Our great sponsors
-
handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
-
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Hands on ML by Aurélien Géron - A lot of people regard this as one of the best introductions to ML, and I won't disagree. There are very good Jupyter notebooks for all of the topics in the book. The only drawback to this book is that there's virtually no mention of AWS services - the author used to work for YouTube, so whenever he talks about cloud computing he references Google Cloud Platform services.
Jeremy Howard's YouTube Channel - Jeremy maintains the fastai library, which is an excellent package that will help anyone build complicated ML architectures in minimum time. His YouTube Channel has a number of free courses which do an amazing job of covering a variety of ML topics, and he also maintains a very active forum for people studying ML.
Related posts
- A comprehensive guide to running Llama 2 locally
- People tricking ChatGPT “like watching an Asimov novel come to life”
- Good practices for neural network training: identify, save, and document best models
- Zero-3 Offload: Scale DL models to trillion parameters without code changes
- D I Refuse To Use Pytorch Because Its A Facebook