237 Part-time Short courses in Machine Learning

In this Machine Learning with Tree-Based Models in R course offered by Data Camp you will learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

In this Ensemble Methods in Python course offered by Data Camp you will learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

In this Cluster Analysis in Python course offered by Data Camp you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Participants in this ChatGPT and the Large Language Model Revolution course at the University of Waterloo come away with a roadmap that can help them determine where, when, and how LLMs can be applied to their organizations in a responsible manner.

Level-up your programming skills with MLOps. This Machine Learning Operations course course is offered by Coursera in partnership with Duke University. 

Unlock and leverage the potential of generative AI. Learn how you can use the capabilities of generative AI to enhance your work and daily life. This Generative AI Fundamentals course is offered by Coursera in partnership with IBM .

Use Machine Learning in the Supply Chain. You will learn to use machine language techniques to analyze and predict retail stock in the supply chain. This Machine Learning for Supply Chains course is offered by Coursera in partnership with LearnQuest.

The Introduction to Large Language Models with Google Cloud course from Udacity covers Google tools to help you develop your own Gen AI apps

The Core ML - Machine Learning for iOS course from Udacity is based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

This Deep Learning Specialization offered by Coursera in partnership with Deeplearning is a foundational programme that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. 

In the Neural Networks and Deep Learning course offered by Coursera in partnership with Deeplearning, you will study the foundational concept of neural networks and deep learning. 

EdX is an online learning platform trusted by over 12 million users offering the Data Science - Machine Learning Certificate in collaboration with Harvard University - HarvardX. Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

This Machine Learning - Classification course offered by Coursera in partnership with University of Washington is part of the Machine Learning Specialization.

This AI for Medicine Specialization offered by Coursera in partnership with Deeplearning will give you practical experience in applying machine learning to concrete problems in medicine.

Master recommender systems with this Recommender Systems Specialization offered by Coursera in partnership with University of Minnesota. Learn to design, build, and evaluate recommender systems for commerce and content.

This Natural Language Processing in TensorFlow course offered by Coursera in partnership with Deeplearning will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

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

This Machine Learning - Clustering and Retrieval course offered by Coursera in partnership with University of Washington is part of the Machine Learning Specialization

In this Text Mining with Bag-of-Words in R course offered by Data Camp you will learn the bag of words technique for text mining with R.

The main goal of this Machine Learning and Reinforcement Learning in Finance Specialization is offered by Coursera in partnership with New York University is to provide the knowledge and practical skills necessary to develop a strong foundation on core paradigms and algorithms of machine learning (ML), with a particular focus on applications of ML to various practical problems in Finance.