Normcore LLM Reads
normcore-llm.md Anti-hype LLM reading list Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought. Foundational Concepts Pre-Transformer Models The Illustrated Word2vec - A Gentle Intro to Word Embeddings in Machine Learning (YouTube) Transformers as Support Vector Mach
100+ Best Free Machine Learning Books (2024 List)
Hi Everyone! In this article, you’ll find 100+ Free Machine Learning Books. These eBooks will be either in PDF or in the HTML Format. This book collection is updated in 2024 and all the ebooks are suitable for beginners, intermediate, and experts. Note: We’ve added affiliate links to all the books for you if you want to buy the book. As an Amazon Associate, We may get a small amount of commission
【記事更新】私のブックマーク「反実仮想機械学習」（Counterfactual Machine Learning, CFML） | 人工知能学会 (The Japanese Society for Artificial Intelligence)
Home » リソース » 私のブックマーク » 【記事更新】私のブックマーク「反実仮想機械学習」（Counterfactual Machine Learning, CFML） 反実仮想機械学習（Counterfactual Machine Learning, CFML）齋藤 優太（東京工業大学） はじめに機械学習の応用において，反実仮想（Counterfactual）─起こり得たけれども実際には起こらなかった状況─についての情報が得られるとうれしい場面が多くある．例えば，「今動いている推薦アルゴリズムを仮に別のアルゴリズムに変えたときにコンバージョン率はどれくらいになるだろうか？」や「あるユーザに仮にクーポンを与えた場合に離反率はどれくらい減少するだろうか？」などの実務現場でよくある問いに答えるためには，反実仮想についての情報を知る必要がある． 反実仮想機械学習（CFML）とは，因果効果
Top Trends of Graph Machine Learning in 2020
SourceThe year 2020 has just started but we can already see the trends of Graph Machine Learning (GML) in the latest research papers. Below is my view on what will be important in 2020 for GML and the discussion of these papers. IntroductionThe goal of this article is not on introducing the basic concepts of GML such as graph neural networks (GNNs), but on exposing cutting-edge research that we ca
Machine Learning Open Source of the Month (v.Apr 2018)
For the past month, we ranked nearly 250 Machine Learning Open Source Projects to pick the Top 10. We compared projects with new or major release during this period. Mybridge AI ranks projects based on a variety of factors to measure its quality for professionals. Average number of Github stars in this edition: 1,385⭐️“Watch” Machine Learning Top 10 Open Source on Github and get email once a month
10 Free Must-Read Books for Machine Learning and Data Science - KDNuggets
10 Free Must-Read Books for Machine Learning and Data Science Spring. Rejuvenation. Rebirth. Everything’s blooming. And, of course, people want free ebooks. With that in mind, here's a list of 10 free machine learning and data science titles to get your spring reading started right. What better way to enjoy this spring weather than with some free machine learning and data science ebooks? Right? Ri
KDD2017 | Machine learning meets fashion
Data, algorithms and analytics for the fashion industry 14 August 2017, Halifax, Nova Scotia - Canada Background Fashion is a multi-billion-dollar industry with social and economic implications worldwide. The fashion industry has traditionally placed high value on human creativity and has been slower to realize the potential of data analytics. With the advent of modern cognitive computing technolo
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
AIトレンド（短期~長期）を追うのに参考にしている人/リンク集｜bioshok
Schedule
GitHub - eugeneyan/applied-ml: 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
GitHub - mocobeta/building-search-system-book: 「仕事ではじめる検索システム」という本があったなら，という想像の産物です -> 「検索システム ― 実務者のための開発改善ガイドブック」になりました
Feature Store For ML
5 Essential AI Books
CSE 290D: Seminar on Integrative AI Engineering
Schedule
Summer Schools and Machine Learning. A beautiful love story!
free ai ml books
Papers with Code - Browse the State-of-the-Art in Machine Learning
Bandit Problems
CSE 291A: Advanced Data Analytics and ML Systems