Search result for Stanford machine learning course Online Courses & Certifications
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Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
This course concentrates on recognizing and solving convex optimization problems that arise in applications. The syllabus includes: convex sets, functions, and optimization problems; basics of convex analysis; least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems; optimality conditions, duality theory, theorems of alternative, and applications; interior-point methods; applications to signal processing, statistics and machine learn...
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
This course concentrates on recognizing and solving convex optimization problems that arise in applications. This course concentrates on recognizing and solving convex optimization problems that arise in applications. Candidate in Computer Science at Stanford University. He has previously taught Convex Optimization (EE 364A) at Stanford University and holds a B. in Computer Science from Stanford University....
Fundamentals of Machine Learning for Healthcare
by Matthew LungrenTop Instructor , Serena YeungTop Instructor- 4.8
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Approx. 12 hours to complete
Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. This course will introduce the fundamental concepts and principles of machine learning as it applies to medicine and healthcare. Learn important approaches for leveraging data to train, validate, and test machine learning models....
Getting Started with AWS Machine Learning
by Blaine SundrudTop Instructor- 4.5
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Approx. 9 hours to complete
Machine learning (ML) 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 how to get started with AWS Machine Learning. Machine Learning Algorithms Explained Machine Learning Pipeline The Machine Learning Process Key problems that Machine Learning can address and ultimately help solve....
Build, Train, and Deploy ML Pipelines using BERT
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.7
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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...
Microsoft Azure Machine Learning
by Microsoft- 4.8
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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....
Python and Machine Learning for Asset Management
by John Mulvey - Princeton University , Lionel Martellini, PhD- 3
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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...
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A Crash Course in Data Science
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
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Approx. 7 hours to complete
In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. How statistics, machine learning, and software engineering play a role in data science Machine learning further reading Machine learning Machine learning Understand how Statistics and Machine Learning affect Data Science...
Follow a Machine Learning Workflow
by Renée Cummings- 0.0
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Approx. 20 hours to complete
This second course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate explores each step along the machine learning workflow, from problem formulation all the way to model presentation and deployment. Ultimately, this course provides a practical framework upon which you'll build many more machine learning models in the remaining courses....
Solve Business Problems with AI and Machine Learning
by Renée Cummings- 0.0
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Approx. 11 hours to complete
Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. Solve Business Problems with AI and Machine Learning Course Introduction Machine Learning Model Machine Learning Workflow Differences Between Traditional Programming and Machine Learning Machine Learning Outcomes Guidelines for Following the Machine Learning Workflow...
