Search result for Basic machine learning course Online Courses & Certifications
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Practical Machine Learning
by Jeff Leek, PhD , Roger D. Peng, PhD , Brian Caffo, PhD- 4.5
Approx. 9 hours to complete
This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. Welcome to Practical Machine Learning Describe machine learning methods such as regression or classification trees...
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
by 林軒田- 4.9
Approx. 10 hours to complete
Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. What is Machine Learning Applications of Machine Learning Components of Machine Learning...
AWS Computer Vision: Getting Started with GluonCV
by Thom LaneTop Instructor , Thomas DelteilTop Instructor , Soji AdeshinaTop Instructor- 4.6
Approx. 31 hours to complete
This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit. The course is comprised of video lectures, hands-on exercise guides, demonstrations, and quizzes. Module 2: Machine Learning on AWS AWS Machine Learning Stack Data in Machine Learning...
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)....
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
Approx. 66 hours to complete
They are also a foundational tool in formulating many machine learning problems. The course discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models. Review of Machine Learning Concepts from Prof. Andrew Ng's Machine Learning Class (Optional) Learning in Parametric Models...
Machine Learning
by Charles Isbell- 0.0
14 Weeks
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. By the end of this course, you should have a strong understanding of machine learning so that you can pursue any further and more advanced learning. To develop the basic skills necessary to pursue research in machine learning....
$99
Introduction to Embedded Machine Learning
by Shawn Hymel , Alexander Fred-Ojala- 4.8
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. This course will give you a broad overview of how machine learning works, how to train neural networks, and how to deploy those networks to microcontrollers, which is known as embedded machine learning or TinyML....
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Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
by Eric Siegel- 4.8
Approx. 17 hours to complete
This course will show you how machine learning works. And this course continues beyond machine learning standards to also cover cutting-edge, advanced methods, as well as preparing you to circumvent prevalent pitfalls that seldom receive the attention they deserve. This course includes illuminating software demos of machine learning in action using SAS products....
Project Planning and Machine Learning
by David Sluiter- 4.7
Approx. 17 hours to complete
* How machine learning algorithms work - a basic introduction Machine Learning Segment 4 - Machine Learning Schools of Thought Segment 6 - Categories of Machine Learning Segment 20 - Machine Learning in IIoT Segment 21 - Machine Learning Summary Segment 12 - Processing Your Data Prior to Machine Learning Segment 16 - Prognostic Health Management, Hadoop Machine Learning Library...
Machine Learning With Big Data
by Mai Nguyen , Ilkay Altintas- 4.6
Approx. 22 hours to complete
This course provides an overview of machine learning techniques to explore, analyze, and leverage data. Welcome to Machine Learning With Big Data Introduction to Machine Learning with Big Data Machine Learning Overview Categories Of Machine Learning Techniques Machine Learning Process Goals and Activities in the Machine Learning Process Machine Learning With Big Data - Final Remarks...