COM025000 books

Learn modern-day technologies from modern-day technical giants Key Features Real-world success and failure stories of artificial intelligence explained Understand concepts of artificial intelligence and deep learning methods Learn how to use artificial intelligence and deep learning methods Know how to prepare dataset and implement models using industry leading Python packages You’ll be able to apply and analyze the results produced by the models for prediction Description The aim of this book is to help the readers understand the concept of artificial intelligence and deep learning methods and implement them into their businesses and organizations. The first two chapters describe the introduction of the artificial intelligence and deep learning methods. In the first chapter, the concept of human thinking process, starting from the biochemical responses within the structure of neurons to the problem-solving steps through computational thinking skills are discussed. All chapters after the first two should be considered as the study of different technological and Artificial Intelligence giants of current age. These chapters are placed in a way that each chapter could be considered a separate study of a separate company, which includes the achievements of intelligent services currently provided by the company, discussion on the business model of the company towards the use of the deep learning technologies, the advancement of the web services which are incorporated with intelligent capability introduced by company, the efforts of the company in contributing to the development of the artificial intelligence and deep learning research. What You Will Learn How to use the algorithms written in the Python programming language to design models and perform predictions in general datasets Understand use cases in different industries related to the implementation of artificial intelligence and deep learning methods Learn the use of potential ideas in artificial intelligence and deep learning methods to improve the operational processes or new products and how services can be produced based on the methods Who this book is for This book is targeted to business and organization leaders, technology enthusiasts, professionals, and managers who seek knowledge of artificial intelligence and deep learning methods. Table of Contents 1. Artificial Intelligence and Deep Learning 2. Data Science for Business Analysis 3. Decision Making 4. Intelligent Computing Strategies By Google 5. Cognitive Learning Services in IBM Watson 6. Advancement web services by Baidu 7. Improved Social Business by Facebook 8. Personalized Intelligent Computing by Apple 9.Cloud Computing Intelligent by Microsoft About the Authors Dr. Jagreet Kaur is a doctorate in computer science and engineering. Her topic of thesis was “ARTIFICIAL INTELLIGENCE BASED ANALYTICAL PLATFORM FOR PREDICTIVE ANALYSIS IN HEALTH CARE.” With more than 12 years of experience in academics and research, she is working in data wrangling, machine learning and deep learning algorithms on large datasets, real-time data often in production environments for data science solutions and data products to get actionable insights for the last four years. Navdeep Singh Gill is a technology and solution architect having more than 15 years of experience in the IT and Telecom industry. For the past six years, he is working in big data analytics, automation and advanced analytics using machine learning and deep learning for planning and architecting of data science solutions and data products.

Best Book on GAN Key Features Understanding the deep learning landscape and GAN’s relevance Learning basics of GAN Learning how to build GAN from scratch Understanding mathematics and limitations of GAN Understanding GAN applications for Retail, Healthcare, Telecom, Media and EduTech Understanding the important GAN papers such as pix2pixGAN, styleGAN, cycleGAN, DCGAN Learning how to build GAN code for industrial applications Understanding the difference between varieties of GAN Description This book aims at simplifying GAN for everyone. This book is very important for machine learning engineers, researchers, students, professors, and professionals. Universities and online course instructors will find this book very interesting for teaching advanced deep learning, specially Generative Adversarial Networks(GAN). Industry professionals, coders, and data scientists can learn GAN from scratch. They can learn how to build GAN codes for industrial applications for Healthcare, Retail, HRTech, EduTech, Telecom, Media, and Entertainment. Mathematics of GAN is discussed and illustrated. KL divergence and other parts of GAN are illustrated and discussed mathematically. This book teaches how to build codes for pix2pix GAN, DCGAN, CGAN, styleGAN, cycleGAN, and many other GAN. Machine Learning and Deep Learning Researchers will learn GAN in the shortest possible time with the help of this book. What will you learn Machine Learning Researchers would be comfortable in building advanced deep learning codes for Industrial applications Data Scientists would start solving very complex problems in deep learning Students would be ready to join an industry with these skills Average data engineers and scientists would be able to develop complex GAN codes to solve the toughest problems in computer vision Who this book is for This book is perfect for machine learning engineers, data scientists, data engineers, deep learning professionals and computer vision researchers. This book is also very useful for medical imaging professionals, autonomous vehicles professionals, retail fashion professionals, media & entertainment professional, edutech and HRtech professionals. Professors and Students working in machine learning, deep learning, computer vision and industrial applications would find this book extremely useful. Table of Contents 1 Basics of GAN 2 Introduction 3 Problem with GAN 4 Famous Types Of GANs About the Author Navin K Manaswi has been developing AI solutions/products for HRTech, Retail, ITSM, Healthcare, Telecom, Insurance, Digital Marketing, and Supply Chain while working for Consulting companies in Malaysia, Singapore, and Dubai . He is a serial entrepreneur in Artificial Intelligence and Augmented Reality Space. He has been building solutions for video intelligence, document intelligence, and human-like chatbots. He is Guest Faculty at IIT Kharagpur for AI Course and an author of the famous book on deep learning. He is officially a Google Developer Expert in machine learning. He has been organizing and mentoring AI hackathons and boot camps at Google events and college events. His startup WoWExp has been building awesome products in AI and AR space. Your Blog links: www.navinmanaswi.com Your LinkedIn Profile: https://www.linkedin.com/in/navin-manaswi-1a708b8/