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Data Science Fundamentals for Data Analysts
by Emma Freeman , Mark Roepke- 0.0
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Approx. 19 hours to complete
In this course we're going to guide you through the fundamental building blocks of data science, one of the fastest-growing fields in the world! With the help of our industry-leading data scientists, we’ve designed this course to build ready-to-apply data science skills in just 15 hours of learning. Supervised and Unsupervised Learning A Review of Supervised Learning and Regression...
Intermediate Intel® Distribution of OpenVINO™ toolkit for Deep Learning Applications
by Kimberly Karalekas- 0.0
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Approx. 5 hours to complete
The course looks at computer vision neural network models from a variety of popular machine learning frameworks and covers writing a portable application capable of deploying inference on a range of compute devices. The course is targeted for application developers, and places focus on examples and discussion of the development workflow....
Applied Text Mining in Python
by V. G. Vinod Vydiswaran- 4.2
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Approx. 29 hours to complete
This course will introduce the learner to text mining and text manipulation basics. This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python. Demonstration: Regex with Pandas and Named Groups Internationalization and Issues with Non-ASCII Characters...
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
Machine learning is transforming the world around us. To become successful, you’d better know what kinds of problems can be solved with machine learning, and how they can be solved. - Fit decision trees and boost them with ensemble learning These people never sleep to babysit this course day and night, to make your learning experience productive, smooth and exciting....
Optimizing Machine Learning Performance
by Anna Koop- 4.6
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Approx. 12 hours to complete
By the end of this course you will have all the tools and understanding you need to confidently roll out a machine learning project and prepare to optimize it in your business context. This is the final course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute (Amii)....
A Complete Reinforcement Learning System (Capstone)
by Martha White , Adam White- 4.7
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Approx. 16 hours to complete
In this final course, you will put together your knowledge from Courses 1, 2 and 3 to implement a complete RL solution to a problem. Course 4 Introduction Reinforcement Learning Textbook Pre-requisites and Learning Objectives Andy Barto on What are Eligibility Traces and Why are they so named? Let's Review: Examples of Episodic and Continuing Tasks...
Career Brand Development and Self-Coaching
by Dr. Valeri Chukhlomin , Dr. Michele Forte , Dr. John M. Beckem II , Amy Giaculli- 4.5
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Approx. 15 hours to complete
In this course, you will engage in developing and strengthening the functional component of your career brand. Drucker), you will learn how to use strategic management models and techniques for enhancing your skills portfolio. - Develop and implement a realistic performance metric for your career development activities ("Your Present Job Market Value"); Career development lab: Introduction Course developers and contributors...
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The Complete iOS 10 And Swift 3 Developer Course
by Awesome Tuts- 4.3
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26.5 hours on-demand video
The BEST online course for learning iOS development with practical approach and clear explanations Using what you obtain in this course, you will be equipped with more than enough knowledge in order to continue improving yourself in the field of app development and you can also use the same skills to create Mac OS Apps....
$12.99
Data for Machine Learning
by Anna Koop- 4.4
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Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. Completing this course will give learners the skills to: This is the third course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute....
Machine Learning
by Andrew NgTop Instructor- 4.9
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Approx. 61 hours to complete
(iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas....
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