Search result for Machine learning training Online Courses & Certifications
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Machine Learning for All
by Dr Marco Gillies- 4.7
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Approx. 22 hours to complete
Not only that, you will get hands on and use user friendly tools developed at Goldsmiths, University of London to actually do a machine learning project: training a computer to recognise images. Whoever you are, we are looking forward to guiding you through you first machine learning project. Machine learning Machine learning...
Microsoft Azure Machine Learning
by Microsoft- 4.8
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Approx. 11 hours to complete
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence....
Follow a Machine Learning Workflow
by Renée Cummings- 0.0
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Approx. 20 hours to complete
Machine learning is not just a single task or even a small group of tasks; it is an entire process, one that practitioners must follow from beginning to end. Machine Learning Datasets Guidelines for Selecting a Machine Learning Dataset Collect and prepare a dataset to use for training and testing a machine learning model....
Supervised Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.8
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Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. Introduction to Supervised Machine Learning and Linear Regression Introduction to Supervised Machine Learning: What is Machine Learning? Introduction to Supervised Machine Learning: Types of Machine Learning Supervised Machine Learning for Interpretation and Prediction...
Supervised Machine Learning: Regression
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 11 hours to complete
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting. Introduction to Supervised Machine Learning and Linear Regression Introduction to Supervised Machine Learning: What is Machine Learning? Introduction to Supervised Machine Learning: Types of Machine Learning Supervised Machine Learning for Interpretation and Prediction...
Introduction to Embedded Machine Learning
by Shawn Hymel , Alexander Fred-Ojala- 4.8
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Approx. 17 hours to complete
Machine learning (ML) allows us to teach computers to make predictions and decisions based on data and learn from experiences. In recent years, incredible optimizations have been made to machine learning algorithms, software frameworks, and embedded hardware. Limitations and Ethics of Machine Learning Machine Learning on Embedded Devices Machine Learning Specific Hardware...
Developing AI Applications on Azure
by Ronald J. Daskevich, DCS- 4.4
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Approx. 16 hours to complete
We'll discuss machine learning types and tasks, and machine learning algorithms. By the end of this course, you will be able to create, implement and deploy machine learning models. Definition of AI and Machine Learning Machine Learning Alogrithms Comparison of machine learning algorithms Azure Machine Learning Service: Model Training Microsoft Azure Machine Learning Documentation...
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Introduction to Applied Machine Learning
by Anna Koop- 4.7
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Approx. 7 hours to complete
This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. The Machine Learning Process...
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
by 林軒田- 4.9
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Approx. 10 hours to complete
Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. What is Machine Learning Applications of Machine Learning Components of Machine Learning...
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
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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...
