Online Machine Learning Courses
Machine learning is a form of AI which uses statistical tools and data to predict the next output. This makes it different from traditional coding, because the machine is able to use algorithms to improve outcomes without needing to be coded directly by a programmer each time. It’s an infinitely useful and powerful tool, used for optimization, fraud detection, consumer recommendations and more.
Professional Certificate in Google Cloud Computing Foundations
Get an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
Introduction to Machine Learning on AWS
Learn how to use AWS for computer vision, data extraction and analysis, language processing and more.
Deep Learning Nanodegree
Learn to leverage the capabilities of deep learning tools to fix complex problems and unlock next-level results for enterprises.
Machine Learning A-Z™: Hands-On Python & R In Data Science
Learn how to create machine learning algorithms in Python and R from two Data Science experts.
TensorFlow for Deep Learning with Python
Learn how to use Google’s Deep Learning Framework – TensorFlow with Python, and solve problems with cutting edge techniques.
Bayesian Machine Learning in Python: A/B Testing
Learn how to implement Bayesian machine learning in Python for A/B testing, which can be applied to almost any data science projects.
Deep Learning and AI with Python – Neural Nets, Machine Learning, Data Science
A basic introduction to neural networks and AI – how to design, build and run your own AI systems!
Data Science and Machine Learning with Python – Hands On!
If you’ve got some programming or scripting experience, this course will teach you the techniques used by real data scientists in the tech industry – and prepare you for a move into this hot career path.
Data Science: Machine Learning
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
High-Dimensional Data Analysis
A focus on several techniques that are widely used in the analysis of high-dimensional data.