Search result for Learn machine learning for free Online Courses & Certifications
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Machine Learning Algorithms: Supervised Learning Tip to Tail
by Anna Koop- 4.7
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)...
Project Planning and Machine Learning
by David Sluiter- 4.7
Approx. 17 hours to complete
* How machine learning algorithms work - a basic introduction * Why we want to study big data and how to prepare data for machine learning algorithms Machine Learning Segment 4 - Machine Learning Schools of Thought Segment 6 - Categories of Machine Learning Segment 20 - Machine Learning in IIoT Segment 21 - Machine Learning Summary...
AI For Everyone
by Andrew NgTop Instructor- 4.8
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...
Predictive Modeling and Machine Learning with MATLAB
by Heather Gorr , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Adam Filion , Erin Byrne , Sam Jones- 4.7
Approx. 22 hours to complete
By the end of this course, you will use MATLAB to identify the best machine learning model for obtaining answers from your data. Introduction to Supervised Machine Learning Supervised Machine Learning Reference Applying the Supervised Machine Learning Workflow Summary of Predictive Modeling and Machine Learning Examples of Integrating Machine Learning Models Automated Machine Learning...
Using SAS Viya REST APIs with Python and R
by Jordan Bakerman , Ari Zitin- 0.0
Approx. 18 hours to complete
You’ll learn to upload data into the cloud, analyze data, and create predictive models with SAS Viya using familiar open source functionality via the SWAT package -- the SAS Scripting Wrapper for Analytics Transfer. You’ll learn how to create both machine learning and deep learning models to tackle a variety of data sets and complex problems....
Model Building and Validation
by Don Dini , Rishi Pravahan- 0.0
Approx. 8 weeks
Many of you may have already taken a course in machine learning or data science or are familiar with machine learning models. Apply the QMV process to analyze on how Udacity employees choose candies! lesson 2 Question Phase Learn how to turn a vague question into a statistical one that can be analyzed with statistics and machine learning....
Free
Intro to Relational Databases
by Karl Krueger- 0.0
Approx. 4 weeks
Learn about the select and insert statements the basic operations for reading and writing data. Learn about the operators and syntax available to get the database to scan and join tables for you. lesson 3 Python DB-API Learn how to access a relational database from Python code. lesson 4 Deeper Into SQL Learn how to design and create new databases....
Free
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AWS DeepRacer
by Blane Sundred , DeClercq Wentzel- 0.0
Approx. 2 weeks
AWS DeepRacer is a 1/18th scale race car which gives you an interesting and fun way to get started with reinforcement learning (RL). Learn the fundamentals of machine learning and reinforcement learning in a fun and engaging way through autonomous driving with AWS DeepRacer. Learn about the platform by following what's included in the box....
Free
Introduction to Artificial Intelligence (AI)
by Rav Ahuja- 4.7
Approx. 9 hours to complete
In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. Optional: Application Domains for AI Machine Learning Machine Learning Techniques and Training Explain terms like Machine Learning, Deep Learning and Neural Networks...
人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)
by 于天立- 4.6
Approx. 12 hours to complete
1-1 Brief Introduction to Machine Learning, Learning from Example 1-6 Biased and Unbiased Hypothesis Space, Futility of Bias-Free Learning Computational Learning Theory 2-1 Introduction to Computational Learning Theory, Setting of Sample Complexity 2-6 Upper and Lower Bounds on Sample Complexity with VC dimension, The Mistake Bound for Algorithms 3-2 Learning Decision Tree, Information...