Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
The fastai book, published as Jupyter Notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Jupyter notebooks from the scikit-learn video series
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Machine Learning Toolkit for Kubernetes
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
Repository containing notebooks of my posts on Medium
The fast.ai course notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.