TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
- fp-growth
- apriori
- mahchine-leaning
- naivebayes
Repository Index
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TranslatedGuidance for courses in Department of Computer Science and Technology, Tsinghua University
- course
- course-project
- course-assignment
- tsinghua-university
10 Weeks, 20 Lessons, Data Science for All!
500 AI Machine learning Deep learning Computer vision NLP Projects with code
- awesome
- machine-learning
- deep-learning
- machine-learning-projects
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
- cpp
- algorithm
- algorithms-implemented
- data-structures
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
- machine-learning
- deep-learning
- deep-reinforcement-learning
- machine-learning-from-scratch
Roadmap to becoming an Artificial Intelligence Expert in 2022
- deep-learning
- artificial-intelligence
- roadmap
- ai-roadmap
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
- applied-machine-learning
- production
- applied-data-science
- machine-learning
:memo: An awesome Data Science repository to learn and apply for real world problems.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
If you want to become good at AI engineering & system design, join this newsletter 👇
- computer-science
- interview-questions
- software-engineering
- system-design
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.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
- bayesian-methods
- pymc
- mathematical-analysis
- jupyter-notebook
🧠 Laws, Theories, Principles and Patterns for developers and technologists.
- principles
- laws
- coding
- computerscience
The Open Source Data Science Masters
280+ free n8n automation templates — ready-to-use workflows for Gmail, Telegram, Slack, Discord, WhatsApp, Google Drive, Notion, OpenAI, and more. AI agents, RAG chatbots, email automation, social media, DevOps, and document processing. The largest open-source n8n template collection.
- automation
- integration
- n8n
- n8n-automation
TranslatedList of personally collected books PDF download Baidu Cloud e-book download
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
The fastai book, published as Jupyter Notebooks
- notebooks
- fastai
- deep-learning
- machine-learning
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
- python
- machine-learning
- data-science
- nlp
Video discussing this curriculum:
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
- algorithms
- data-structures
- datastructures
- c
📊 Path to a free self-taught education in Data Science!
Best Practices on Recommendation Systems
- machine-learning
- recommender
- ranking
- deep-learning