Machine Learning Foundations

Advanced Logo Design

Solid machine learning foundations presented by a world leading expert. Full life cycle of machine learning development applied to enterprise-grade projects. It is based on the instructor’s book Intuitive Machine Learning. Includes Python coding, scientific computing, optimization algorithms, explainable AI and state-of-the-art methods favoring simplicity, scalability, reusability, replicability, fast implementation, and easy maintenance.

From data cleaning to model design, testing and feature selection, to great visualizations easy to “sell” to stakeholders and decision makers. We will cover topics across augmented data, generative and mixture models, big data, deep neural networks, image processing, machine learning in GPU, graph models, curve and shape fitting, taxonomy creation (NLP) and more. Numerous regression methods including logistic or Lasso are unified and presented under the same umbrella.

Learn from a world-class industry expert

Vincent Granville is a pioneering data scientist and machine learning expert, co-founder of Data Science Central (acquired by TechTarget in 2020), former VC-funded executive, author and patent owner. Vincent’s past corporate experience includes Visa, Wells Fargo, eBay, NBC, Microsoft, CNET, InfoSpace. Vincent is also a former post-doc at Cambridge University, and the National Institute of Statistical Sciences (NISS).

Vincent published in Journal of Number Theory, Journal of the Royal Statistical Society (Series B), and IEEE Transactions on Pattern Analysis and Machine Intelligence. He is also the author of multiple books, available here. He lives in Washington state, and enjoys doing research on stochastic processes, dynamical systems, experimental math and probabilistic number theory.

700  $ 1,000 
Level - Learnify X Webflow Template
Level : 
Beginner/Intermediate
Duration - Learnify X Webflow Template
Date : 
Starting on Jan 16
Lessons - Learnify X Webflow Template
Live Sessions : 
5 live courses with weekly office hours
Access - Learnify X Webflow Template
Lifetime Access
Course teacher
Vincent Granville

Prerequisites:

Familiarity with basic linear algebra and calculus principles such as elementary matrix operations.

This course is for:

Software engineers, Data analysts, data scientists.

What you will be able to do after this course:

Be able to complete machine learning projects from beginning to end and ranging from NLP, clustering, regression to computer vision.

Additional information about the course

Frequently asked questions