An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. -- Part of the MITx MicroMasters program in Statistics and Data Science. (more…)
Read more »
This glossary defines general machine learning terms as well as
terms specific to TensorFlow. (more…)
Read more »
Machine learning research has advanced in multiple aspects, including model
structures and learning methods. The effort to automate such research, known as
AutoML, has also made significant progress. However, this progress has largely
focused on the archi... (more…)
Read more »
This is a guide to file formats for machine learning in Python. The Feature Store can training/test data in a file format of choice on a file system of choice. (more…)
Read more »
Now is better than ever before to start studying machine learning and artificial intelligence. The field has evolved rapidly and grown tremendously in recent years. Experts have released and polish… (more…)
Read more »