Madhu Kurup, Vice President, Indeed.com ‘A Hands-On Introduction to Machine Learning by Chirag Shah is a very good data science textbook, starting from the basics, that covers many subjects not ...

This week, we will build our supervised machine learning foundation. Data cleaning and Exploratory Data Analysis (EDA) might not seem glamorous, but the process is vital for guiding your real-world ...

This course covers modern machine learning theory and techniques that can be applied to make informed data-driven decisions. Instead of manually analyzing data, machine learning offers a more ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

These online resources offer additional content for instructors and/or students that support enhanced teaching and learning outcomes and can be accessed online or downloaded for offline reading.

Google's updated machine learning crash courses include new modules on LLMs and AI, aiding understanding of how search ...

This course aims to provide an introduction to the quantitative analysis of data, blending classical statistical methods with recent advances in computational and machine learning. You will cover key ...

Stat 304 is *not* a substitute for Comp_Sci 214. Machine Learning is the study of algorithms that improve automatically through experience. Topics covered typically include Bayesian Learning, Decision ...

During the second part of the course, you’ll gain an in-depth understanding of a variety of machine learning techniques that you can apply when analysing big data including regression, variable ...

Gautham Ram Rajediran and his work in optimizing machine learning operations provides a blueprint for how businesses can ...