This module introduces basic machine learning concepts, tasks, and workflow using an example classification problem based on the K-nearest neighbors method, and implemented using the scikit …

Explore the processes used to develop real-world systems that involve signals, sensors and hardware, such as robots or mobile phones. Through lectures, tutorials and labs, you'll delve into the theory, …

We will briefly study the underlying principles of diverse machine learning approaches such as anomaly detection, ensemble learning, deep learning with a neural network, etc.

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

The lecture also discusses three approaches to machine learning, namely supervised learning, unsupervised learning, and reinforcement learning, and provides an overview of the topics covered in …

Through a variety of lecture examples and programming projects, students will learn how to apply powerful machine learning techniques to new problems, run evaluations and interpret results, and …

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 Category: AI & Machine Learning Curriculum Free Videos Overview Instructor Module 1: Fundamentals of Programming Chapters : 10 Assignments : 3 …

May 22, 2024 · In this course, instructor Matt Harrison shows you how to get started mastering the essentials of machine learning using the power of the Python programming language.

Your guide to getting started and getting good at applied machine learning with Machine Learning Mastery.