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May 17, 2023

AI Superstream: Designing Machine Learning Systems

Presented by Shingai Manjengwa

Ingest, label, and apply data correctly to ML problems The engineering domain is one of the fastest growing areas in the field of machine learning. Machine learning powers advanced and seamless ...

April 13, 20 & 27, 2023

Machine Learning Interviews in 3 Weeks

Presented by Susan Chang

Prepare for coding assessments, machine learning theory, behavioral questions, and more Learn the skill sets required for each type of machine learning role and evaluate your strengths and weaknesses Understand the ...

April 11, 2023

Explainable Machine Learning Models—with Interactivity

Presented by Parul Pandey

Making sense of opaque and complex models using Python Machine Learning is a powerful tool and is being increasingly used in multi-faceted ways across several industries. These AI models are being ...

May 2, 9, 16, 23, 30 & June 6, 2023

Machine Learning Algorithms for Trading Bootcamp

Presented by Deepak Kanungo

Train machine learning algorithms to discover trading signals in 6 weeks In this course you’ll: Gain access to free financial data and deployment​​ of ML algorithms that discover, transform, and visualize ...

May 5, 12 & 19, 2023

Scaling Machine Learning in Three Weeks

Presented by Adi Polak

Scale machine learning with Spark MLlib Course outcomes Understand PySpark Get hands-on experience with building scalable machine learning workflow with PySpark and MLflow Course description Join expert Adi Polak to go ...

May 18, 2023

First Steps in Machine Learning: Misfit Models and Fixes

Presented by Mark Fenner

Learn how to implement supervised learning systems that make predictions Diagnose prediction failures Remedy prediction failures In this class, we discuss the basic patterns of developing and evaluating supervised learning systems ...