Search result for Stanford machine learning course Online Courses & Certifications
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The Machine Learning Certification Course
by Marufa Yasmin- 3.1
38 mins on-demand video
Learn and understand Machine Learning using this course. Introductory Machine Learning course covering theory & algorithms. This is an introductory course in machine learning (ML) that covers the basic theory and algorithms . This course balances theory and practice, and covers the mathematical as well as the heuristic aspects....
$12.99
Practical Machine Learning
by Jeff Leek, PhD , Roger D. Peng, PhD , Brian Caffo, PhD- 4.5
Approx. 9 hours to complete
One of the most common tasks performed by data scientists and data analysts are prediction and machine learning. 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...
COVID-19 Training for Healthcare Workers
by Matthew Strehlow , S.V. Mahadevan- 0.0
2 Weeks
This rapid-fire, self-paced course focuses on the critical information required to care for patients during the COVID-19 pandemic. Learning modules are broken into short (<10 minute) videos presented in straightforward language. The Stanford University School of Medicine designates this enduring material for a maximum of 5 AMA PRA Category 1 Credits ™....
$10
Addressing Large Hadron Collider Challenges by Machine Learning
by Andrei Ustyuzhanin , Mikhail Hushchyn- 4.5
Approx. 24 hours to complete
Of course we will scrutinize the major stages of the data processing pipelines, and focus on the role of the Machine Learning techniques for such tasks as track pattern recognition, particle identification, online real-time processing (triggers) and search for very rare decays. Machine learning in particle identification Search for Dark Matter Hints with Machine Learning at new CERN experiment...
Data Science in Real Life
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.4
Approx. 7 hours to complete
This is a focused course designed to rapidly get you up to speed on doing data science in real life. After completing this course you will know how to: The course will be taught at a conceptual level for active managers of data scientists and statisticians. Contrasting machine learning versus classical statistical inference Machine Learning vs. Machine Learning vs....
Master Machine Learning , Deep Learning with Python
by Vishal Kumar Singh- 4
5 hours on-demand video
Complete course covering fundamentals of Machine learning , Deep learning with Python code The same holds for machine learning concepts. #Secret 3 - The key skill to master machine learning is fine tuning. Enrol in the machine learning course and see for yourself that mastering machine learning can be simplified. Following are topics the course covers....
$12.99
Data for Machine Learning
by Anna Koop- 4.4
Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. This is the third course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute. Machine Learning Process Lifecycle Review Preparing your Data for Machine Learning Success...
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Natural Language Processing with Python: 3-in-1
by Packt Publishing- 3.5
4.5 hours on-demand video
Pratap Dangeti develops machine learning and deep learning solutions for structured, image, and text data at TCS, in its research and innovation lab in Bangalore. He is also the author of the book Statistics for Machine Learning by Packt....
$12.99
Machine Learning
by Andrew NgTop Instructor- 4.9
Approx. 61 hours to complete
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI)....
Musculoskeletal Primer for the Non-Orthopedist
by Richard Wittman , Sakti Srivastava- 0.0
1 Weeks
The Stanford University School of Medicine designates this enduring material for a maximum of 2. If you would like to earn CME credit from Stanford University School of Medicine for participating in this course, please review the information here prior to beginning the activity....