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Machine Learning for Allby Dr Marco Gillies
Approx. 22 hours to complete
Whoever you are, we are looking forward to guiding you through you first machine learning project. NB this course is designed to introduce you to Machine Learning without needing any programming. That means that we don't cover the programming based machine learning tools like python and TensorFlow. Machine learning Machine learning...
Fundamentals of Machine Learning for Healthcareby Matthew LungrenTop Instructor , Serena YeungTop Instructor
Approx. 12 hours to complete
Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and principles. Learn important approaches for leveraging data to train, validate, and test machine learning models....
Guided Tour of Machine Learning in Financeby Igor Halperin
Approx. 24 hours to complete
Supervised Machine Learning methods are used in the capstone project to predict bank closures. Machine Learning as a Foundation of Artificial Intelligence, Part I Machine Learning as a Foundation of Artificial Intelligence, Part II Machine Learning as a Foundation of Artificial Intelligence, Part III Machine Learning in Finance vs Machine Learning in Tech, Part I...
Python and Machine Learning for Asset Managementby John Mulvey - Princeton University , Lionel Martellini, PhD
Approx. 17 hours to complete
Then, we will see how this new insight from Machine learning can complete and improve the relevance of the analysis. Machine Learning for Investment Decisions: A Brief Guided Tour Machine learning techniques for robust estimation of factor models Machine learning techniques for efficient portfolio diversification Machine learning techniques for regime analysis...
Microsoft Azure Machine Learningby Microsoft
Approx. 11 hours to complete
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence....
Build, Train, and Deploy ML Pipelines using BERTby Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly
Approx. 10 hours to complete
In the second course of the Practical Data Science Specialization, you will learn to automate a natural language processing task by building an end-to-end machine learning pipeline using Hugging Face’s highly-optimized implementation of the state-of-the-art BERT algorithm with Amazon SageMaker Pipelines. Week 2: Train, Debug, and Profile a Machine Learning Model...
Machine Learning Engineer for Microsoft Azureby Noah Gift , Alfredo Deza , Erick Galinkin , Soham Chatterjee
To stay in-demand at companies on the cutting edge of technology, engineers should prioritize developing their machine learning skill set. Strengthen your machine learning skills and build practical experience by training, validating, and evaluating models using Azure Machine Learning....
Introduction to Applied Machine Learningby Anna Koop
Approx. 7 hours to complete
This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. The Machine Learning Process...
Artificial Intelligenceby Thad Starner
Approx. 4 months
This course gives a survey of topics in AI along with in-depth foundational concepts such as classical search, probability, machine learning, logic and planning. lesson 1 Search Game Playing Basics of Search Logic and Planning lesson 2 Constraints and Bayes Nets Constraint Satisfaction Probability Bayes Nets lesson 3 Basics of Machine Learning Simulated Annealing Machine Learning Pattern Recognition through Time...
Introduction to Embedded Machine Learningby Shawn Hymel , Alexander Fred-Ojala
Approx. 17 hours to complete
Machine learning (ML) allows us to teach computers to make predictions and decisions based on data and learn from experiences. In recent years, incredible optimizations have been made to machine learning algorithms, software frameworks, and embedded hardware. Limitations and Ethics of Machine Learning Machine Learning on Embedded Devices Machine Learning Specific Hardware...