Artificial Intelligence: Evolution and Revolution
Steven Astorino, Mark Simmonds, Dr. Jean-Francois Puget, Roger Sanders
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- Throughout history, machines have been introduced to society to help automate tasks, improve productivity, and reduce costs. And, in just a few years, computers have evolved from centralized number-crunching monoliths to separate, miniaturized systems that can be found in billions of interconnected items such as cellphones, wearable devices, automobiles, home appliances, and more.
From humble evolutions in research papers and labs, artificial intelligence which encompasses machine learning (ML) and deep learning (DL) - has matured in its many forms and has been infused in applications that can learn on their own and become smarter with each interaction and transaction. Coupled with immense stores of data, maturity in CPU and GPU hardware, the invention of new, open-source deep learning algorithms, and cloud technologies, operational AI has become available to the masses, setting the wheels in motion for a worldwide AI revolution that has never been seen before.
This book helps the reader on their AI journey by covering:
- The concepts of AI, ML, and DL in their many forms
- Key ML and DL algorithms data scientists should learn
- Ethical challenges for the use of AI
- How AI is being used across industries
- Possible future outlook for AI
- An AI Ladder to help accelerate the AI journey
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Steven Astorino is the Vice President of Development, Data and AI and Canada Lab Director at IBM. He is a development executive with proven transformational leadership and expertise in leading large enterprise development. He has been leading and driving the machine learning and data science strategy for IBM's analytics group. Steve has a Bachelor's Degree in Computer Science.
Mark Simmonds is a Program Director in IBM Data and AI communications. He writes extensively on machine learning and data science, holding a number of author recognition awards. He previously worked as an IT architect, leading complex infrastructure design projects. He is a member of the British Computer Society and holds a Bachelor's Degree in Computer Science.
Dr. Jean-Francois Puget is the technical executive for all IBM machine learning offerings. He holds a PhD in Machine Learning, has published over 70 scientific papers, and practices machine learning competitions as a Kaggle Grandmaster under the name CPMP.
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Item Number: 5180 Author Name: Steven Astorino, Mark Simmonds, Dr. Jean-Francois Puget Publication Date: October 1, 2019 Edition: First Pages: 120 ISBN-10: 1583478922 ISBN-13: 9781583478929 Format: Paperback Product Dimensions: 6 x 0.3 x 9 inches Shipping Weight: 5.6 ounces Language: English
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