Search result for Mathematics in machine learning Online Courses & Certifications
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Precalculus: Periodic Functions
by Joseph W. Cutrone, PhDTop Instructor- 4.7
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Approx. 9 hours to complete
This course helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This course is designed for all students, not just those interested in further mathematics courses. Real-life data, exercise sets, and regular assessments help to motivate and reinforce the content in this course, leading to learning and mastery....
Constructivism and Mathematics, Science, and Technology Education
by David E. Brown- 4.7
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Approx. 10 hours to complete
This course is designed to help participants examine the implications of constructivism for learning and teaching in science, mathematics, and technology focused areas. Course readings, discussions, and assignments will examine constructivist views of learning, research on students' ideas and idea-based interactions, research on instructional approaches taking student ideas into account, and challenges in implementing constructivist perspectives in instruction....
Mastering Data Science and Machine Learning Fundamentals
by AI Sciences- 4.2
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2 hours on-demand video
A Beginner Course in Data Science, Machine Learning, Regression, Classification and Clustering in 2020 [THEORY ONLY] A comprehensive course that will teach you how Data Science and Machine Learning Work. So many professionals who work in different areas such as IT, security, marketing, automation, and even medicine, know that machine learning is the key to development....
$9.99
CS50's Introduction to Artificial Intelligence with Python
by David J. Malan , Brian Yu- 0.0
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7 Weeks
Learn to use machine learning in Python in this introductory course on artificial intelligence. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, the demand for expertise in AI and machine learning is growing rapidly. machine learning reinforcement learning...
$199
Deploy Machine Learning & NLP Models with Dockers (DevOps)
by UNP United Network of Professionals- 4.2
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4 hours on-demand video
Learn to build Machine Learning, Deep Learning & NLP Models & Deploy them with Docker Containers (DevOps) (in Python) Machine Learning, as we know it is the new buzz word in the industry today. This course is a perfect blend of foundations of data science, industry standards, broader understanding of machine learning and practical applications and most importantly deploying them....
$12.99
Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
by Reza Farivar , Roy H. Campbell- 4.3
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Approx. 20 hours to complete
Week four focuses on Graph Processing, Machine Learning, and Deep Learning. Then we move to machine learning with examples from Mahout and Spark. The last topic we cover in week four introduces Deep Learning technologies including Theano, Tensor Flow, CNTK, MXnet, and Caffe on Spark. Module 4: Graph Processing and Machine Learning 1 Big Data Machine Learning Introduction...
Street-Fighting Math
by Isaac Chuang , Sanjoy Mahajan , Amira Eltony- 0.0
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4 Weeks
Back in 2010, MIT Press agreed to publish the textbook, Street-Fighting Mathematics, under a free license (in print and online). As a registered student in this course, you can also purchase a printed book from MIT Press at a discount. The last time was in high school, when I was attacked for being “different” and suspended for fighting back....
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Introduction to the Digital Supply Chain (11h)
by Alexandre Oliveira- 4.1
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11 hours on-demand video
The 1st online course on DSC in the WORLD! An introductory course with triggers that lead to insights! · Forecasting with machine learning · Machine learning and deep learning Supply Chain Analytics + Forecasting with machine learning + Inventory Mngt. o Solutions in the Supply Chain Machine learning and deep learning...
$39.99
AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 14 hours to complete
Explain the use of linear and logistic regression in supervised learning applications Explain the use of tree-based algorithms in supervised learning applications Explain the use of Neural Networks in supervised learning applications This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises....
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 14 hours to complete
This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis....
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