Search result for Mathematics in machine learning Online Courses & Certifications
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Introduction to High-Performance and Parallel Computing
by Shelley Knuth , Thomas Hauser- 3.4
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Approx. 18 hours to complete
It is targeted to scientists, engineers, scholars, really everyone seeking to develop the software skills necessary for work in parallel software environments. These skills include big-data analysis, machine learning, parallel programming, and optimization. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform....
Learn Pro Advanced Python Programming
by Data Scientist- 4.3
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26.5 hours on-demand video
We will also learn Machine Learning in Python in depth by covering the Mathematics behind each model as well. Also we will use these Machine Learning Models to make something real out of it. Also after taking this course, learning any Advance Level concept in any other language will be 10x more simpler....
$13.99
Calculus for Data Science - Machine Learning - Deep Learning
by Manifold AI Learning ®- 4.2
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10 hours on-demand video
In further sections, we move along and apply the basics and learn some of the important concepts related to approximation which is the core for any Machine learning, Deep Learning , Artificial intelligence, Data Science model Join now to build confidence in Mathematics part of Machine learning, Deep Learning , Artificial intelligence, Data Science and stay ahead in your career....
$13.99
Machine Learning A-Z: Support Vector Machine with Python ©
by AI Sciences- 4.6
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11.5 hours on-demand video
A breakthrough in Machine Learning would be worth ten Microsofts. Machine learning has been ranked one of the hottest jobs on Glassdoor and the average salary of a machine learning engineer is over $110,000 in the United States according to Indeed! Machine Learning is a rewarding career that allows you to solve some of the world's most interesting problems!...
$9.99
Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
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Approx. 14 hours to complete
In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. You will then perform automated machine learning (AutoML) to automatically train, tune, and deploy the best text-classification algorithm for the given dataset using Amazon SageMaker Autopilot....
Complete Machine Learning Course - Learn From Scratch
by ABD Muhammad- 3.3
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3 hours on-demand video
Learn Machine Learning from scratch and go from zero to hero in Machine Learning Welcome to this course "Complete Machine Learning Course - Learn From Scratch". In this course you will learn from scratch....
$12.99
Learning Path: Python: Effective Data Analysis Using Python
by Packt Publishing- 3.9
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10.5 hours on-demand video
To ensure that you get the best of the learning experience, in this Learning Path we combine the works of some of the leading authors in the business. This sparked a passion for software development and developmental programming and led him to explore state-of-the art projects in natural language processing, facial detection/recognition, and machine learning....
$12.99
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Practical Predictive Analytics: Models and Methods
by Bill Howe- 4.1
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Approx. 7 hours to complete
In this course you will design statistical experiments and analyze the results using modern methods. Collectively, this course will help you internalize a core set of practical and effective machine learning methods and concepts, and apply them to solve some real world problems. Machine Learning Structure of a Machine Learning Problem...
AWS DeepRacer
by Blane Sundred , DeClercq Wentzel- 0.0
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Approx. 2 weeks
Learn the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer. lesson 1 Intro to AWS DeepRacer Get an overview of what you’ll be learning and doing in the course. lesson 2 Reinforcement learning in DeepRacer DeepRacer definition. Learn about the platform by following what's included in the box....
Free
Build Regression, Classification, and Clustering Models
by Anastas Stoyanovsky- 0.0
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Approx. 20 hours to complete
In most cases, the ultimate goal of a machine learning project is to produce a model. You'll build multiple models to address each of these problems using the machine learning workflow you learned about in the previous course. Linear Regression in Machine Learning Matrices in Linear Regression Train and evaluate clustering models to find useful patterns in unsupervised data....
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