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Craig Brown

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Dr. Craig Brown is a top Techpreneur and Technology expert covering 30+ years of various technological and innovative projects for top fortune 1000 companies. He is also a Big Data, Data Science and Data Analytics subject matter expert. Brown has doctoral degrees from University of Pennsylvania and Cornell University, an MBA from the Wharton School of Business and BS degrees from University of Pennsylvania. Dr. Brown has earned 25 professional certifications in technology & business and is a leading expert in the IT arena.
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The Digital Shopfloor - Industrial Automation in the Industry 4.0 Era book cover
The Digital Shopfloor - Industrial Automation in the Industry 4.0 Era
Performance Analysis and Applications (River Publishers Series in Automation, Control, and Robotics)
John Soldatos - 2019-05-09
Discover the future of manufacturing with this comprehensive guide to Industry 4.0. The digital transformation of industrial processes, propelled by Cyber-Physical Production Systems and Industrial Internet of Things technologies, offers unprecedented opportunities for hyper-efficient and highly flexible plants. However, deployment and maintenance costs, lack of awareness and knowledge, and uncertain business benefits have hindered progress. In response, the Digital Shopfloor Alliance provides leading edge digital automation solutions and guidelines for successful deployment, validated by three European Commission-funded projects. This book offers a detailed overview of the Alliance's solutions, including digital simulation and complementary assets, making it an indispensable tool for manufacturers seeking to benefit from Industry 4.0.
Craig Brown
Free open access book on Industry 4.0, factory automation and Edge: The Digital Shopfloor: Industrial Automation in the Industry 4.0 Era looks like a great free open access book by John Soldatos,  Oscar Lazaro and… #DataScience #BigDataAnalytics #AI      fuente
Deep Learning book cover
Deep Learning
Ian Goodfellow - 2016-11-01
Calificación de Goodreads
This book explores the fascinating world of deep learning, which teaches computers to understand the world through a hierarchy of concepts. It covers mathematical and conceptual background, techniques used in industry, and research perspectives. Readers will learn about relevant topics in linear algebra, probability theory, and more, as well as practical applications in areas like natural language processing and computer vision. Perfect for students or engineers looking to incorporate deep learning into their work. Supplementary material available on the website.
Craig Brown
Distilled News: A Gentle Introduction to Deep Learning – [Part 1 ~ Introduction] I am starting this blog to share my understanding of this amazing book Deep Learning that is written by Ian Goodfellow, Yoshua Bengio and Aaron Cournville. I just started…      fuente
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Vinod KhoslaChris Albon
Python Machine Learning book cover
Python Machine Learning
Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition
Sebastian Raschka - 2015-10-01
Calificación de Goodreads
Link to the GitHub Repository containing the code examples and additional material: https://github.com/rasbt/python-machi... Many of the most innovative breakthroughs and exciting new technologies can be attributed to applications of machine learning. We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible. Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively. This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results. You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world
Craig Brown
Expert Insight Book on Machine Learning: Python Machine Learning - Second Edition by Sebastian Raschka & Vahid Mirjalili The first edition of this book, is a balance of classical ideas and modern insights into machine… #DataScience #BigDataAnalytics #AI      fuente
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Kirk Borne