Notebooks for Pearson Video on Fundamentals of AI/ML.
You can watch the video at: Pragmatic AI and Machine Learning Core Principles (Pearson, 2019)-Stream
You can purchase the video at: Pragmatic AI and Machine Learning Core Principles (Pearson, 2019)-Purchase
This material is derived from lectures at UC Berkeley, UC Davis, Northwestern and University of San Francisco. Credit to professors who have inspired some of the topics or content including: Dan Gillick, Josh Blumenstock, Hemant Bhargava, Dickson Louie, Andrew Ng, Peter Norvig, Raymond Hettinger and Joseph Bogen.
His most recent books are:
- Pragmatic A.I.: An introduction to Cloud-Based Machine Learning (Pearson, 2018)
- Python for DevOps (O'Reilly, 2020).
His most recent video courses are:
- Essential Machine Learning and A.I. with Python and Jupyter Notebook LiveLessons (Pearson, 2018)
- AWS Certified Machine Learning-Specialty (ML-S) (Pearson, 2019)
- Python for Data Science Complete Video Course Video Training (Pearson, 2019)
- AWS Certified Big Data - Specialty Complete Video Course and Practice Test Video Training (Pearson, 2019)
- Building A.I. Applications on Google Cloud Platform (Pearson, 2019)
- Pragmatic AI and Machine Learning Core Principles (Pearson, 2019)
- Data Engineering with Python and AWS Lambda (Pearson, 2019)
His most recent online courses are: