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Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
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Approx. 34 hours to complete
The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. Introduction to Supervised Machine Learning A Few Useful Things to Know about Machine Learning How to Use t-SNE Effectively How Machines Make Sense of Big Data: an Introduction to Clustering Algorithms...
Using SAS Viya REST APIs with Python and R
by Jordan Bakerman , Ari Zitin- 0.0
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Approx. 18 hours to complete
In this course, you’ll learn how to use the SAS Viya APIs to take control of SAS Cloud Analytic Services from a Jupyter Notebook using R or Python. You’ll learn how to create both machine learning and deep learning models to tackle a variety of data sets and complex problems. SAS Approach to Open Source Integration...
AI For Everyone
by Andrew NgTop Instructor- 4.8
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Approx. 7 hours to complete
- How to spot opportunities to apply AI to problems in your own organization - What it feels like to build machine learning and data science projects Every job function needs to learn how to use data How to choose an AI project (Part 1) How to choose an AI project (Part 2)...
Responsive Website Tutorial and Examples
by Dr Matthew Yee-King , Dr Mick Grierson- 4.2
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Approx. 24 hours to complete
We will show you how to build sites that provide precisely this functionality, using Meteor. The course also provides a range of advice and suggestions about how to develop bespoke web applications which match the requirements of clients, where clients are people who commission the product or people who use the product....
Hands-on Text Mining and Analytics
by Min Song- 3.9
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Approx. 13 hours to complete
This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists....
Teaching in University Science Laboratories (Developing Best Practice)
by Natasa Brouwer , Gunther Fleerackers , Claire McDonnell , Mauro Mocerino , Iwona Maciejowska- 4.7
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Approx. 14 hours to complete
It aims to support teachers to improve their teaching skills for active learning in university science laboratory courses. It will show you how laboratory sessions can differ with respect to their aim and expected learning outcomes, how to engage students for learning and how to cope with their different levels of pre-knowledge and experience and probe their understanding....
How to Defeat Diabetes Type 2
by Davina Lloyd- 4.1
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5.5 hours on-demand video
Comprehensive, personal seven-step success story on reversing Diabetes Type 2, and what to do. No-nonsense advice, guidance and practical exercises to overcome Type 2 Diabetes Charts and graphs enable you to track your own progress and motivate you to further success. By the end of this course, you’ll know everything I did and precisely how to do it for yourself....
$12.99
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How to Make Any Type Beat
by Trap School- 3.5
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40 mins on-demand video
How to Make Any Type Beat How to Make Any Type Beat you want in any style on Start a type beat factory Make any Type beat in 10 mins use this method to increase music production output per day and sell beats online Learn to Copy any type Beat and to create any style of trap beat...
$12.99
Big Data Applications: Machine Learning at Scale
by Alexey A. Dral , Vladimir Lesnichenko , Evgeny Frolov , Ilya Trofimov , Pavel Mezentsev , Emeli Dral- 3.8
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Approx. 28 hours to complete
To become successful, you’d better know what kinds of problems can be solved with machine learning, and how they can be solved. - learn how to work with texts; With these skills, you will be able to tackle many practical machine learning tasks. Introduction to large scale machine learning How to train algorithms....
Production Machine Learning Systems
by Google Cloud Training- 4.6
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Approx. 8 hours to complete
Welcome to the course How to Send Feedback Adapting to Data Exercise: Adapting to Data Machine Learning on Hybrid Cloud...
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