237 Part-time Short courses in Machine Learning

The Safety-Guaranteed Planning and Control for Autonomous Underwater Robots (Internship) project from King Abdullah University of Science and Technology (KAUST) explore learning-based planning/control approaches that combine optimization-based design and data-driven machine learning methods. 

In this Mathematics for Machine Learning - Linear Algebra course offered by Coursera in partnership with Imperial College London, they look at what linear algebra is and how it relates to vectors and matrices.  

In this hands-on, four-course DeepLearning.AI TensorFlow Developer Professional Certificate offered by Coursera in partnership with Deeplearning, you’ll learn the necessary tools to build scalable AI-powered applications with TensorFlow. 

The Applied Plotting, Charting and Data Representation in Python course offered by Coursera in partnership with University of Michigan is part of the Applied Data Science with Python Specialization.

This Mathematics for Machine Learning - Multivariate Calculus course offered by Coursera in partnership with Imperial College London offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. 

In this Java Programming - Build a Recommendation System course offered by Coursera in partnership with Duke University, you will show off your problem solving and Java programming skills by creating recommender systems. 

The Code Free Data Science course offered by Coursera in partnership UC San Diego is designed for learners seeking to gain or expand their knowledge in the area of Data Science.

During this Artificial Intelligence on Microsoft Azure - Machine Learning and Python Basics Microcredential from CloudSwyft Global Systems by FutureLearn you will develop AI and machine learning skills using Python and Microsoft Azure, on the path to role-based certifications.

EdX is an online learning platform trusted by over 12 million users offering the Applied Deep Learning Capstone Project Certificate in collaboration with IBMx. In this capstone project, you'll use either Keras or PyTorch to develop, train, and test a Deep Learning model. Load and preprocess data for a real problem, build the model and then validate it.

In this The Data Scientist's Toolbox course offered by Coursera in partnership with Johns Hopkins University, you will get an introduction to the main tools and ideas in the data scientist's toolbox. 

This Deploying Machine Learning Models course offered by Coursera in partnership with UC San Diego is part of the Python Data Products for Predictive Analytics Specialization. 

In this Modeling with tidymodels in R course offered by Data Camp you will learn to streamline your machine learning workflows with tidymodels.

The 5 courses in this Applied Data Science with Python Specialization offered by Coursera in partnership with University of Michigan introduce learners to data science through the python programming language.

In this Linear Classifiers in Python course offered by Data Camp you will learn the details of linear classifiers like logistic regression and SVM.

In this Extreme Gradient Boosting with XGBoost course offered by Data Camp you will learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

This Convolutional Neural Networks in TensorFlow course offered by Coursera in partnership with Deeplearning is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

In this Designing Machine Learning Workflows in Python course offered by Data Camp you will learn to build pipelines that stand the test of time.

The Applied Social Network Analysis in Python course offered by Coursera in partnership with University of Michigan is part of the Applied Data Science with Python Specialization.

In this Fraud Detection in R course offered by Data Camp you will learn  to detect fraud with analytics in R by detecting anomalies in the type of payment methods used.

In this Hyperparameter Tuning in Python course offered by Data Camp you will learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search