorFlow) [Collection] In a special live ep...
-
Inside TensorFlow: Summaries and TensorBoard [Collection] Take an inside look into the TensorFlow team’s own internal training sessions-...
-
Quick answer: DeepSeek V4 Flash is a Mixture-of-Experts model: all 284 billion parameters must be stored, so combined RAM plus VRAM — not ...
-
Quick answer: For an 8B model at Q4, local electricity costs roughly $0.05 per million output tokens — against about $0.53 per million ble...
-
Hey everyone This is Ujjwal kapil B.tech 2nd year Ai and Ml In this video we covered one of the most important question "COLLEGE KAB O...
-
Quick answer: For machine-learning work, buy an external SSD over a spinning hard drive, pick USB 3.2 Gen 2 (10 Gbps) or faster, and size f...
-
Quick answer: Yes, for most budget builders: a used RTX 3090 is still the cheapest route to 24 GB of VRAM with full CUDA support. Capacity...
-
This video is a crash course on understanding how finetuning on LLM models can be performed uing QLORA,LORA, Quantization using LLama2, Grad...
-
In this video, you'll learn how to use machine learning, computer vision and deep learning to create a football analysis system. This pr...
No comments:
Post a Comment