Denis Rothman - Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases

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Denis Rothman graduated from l'Universit Paris-Sorbonne and l'Universit Paris-Diderot, writing one of the very first word2matrix embedding solutions. He began his career authoring one of the first AI cognitive NLP chatbots applied as a language teacher for Mot et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an Advanced Planning and Scheduling (APS) solution used worldwide.

Armando Fandango creates AI-powered products by leveraging his expertise in deep learning, machine learning, distributed computing, and computational methods. He advises Owen.ai Inc., Real Engagement, and Loyalty Inc. on AI product strategy. He founded NeuraSights to create insights using neural networks. He was the chief data scientist and CTO for Epic Engg ., Consulting Group LLC, and director of data science for Sonobi. He has advised high-tech startups as an AI expert and advisory board member.

Nicolas Guet is a financial controller at GRDF. He was a project leader for ENGIE and a SAP BI consultant for Capgemini.

He graduated from Universit Pierre et Marie Curie (Paris VI) and Universit Paris Sud (Paris XI). He also designed a decision-making tool in Java that was part of an AI Advanced Planning System, managing hundreds of thousands of orders for 100+ suppliers worldwide. He is dedicated to promoting sustainable energy and smart grids.

Jrmie Rothman is an IT project manager at the French National Forest Office (ONF). He was an IT consultant for TCS France and worked on a Total SA route optimizing project. He graduated from Universit Paris 1 Panthon Sorbonne in economics and holds a degree in software mathematics (Universit Paris 5 Ren Descartes).

He designed a Nash equilibrium theory of games algorithm to optimize warehouse locations for an AI Advanced Planning System (APS). The APS program is used to this day.

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This book will take you through all of the main aspects of artificial intelligence:

• The theory of machine learning and deep learning
• Mathematical representations of the main AI algorithms
• Real life case studies
• Tens of opensource Python programs using TensorFlow, TensorBoard, Keras and more
• Cloud AI Platforms: Google, Amazon Web Services, IBM Watson and IBM Q to introduce you to quantum computing
• An Ubuntu VM containing all the opensource programs that you can run in one-click
• Online videos

This book will take you to the cutting edge and beyond with innovations that show how to improve existing solutions to make you a key asset as a consultant, developer, professor or any person involved in artificial intelligence.

This book contains the main artificial intelligence algorithms on the market today. Each machine learning and deep learning solution is illustrated by a case study and an open source program available on GitHub.

• Project managers and consultants: To understand how to manage AI input datasets, make a solution choice (cloud platform or development), and use the outputs of an AI system.