machine learning

Overview The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for...

Overview Bayesian methods are used in lots of fields: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. Bayesian methods also allow us to estimate uncertainty in...

Overview Welcome to the Reinforcement Learning course. Here you will find out about: - foundations of RL methods: value/policy iteration, q-learning, policy gradient, etc. --- with math & batteries included - using deep neural networks for RL tasks --- also known as "the hype train" - state...

Overview This course covers a wide range of tasks in Natural Language Processing from basic to advanced: sentiment analysis, summarization, dialogue state tracking, to name a few. Upon completing, you will be able to recognize NLP tasks in your day-to-day work, propose approaches, and judge what...

Overview This course is part of the Microsoft Professional Program Certificate in Data Science and Microsoft Professional Program in Artificial Intelligence. Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes...

Overview Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), advertisers, and financial institutions employ machine learning algorithms for...

Overview Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. This area is also concerned with issues both theoretical and practical. In this course, we will present algorithms and approaches in such a...

Overview Machine learning is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. This course will teach you, an application developer, how to use Amazon SageMaker to simplify the integration of Machine Learning into your applications. Key...

Overview Machine Learning is a growing field that is used when searching the web, placing ads, credit scoring, stock trading and for many other applications. This data science course is an introduction to machine learning and algorithms. You will develop a basic understanding of the principles...

Overview This Machine Learning with Python course dives into the basics of Machine Learning using Python, an approachable and well-known programming language. You'll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a...

Overview This course is part of the Microsoft Professional Program Certificate in Data Science. Want to study machine learning or artificial intelligence, but worried that your math skills may not be up to it? Do words like “algebra’ and “calculus” fill you with dread? Has it been so long since...

Overview This course is part of the Microsoft Professional Program Certificate in Data Science and Microsoft Professional Program in Artificial Intelligence. Want to study machine learning or artificial intelligence, but worried that your math skills may not be up to it? Do words like “algebra’...

Overview This course is part of the Microsoft Professional Program Certificate in Big Data and Microsoft Professional Program Certificate in Data Science. The past can often be the key to predicting the future. Big data from historical sources is a valuable resource for identifying trends and...

Overview This course is part of the Microsoft Professional Program Certificate in Data Science and Microsoft Professional Program in Artificial Intelligence. Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes...

Overview This course is part of the Microsoft Professional Program Certificate in Data Science. Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends. In this data science course, you will be given...

Overview Perhaps the most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer guided decision processes is that it builds prediction algorithms using data. Some of the most popular products that use machine learning include the...

Overview Do you want to build systems that learn from experience? Or exploit data to create simple predictive models of the world? In this course, part of the Data Science MicroMasters program, you will learn a variety of supervised and unsupervised learning algorithms, and the theory behind...

Overview Machine Learning is the basis for the most exciting careers in data analysis today. You’ll learn the models and methods and apply them to real world situations ranging from identifying trending news topics, to building recommendation engines, ranking sports teams and plotting the path...

Overview Discover and apply advanced statistical machine learning techniques This online course explores advanced statistical machine learning. You will discover where machine learning techniques are used in the data science project workflow. You will then look in detail at supervised learning...

#1 MOOC platform Coursera has shared with us their most popular MOOC Specilaization programs this month. • 7-day Free Trial • Get 10% Off - when paying in advance for a specialization • Expires Oct 31! Extended Free Trial on all Google Specializations Wharton's Business Foundations...