This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods.

Applied Machine Learning Online Course · Module 1: Fundamentals of Programming · Module 2: Data Science: Exploratory Data Analysis and Data Visualization

Explore applied machine learning for practical applications. Learn to implement models using scikit-learn, TensorFlow, and real-world datasets.

The Applied Machine Learning course teaches you a wide-ranging set of techniques of supervised and unsupervised machine learning approaches using Python as the ...

Learn how to design, implement and evaluate machine learning systems. Develop practical skills with industrial input. Work alongside internationally-leading ...

Cornell CS 5787: Applied Machine Learning. Lecture 1. Part 1: Introduction to Machine Learning. Volodymyr Kuleshov.

Applied Machine Learning covers many topics for people who want to use machine learning processes to get things done, with a strong emphasis on using existing ...

The MS in Applied Machine Learning is a 30-credit graduate program designed for to accommodate working professionals and can be completed in less than two years ...

Course Overview. This course will introduce participants to machine learning, focusing more on the practical and applied aspects rather than theory.

This course provides both a theoretical and a practical foundation in machine learning. It covers a broad range of algorithms, and defines each algorithm using ...