Search result for Mathematics for machine learning Online Courses & Certifications
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Preparing for the Google Cloud Professional Data Engineer Exam
by Google Cloud Training- 4.6
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Approx. 9 hours to complete
The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation. Operationalizing Machine Learning Models Machine learning Machine learning and unstructured data Operationalizing Machine Learning Models: Exam Guide Review Operationalizing Machine Learning Models...
Innovating with Data and Google Cloud
by Google Cloud Training- 4.9
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Approx. 2 hours to complete
In this course, you'll learn what data is, historical ways companies have used it to make decisions, and why it is so critical for machine learning. Module 3: Innovation with Machine Learning What is machine learning? Real-world use cases for ML 03: Innovation with Machine Learning Identify Google Cloud’s solutions for Machine Learning and AI...
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
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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) Maximum Likelihood Estimation for Bayesian Networks...
Deep Learning for Business
by Jong-Moon Chung- 4.4
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Approx. 8 hours to complete
Introduction to Deep Learning for Business Business with Deep Learning & Machine Learning 1 Business Considerations in the Machine Learning Era 2 Business Strategy with Machine Learning & Deep Learning 3 Why is Deep Learning Popular Now? Deep Learning Computing Systems & Software 1 What is Deep Learning & Machine Learning?...
Machine Learning Algorithms: Supervised Learning Tip to Tail
by Anna Koop- 4.7
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Approx. 9 hours to complete
This course takes you from understanding the fundamentals of a machine learning project. This is the second course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute. Scikitlearn documentation for decision trees (Optional) Scikitlearn documentation for random forests (Optional) Scikitlearn documentation for k-nearest neighbours (Optional)...
AI For Everyone
by Andrew NgTop Instructor- 4.8
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Approx. 7 hours to complete
AI is not only for engineers. - What it feels like to build machine learning and data science projects Machine Learning What machine learning can and cannot do More examples of what machine learning can and cannot do Non-technical explanation of deep learning (Part 1, optional) Workflow of a machine learning project...
Machine Learning Using SAS Viya
by Jeff Thompson , Catherine Truxillo- 4.7
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Approx. 35 hours to complete
This course covers the theoretical foundation for different techniques associated with supervised machine learning models. Getting Started with Machine Learning using SAS® Viya® SAS Viya Tools for SAS Visual Data Mining and Machine Learning Risk Modeling Add-on for SAS Visual Data Mining and Machine Learning Regularizing and Tuning the Hyperparameters of a Machine Learning Model...
The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats
by Eric Siegel- 4.8
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Approx. 14 hours to complete
In order to serve both types, this course goes further than typical machine learning courses, which cover only the technical foundations and core quantitative techniques. This curriculum uniquely integrates both sides – both the business and tech know-how – that are essential for deploying machine learning. Identify potential machine learning deployments that will generate value for your organization...
AI Workflow: Enterprise Model Deployment
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
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Approx. 9 hours to complete
Apache Spark is a very commonly used framework for running machine learning models. Analyze hyperparameters in machine learning models on Apache Spark Deploy machine learning algorithms using the Apache Spark machine learning interface Deploy a machine learning model from Watson Studio to Watson Machine Learning Introduction to Spark Machine Learning...
Machine Learning A-Z: Support Vector Machine with Python ©
by AI Sciences- 4.6
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11.5 hours on-demand video
The Complete Machine Learning and Support Vector Machine Course for Beginners We’ll also learn various steps of data preprocessing which allows us to make data ready for machine learning algorithms. Machine Learning concepts, including: This course is for you if you want to learn how to program in Python for Machine Learning...
$9.99
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