firmai / industry-machine-learningLinks
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
☆7,403Updated last year
Alternatives and similar repositories for industry-machine-learning
Users that are interested in industry-machine-learning are comparing it to the libraries listed below
Sorting:
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dm…☆9,607Updated 2 years ago
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,527Updated 4 months ago
- Data science interview questions and answers☆9,554Updated 3 weeks ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆43,736Updated last year
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆19,480Updated last week
- Curated list of Python resources for data science.☆4,512Updated last week
- A Code-First Introduction to NLP course☆3,470Updated 2 years ago
- 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained☆23,737Updated 11 months ago
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆28,825Updated 2 years ago
- Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.☆3,628Updated 5 years ago
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,702Updated last year
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,766Updated 5 years ago
- Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository☆987Updated last year
- Natural Language Processing Best Practices & Examples☆6,436Updated 3 years ago
- A curated list of references for MLOps☆13,382Updated 11 months ago
- A curated list of data science blogs☆6,376Updated last year
- A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employ…☆803Updated last year
- An awesome Data Science repository to learn and apply for real world problems.☆27,582Updated this week
- Answers to 120 commonly asked data science interview questions.☆3,819Updated last year
- In this repository, I will share some useful notes and references about deploying deep learning-based models in production.☆4,375Updated 11 months ago
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,782Updated 5 years ago
- A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood☆1,436Updated 7 years ago
- Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.☆11,516Updated 2 years ago
- VIP cheatsheets for Stanford's CS 221 Artificial Intelligence☆2,826Updated 5 years ago
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,598Updated last year
- Open Machine Learning Course☆10,258Updated last month
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,632Updated last year
- A collection of research papers on decision, classification and regression trees with implementations.☆2,427Updated last year
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆18,650Updated 5 years ago
- Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources o…☆1,596Updated this week