Pluralsight Machine Learning Courses List

Learn the basics of RapidMiner: Getting Started View all

This course provides an introduction to machine learning using Python, the scikit-learn library, and the Jupyter Notebook environment. Participants will learn how to create a machine learning prediction solution. View all

This course provides data professionals, developers, and IT pros with the skills to collaborate on data science projects and develop high-quality machine learning models in Microsoft Azure. Participants will learn to create ML pipelines in Azure, enabling them to iteratively build repeatable models. View all

This course provides an introduction to designing and implementing solutions using Google Machine Learning APIs, enabling organizations to leverage the power of ML to improve their products without the need for in-house expertise. View all

Amazon SageMaker provides the tools and resources needed to build, train, and deploy machine learning models, enabling developers to create REST APIs to integrate them into applications and solve real-world problems. View all

This course provides business professionals with an introduction to machine learning, exploring its potential applications and benefits for enterprises. Learn how to leverage machine learning to gain a competitive edge without the technical jargon. View all

This course provides an overview of data engineering with AWS Machine Learning, covering topics such as selecting the right AWS data repositories, ingestion services, and transformation services. Learn how to make cost-effective, best-practice decisions for your data engineering projects. View all

This course provides an overview of the fundamentals of machine learning, including types of algorithms, problem-solving techniques, and the classic machine learning workflow. Participants will gain an understanding of the essential components of machine learning models. View all

This course provides an overview of the challenges associated with deploying machine learning solutions, and explores various implementation strategies such as using Python Flask, serverless compute options, and platform-specific frameworks. View all

Linear regression is a powerful statistical technique used to identify relationships between variables and make predictions. It is widely used in business and data analysis to gain insights and make informed decisions. View all

This course provides an introduction to using Microsoft Machine Learning Server to create and scale machine learning experiments. Through detailed code examples in both R and Python, learners will gain an understanding of how to work with Apache Spark and SQL Server. View all

This course provides an introduction to the fundamentals of building classification models with scikit-learn. It covers topics such as supervised learning, decision trees, logistic regression, and support vector machines. View all

This course provides an in-depth exploration of the components and best practices for successful machine learning systems in production environments. Learn how to build and maintain high-performing ML systems. View all

This course provides an introduction to Machine Learning using the popular programming language R. Participants will gain an understanding of the fundamentals of Machine Learning and how to apply them using R. View all

This article explores the history of machine learning and examines why neural networks are so successful in solving a wide range of problems. It provides an introduction to the field of machine learning and its current applications. View all

This course provides the essential theory and practice to gain confidence in machine learning by building a hands-on solution. Participants will learn how to create their first machine learning solution. View all

This course provides an introduction to advanced machine learning topics, as well as the practical application of these concepts using the ENCOG machine learning framework. Participants will gain a comprehensive understanding of the fundamentals of machine learning. View all

Gain a deeper understanding of machine learning with ENCOG and explore advanced topics to create more accurate neural network predictive models. View all

This course provides an introduction to using scikit-learn for machine learning. It covers the fundamentals of the library, from why it is used to how to build a solution. View all

This course provides an introduction to the use cases of built-in algorithms provided by AWS Machine Learning, enabling participants to develop and deploy machine learning models. View all

Google leverages machine learning to solve complex problems, viewing it as a tool for logic rather than just data. By utilizing this approach, Google is able to tackle difficult tasks and create innovative solutions. View all

This video provides a concise overview of the fundamentals of machine learning, making it an ideal resource for those looking to gain a better understanding of the topic. View all

This course provides an overview of the various canonical problems in machine learning and the considerations for selecting the appropriate solution techniques. Participants will gain an understanding of the design process for creating a successful machine learning model. View all

Azure Machine Learning provides the tools to create, deploy, and maintain predictive solutions. This guide will help you get started with the basics of using Azure Machine Learning. View all

This course provides an introduction to developing AI models with Microsoft Azure Machine Learning Service, covering topics such as training and deploying custom models. View all

This course provides an introduction to exploratory data analysis and AWS Machine Learning services, equipping learners with the skills to effectively analyze data and utilize cloud-based services. View all

Learn the basics of Play by Play: Machine Learning Exposed View all

This course provides an overview of the fundamentals of machine learning, including the differences between various canonical problems and how to design a model to solve them. Students will gain an understanding of the principles and techniques used to create successful machine learning models. View all

This course provides an introduction to the fundamentals of machine learning on AWS, enabling learners to gain the skills necessary to solve business problems using AWS machine learning technologies. View all

This course covers important techniques in data preparation, data cleaning and feature selection that are needed to set your machine learning model up for success. View all

This training will provide programmers with the knowledge and skills to create their own computer vision program from the ground up, demystifying the process of machine learning. View all