Search result for Best machine learning course Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 5,883 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Fundamentals of Machine Learning for Healthcare
by Matthew LungrenTop Instructor , Serena YeungTop Instructor- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
This course will introduce the fundamental concepts and principles of machine learning as it applies to medicine and healthcare. We will explore machine learning approaches, medical use cases, metrics unique to healthcare, as well as best practices for designing, building, and evaluating machine learning applications in healthcare. Best practices, teams, and launching your machine learning journey...
Python and Machine Learning for Asset Management
by John Mulvey - Princeton University , Lionel Martellini, PhD- 3
-
![]()
![]()
![]()
![]()
![]()
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...
Optimizing Machine Learning Performance
by Anna Koop- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 12 hours to complete
This course synthesizes everything your have learned in the applied machine learning specialization. You will now walk through a complete machine learning project to prepare a machine learning maintenance roadmap. This is the final course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute (Amii)....
Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. Introduction to Supervised Machine Learning and Linear Regression Introduction to Supervised Machine Learning: Types of Machine Learning...
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. Introduction to Supervised Machine Learning and Linear Regression Introduction to Supervised Machine Learning: Types of Machine Learning...
Getting Started with AWS Machine Learning
by Blaine SundrudTop Instructor- 4.5
-
![]()
![]()
![]()
![]()
![]()
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....
Alibaba Cloud Native Solutions and Container Service
by Steve Xue- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
Course Description Cloud-Native: Best Practices for Container Technology Implementation DevOps Best Practice DevOps Best Practice with ACK and ACR Best Practice of DevOps Integration On The Cloud Machine Learning Build AI/Machine Learning on Kubernetes Unlock Cloud-Native AI Skills | Develop Your Machine Learning Workflow Machine Learning Quiz...
Related searches
Follow a Machine Learning Workflow
by Renée Cummings- 0.0
-
![]()
![]()
![]()
![]()
![]()
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....
Build, Train, and Deploy ML Pipelines using BERT
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.7
-
![]()
![]()
![]()
![]()
![]()
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...
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 34 hours to complete
This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. Key Concepts in Machine Learning...
