Search result for Mathematics in machine learning Online Courses & Certifications
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Machine Learning A-Z: Become Kaggle Master
by Geekshub Pvt Ltd- 3.7
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36.5 hours on-demand video
Master Machine Learning Algorithms Using Python From Beginner to Super Advance Level including Mathematical Insights. This course has been designed by IIT professionals who have mastered in Mathematics and Data Science. Master Machine Learning on Python Learn All the Mathmatics Required to understand Machine Learning Algorithms Learn All Statistical concepts To Make You Ninza in Machine Learning...
$19.99
Introduction to Mathematical Thinking
by Dr. Keith DevlinTop Instructor- 4.8
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Approx. 39 hours to complete
Mathematical thinking is not the same as doing mathematics – at least not as mathematics is typically presented in our school system. School math typically focuses on learning procedures to solve highly stereotyped problems. Professional mathematicians think a certain way to solve real problems, problems that can arise from the everyday world, or from science, or from within mathematics itself....
Application of AI, InsurTech, and Real Estate Technology
by Christopher Geczy- 4.6
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Approx. 4 hours to complete
In this course, you’ll learn about the emerging technologies in Artificial Intelligence and Machine Learning that are utilized in InsurTech and Real Estate Tech. Through study and analysis of Artificial Intelligence and Machine Learning, you’ll learn how InsurTech is redefining the insurance industry. Emerging Technologies: AI & Machine Learning Machine Learning...
Feature Engineering
by Google Cloud Training- 4.5
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Approx. 18 hours to complete
Welcome to Feature Engineering where we will discuss good vs bad features and how you can preprocess and transform them for optimal use in your models. Lab Intro: Basic Feature Engineering in BQML Lab Intro: Basic Feature Engineering in Keras Lab Intro: MapReduce in Dataflow Lab Solution: MapReduce in Dataflow Lab Intro: Computing Time-Windowed Features in Cloud Data...
Machine Learning & Training Neural Network in MATLAB
by Sarthak Mishra- 3
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1.5 hours on-demand video
Machine Learning | Learn concepts of Machine Learning and how to train a Neural Network in MATLAB on Iris data-set. Machine Learning is the most evolving branch of Artificial Intelligence. You will also learn to train a Neural Network in MATLAB on Iris data-set available on UCI Machine Learning repository....
$12.99
Predictive Analytics using Machine Learning
by Dr Johannes De Smedt , Sofia Varypati , Obinna Unigwe- 0.0
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6 Weeks
Learn how to build predictive models using machine learning. In this course, you will: Understand the difference between machine learning and other statistical models Implement the theoretic models in machine learning-based software packages in Python Apply machine learning models to business situations...
$300
Learning From Data (Introductory Machine Learning)
by Yaser S. Abu-Mostafa- 0.0
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10 Weeks
Introductory Machine Learning course covering theory, algorithms and applications. This introductory computer science course in machine learning will cover basic theory, algorithms, and applications. Machine learning is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. Elaborate on the connections between theory and practice in Machine Learning...
$49
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Natural Language Processing with Python: 3-in-1
by Packt Publishing- 3.5
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4.5 hours on-demand video
Build solutions to get up and speed with new trends in NLP. 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
機器學習技法 (Machine Learning Techniques)
by 林軒田- 0.0
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Approx. 19 hours to complete
The course extends the fundamental tools in "Machine Learning Foundations" to powerful and practical models by three directions, which includes embedding numerous features, combining predictive features, and distilling hidden features. 第一講：Linear Support Vector Machine 第二講：Dual Support Vector Machine 第三講：Kernel Support Vector Machine 第四講：Soft-Margin Support Vector Machine Adaptive Boosting in Action Machine Learning in Practice...
Build Better Generative Adversarial Networks (GANs)
by Sharon Zhou , Eda Zhou , Eric Zelikman- 4.7
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Approx. 29 hours to complete
In this course, you will: This Specialization provides an accessible pathway for all levels of learners looking to break into the GANs space or apply GANs to their own projects, even without prior familiarity with advanced math and machine learning research. Intro to Machine Bias A Survey on Bias and Fairness in Machine Learning...
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