【10分で分かる】過学習を分かりやすく解説!回避方法にはどのようなものがあるのか!
Learn the essential knowledge and study methods for machine learning here: https://toukei-lab.com/machine-learni... In this video, we'll explain overfitting! The concept of overfitting is important to keep in mind when using machine learning techniques to build models and calculate predictive accuracy. If you don't fully understand overfitting and build your model, it may appear to be accurate at first glance, but when you actually predict future data, it may be completely inaccurate. Let's get a firm grasp on overfitting now! This video will explain overfitting in two parts. ・What is overfitting? ・Various ways to avoid overfitting [Viewing Guide] 01:04 What is overfitting? 03:08 Various ways to avoid overfitting 03:33 Validating by separating training and validation data 06:14 Using information criteria such as AIC and BIC [Things to take away from this video] ・Overfitting is the process of creating a model that perfectly matches the data at hand and is completely incompatible with future data. ・To avoid overfitting, validation is performed by separating training and validation data. ・There are several other ways to avoid overfitting, including using information criteria such as AIC and BIC. More in-depth explanations and programming implementations are available on our website. We've included the URL below, so please take a look! ■StaVisi StaVisi is a channel dedicated to sharing the excitement of data science with the motto, "Making data science more accessible!" Subscribe here↓ / @aiby8596 ■Website (Media for Data Science) *Formerly: Statistics Lab https://toukei-lab.com/ ・Overfitting https://toukei-lab.com/over-fitting ・Cross-Validation https://toukei-lab.com/cross-validation ・About Variance and Bias https://touk ei-lab.com/ensemble ■Related Videos ・Introduction to Machine Learning • 【超入門】機械学習をビジネスの例も出しながら解説していく! ■"A Cost-Effective School for Learning Data Science": Stabiz Academy https://toukei-lab.com/achademy ■Twitter Account Umatan @stabiz: / statistics1012 ■Udemy Courses I Teach The following article lists all the AI and data science courses I teach! https://toukei-lab.com/my-udemy-course This article offers a limited-time instructor coupon (up to 94% off!) for all courses, so please use it when you take the course! ■Published Books ・We, the Newbie Data Scientists, Will Change the World https://amzn.to/36XbMFJ ・[Introduction] Learn Python and Become an Elite Businessman! A Dropout Salaryman's Turnaround: https://amzn.to/31drMyU ・Grandma Learns Web Marketing and Makes a V-Shaped Turnaround for Her General Store! https://amzn.to/3vG3tqC ・Understanding Digital Marketing and Data Analysis Through Manga https://amzn.to/44iT84Q ・Data Science Encyclopedia - 49 Simple Terms and 13 Practices https://amzn.to/3mFzhwG
![[Understand in 10 minutes] Explaining how to deal with and evaluate imbalanced data, which is imp...](https://i.ytimg.com/vi/0kS-8vaAvRo/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCRf442AovwQHLxZTD0EKVEB2UR7A)
[Understand in 10 minutes] Explaining how to deal with and evaluate imbalanced data, which is imp...

【機械学習入門】Pythonで機械学習を実装したい人がはじめに見る動画(教師あり学習・回帰)

【Claude Code超入門】実は簡単?!Claude Codeで実際にWebサイトを作成する様子を初心者でもわかるように解説させていただきます

Chichvarkin Saves Putin | Vitaly Portnikov

MCP|ちゃんと理解したい初心者のための「MCP(Model Context Protocol)」解説【AIトレンドワード】【初心者向け】
![[Understand in 8 minutes] What is Transformer, the basis for ChatGPT and other technologies?](https://i.ytimg.com/vi/QlfhLMUoJjw/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLClNa-FeeFC8xk6t442k2SwHAGpUg)
[Understand in 8 minutes] What is Transformer, the basis for ChatGPT and other technologies?

高校数学からはじめる深層学習入門(畳み込みニューラルネットワークの理解)

The Most Important Conversation in AI Right Now
![[AI-Induced Mass Unemployment Era] Legendary Programmer Satoshi Nakajima's Future Predictions / C...](https://i.ytimg.com/vi/i73Cul3gm6M/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBjEL6pHyyENK8jAlkVzqDIjR7XIQ)
[AI-Induced Mass Unemployment Era] Legendary Programmer Satoshi Nakajima's Future Predictions / C...

【機械学習】教師あり学習と教師なし学習の違い

構造化プログラミングが、混沌だったフローチャートに秩序を与えた【プログラミングパラダイム・シフト2】#65

【AI勉強会】国会議員がバイブコーディングに挑戦!指示はチャットだけ?15秒で完成!? "体感"が政治と未来を変える #チームみらい【安野貴博事務所主催】

How Neural Networks Work | Chapter 1, Deep Learning

The Moment That Changed Software Development!
![[Understand in 9 minutes] An easy-to-understand explanation of logistic regression analysis!](https://i.ytimg.com/vi/SL-kq73uIYs/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLC510uL9IXVOPvvs64JFrCZKaVMxQ)
[Understand in 9 minutes] An easy-to-understand explanation of logistic regression analysis!

The Ultimate Guide to Loop Engineering: Essential Knowledge for AI Efficiency! Expert Insights on...

Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

Prof. Dr. Christian Bauckhage (Fraunhofer IAIS): AI - We haven't seen anything yet!

A Complete Guide to the Local LLM I’m Most Excited About! An AI Pro’s Perspective on Running LLMs...

