New release! >> "Sutskever's List" Read about it: https://
github.com/dzyim/ilya-sut
skever-recommended-reading
… — Ilya Sutskever compiled this reading list of ~30 Deep Learning research papers and said, "If you really learn all of these, you’ll know 90% of what matters today." Then read it: https://
amzn.to/4vY651P
@kirkdborne
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Sutskever Reading List Collects About 30 Deep Learning Papers
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Unsupervised Learning Guide Covers Unlabelled Data and Data Cleaning
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Data Without Labels — Models and Algorithms for Practical Unsupervised Machine Learning: https://
amzn.to/4q5bbYz 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷: Fundamental building blocks and concepts of machine learning and unsupervised learning
Data cleaning for structured and -
A Guide Applies Clustering and Dimensionality Reduction to Unlabeled Data
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Kickstart Unsupervised Machine Learning — Master Unsupervised Machine Learning Through Pattern Discovery, Clustering, and Dimensionality Reduction to Build Intelligent Real-World Applications: https://
amzn.to/4bFFpvD -
Practical Unsupervised Learning Finds Patterns Without Labels
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Insights Discovery from Data Without Labels — Practical Unsupervised Machine Learning: https://
amzn.to/4g3ezz0 via @ManningBooks -
A Python Guide Builds Machine Learning Models From Unlabeled Data
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Hands-On Unsupervised Learning Using Python — How to Build Applied Machine Learning Solutions from Unlabeled Data: https://
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Machine Learning Textbook Includes 100 Python Coding Exercises
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Machine Learning Refined — Foundations, Algorithms, and Applications (with 100 in-depth coding exercises in Python): https://
amzn.to/3EblXVx
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A Guide Builds and Fine-Tunes Small Language Models
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"How to Build and Fine‐Tune a Small Language Model: A Step-by-Step Guide for Beginners, Researchers, and Non-Programmers" Available at https://
amzn.to/4aV0amA Build your own AI—without a PhD, expensive hardware, or industry-level resources. Whether you’re a beginner, a student, -
A DevOps Guide Builds Autonomous CI/CD and Operations Workflows
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New Release by @PacktPublishing @PacktDataML Agentic AI for DevOps Engineers — Build autonomous CI/CD, infrastructure, and operations workflows Get the expert insight at https://
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Deep Learning Textbook Offers 68 Python Coding Exercises
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Understanding Deep Learning — 541-page PDF eBook and 68 coding exercises with Python code notebooks that cover all the topics in the book: https://
udlbook.github.io/udlbook/ …or buy the book here: https://
amzn.to/4qwof9k -
Python Forecasting Guide Covers Global Machine Learning and Deep Learning Models
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Modern Time Series Forecasting with Python — Industry-ready Machine Learning and Deep Learning time series analysis with PyTorch and PANDAS: https://
amzn.to/4eP5yYt v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Apply ML and global models to improve forecasting accuracy through