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Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
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Approx. 22 hours to complete
In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. Practical Aspects of Deep Learning Train / Dev / Test sets Bias / Variance Basic Recipe for Machine Learning Regularization Why Regularization Reduces Overfitting?...
Cybersecurity Roles, Processes & Operating System Security
by IBM Security Learning Services- 4.6
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Approx. 15 hours to complete
People Process & Technology Information Technology Infrastructure Library (ITIL) Overview People, Process and Technology...
Discrete Optimization
by Professor Pascal Van Hentenryck , Dr. Carleton Coffrin- 4.8
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Approx. 65 hours to complete
Optimization technology is ubiquitous in our society....
Getting Started with AWS Machine Learning
by Blaine SundrudTop Instructor- 4.5
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Approx. 9 hours to complete
Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market....
Applied Plotting, Charting & Data Representation in Python
by Christopher Brooks- 4.5
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Approx. 20 hours to complete
The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework....
Advanced Deployment Scenarios with TensorFlow
by Laurence Moroney- 4.7
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Approx. 13 hours to complete
You’ll be introduced to TensorFlow Serving, a technology that lets you do inference over the web....
Programming with Cloud IoT Platforms
by James Won-Ki HONG- 4.3
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Approx. 6 hours to complete
Internet of Things (IoT) is an emerging area of information and communications technology (ICT) involving many disciplines of computer science and engineering including sensors/actuators, communications networking, server platforms, data analytics and smart applications....
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Deep Learning in Computer Vision
by Anton Konushin , Alexey Artemov- 3.8
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Approx. 13 hours to complete
Deep learning added a huge boost to the already rapidly developing field of computer vision. With deep learning, a lot of new applications of computer vision techniques have been introduced and are now becoming parts of our everyday lives. These include face recognition and indexing, photo stylization or machine vision in self-driving cars....
Business Analytics Capstone
by Wharton Teaching Staff- 4.5
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Approx. 13 hours to complete
The Business Analytics Capstone Project gives you the opportunity to apply what you've learned about how to make data-driven decisions to a real business challenge faced by global technology companies like Yahoo, Google, and Facebook. Why Adblockers Are Spurring a New Technology Arms Race...
Python and Machine-Learning for Asset Management with Alternative Data Sets
by Gideon OZIK , Sean McOwen- 4.4
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Approx. 19 hours to complete
This course is fo you if you are aiming at carreers prospects as a data scientist in financial markets, are looking to enhance your analytics skillsets to the financial markets, or if you are interested in cutting-edge technology and research as they apply to big data....
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