Take a look at our Artificial Intelligence books. Shulph carries a great selection of Artificial Intelligence books, and we are always adding more.
The essential blueprints and workflow you need to build successful AI business applications Key Features Learn and master the essential blueprints to program AI for real-world business applications Gain insights into how modern AI and machine learning solve core business challenges Acquire practical techniques and a workflow that can build AI applications using state-of-the-art software libraries Work with a practical, code-based strategy for creating successful AI solutions in your business Book Description AI Blueprints gives you a working framework and the techniques to build your own successful AI business applications. You'll learn across six business scenarios how AI can solve critical challenges with state-of-the-art AI software libraries and a well thought out workflow. Along the way you'll discover the practical techniques to build AI business applications from first design to full coding and deployment. The AI blueprints in this book solve key business scenarios. The first blueprint uses AI to find solutions for building plans for cloud computing that are on-time and under budget. The second blueprint involves an AI system that continuously monitors social media to gauge public feeling about a topic of interest - such as self-driving cars. You'll learn how to approach AI business problems and apply blueprints that can ensure success. The next AI scenario shows you how to approach the problem of creating a recommendation engine and monitoring how those recommendations perform. The fourth blueprint shows you how to use deep learning to find your business logo in social media photos and assess how people interact with your products. Learn the practical techniques involved and how to apply these blueprints intelligently. The fifth blueprint is about how to best design a 'trending now' section on your website, much like the one we know from Twitter. The sixth blueprint shows how to create helpful chatbots so that an AI system can understand customers' questions and answer them with relevant responses. This book continuously demonstrates a working framework and strategy for building AI business applications. Along the way, you'll also learn how to prepare for future advances in AI. You'll gain a workflow and a toolbox of patterns and techniques so that you can create your own smart code. What you will learn An essential toolbox of blueprints and advanced techniques for building AI business applications How to design and deploy AI applications that meet today's business needs A workflow from first design stages to practical code solutions in your next AI projects Solutions for AI projects that involve social media analytics and recommendation engines Practical projects and techniques for sentiment analysis and helpful chatbots A blueprint for AI projects that recommend products based on customer purchasing habits How to prepare yourself for the next decade of AI and machine learning advancements Who this book is for Programming AI Business Applications provides an introduction to AI with real-world examples. This book can be read and understood by programmers and students without requiring previous AI experience. The projects in this book make use of Java and Python and several popular and state-of-the-art opensource AI libraries.
Unlock the power of artificial intelligence with top Udemy AI instructor Hadelin de Ponteves. Key Features Learn from friendly, plain English explanations and practical activities Put ideas into action with 5 hands-on projects that show step-by-step how to build intelligent software Use AI to win classic video games and construct a virtual self-driving car Book Description Welcome to the Robot World ... and start building intelligent software now! Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming, including Python, TensorFlow, Keras, and PyTorch. AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination. What you will learn Master the basics of AI without any previous experience Build fun projects, including a virtual-self-driving car and a robot warehouse worker Use AI to solve real-world business problems Learn how to code in Python Discover the 5 principles of reinforcement learning Create your own AI toolkit Who this book is for If you want to add AI to your skillset, this book is for you. It doesn't require data science or machine learning knowledge. Just maths basics (high school level).
Fashion is a glamorous industry, one of beauty, money, fame, and huge profits. However, from the inside, it is clear the industry is suffering. An industry worth $3 Billion (USD), the fashion industry is characterized by products with a short shelf-life, wrong forecasts, low profits, and ever-increasing competition. On the periphery, technology is rapidly invading the fashion industry, with emerging forms such as Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Human-Robot Interface, making their way into this industry in recent years. AI in Fashion Industry discusses recent developments in fashion forecasting, developing a 'framework of AI-based fashion forecasting' and validates the framework with a qualitative case study of the world's first fashion intelligence company based in Bengaluru, India. This book studies the relationship between fashion and social media engagement of consumers, before moving on to create a 'conceptual framework of fashion e-forecasting.' The case study addresses the forecasting-based business problem of a family-owned fashion retail business. This book is unique, suggesting a novel method of fashion product development in the light of data-driven intelligence; documenting some of the rapid developments in the field with the onset of technology and addressing some of the fundamental questions that are becoming more relevant in recent years.
Learn how Artificial Intelligence (AI) strikes deeper roots with new products and services. Key Features The book gives a lucid introduction to the idea of AI. The book is insightful for an academic understanding of AI in the concept of Legal Personality meant for every person, including professionals in the field of Technology, Finance, Healthcare, HR Management, Agriculture. The book gives a idea about many new AI products and services being released in the market. The book presents various social, ethical, and political challenges including significant risk to humanity. Description Our World of personal life and work is set to change dramatically over the next decade as Artificial Intelligence (AI) strikes deeper roots with new products and services, robots take charge of manufacturing and warehouses, and drones reach the remote corners to deliver orders to customers. AI services and robots will particularly facilitate the life of the older people and the visually-impaired. AI has raised the bar of competition in the international market place and countries are busy implementing policies that will keep them ahead in the race of the next-generational change. AI will raise the productivity of the economy and provide a lot more convenience, though there is bound to be a short-term pain in the transformational process. This book explains the concepts of AI with lots of real-life examples. While the big tech companies like Alphabet, Amazon, Apple, Facebook, IBM, Microsoft (3AFIM) of the US and Alibaba, Baidu, JD.com, Tencent (ABJY) of chine are busy re-fashioning their businesses by integrating AI into all products and services they deliver, startups on the other hand are disrupting the traditional business models in finance, e-commerce, healthcare, HR management, fashion, law and even agriculture. AI-driven smart cities would provide a richer quality of living to their residents. This book also provide an insight into various social and ethical issues, such as monopoly of the big tech, ownership of data, personal privacy, job losses and autonomy of technology particularly in military warfare, which poses an existential threat to mankind. Future of AI is also discusses taking a 360-degree approach. AI offers a huge economic opportunity, but a thoughtful approach for democratization of technology is required to provide benefits to all sections of the society. Nations and communities need to come together to evolve models that will be sustainable in the long run. What Will You Learn Able to solve real-life AI case studies. Understand the future of AI solutions and adapt quickly to them. Who This Book Is For It is a simple, explanatory, and descriptive guide for developers, technology consultants, and those interested in AI and wants to understand the fundamentals of AI and implement it practically by devising smart solutions. Table of Contents AI, How it is transforming Life and Business Understanding AI and Associated Technologies AI in the ‘bull’ run Data, the Engine of AI Big tech bets big on AI AI Startups that transformed Businesses AI Startups in Finance AI Startups in Healthcare AI Startups in Human Resource AI Startups in Fashion, Law, Agriculture and Other Areas Ethical, Social and Political issues in AI Future of AI Conclusion About the Author Prabhat Kumar is an adjunct faculty at IIT Delhi, a practicing lawyer and a corporate consultant. He specializes in artificial intelligence, digital technologies, management and Law. He did his B.Tech, M.Tech (systems and management) and Ph.D. from IIT Delhi. He also did LL.B form Delhi University and LL.M. from Singapore. He attended an MBA program in High Technology Management at a Business School in France. He has more than 75 publications in leading newspapers and journals including the Economic Times, Business Standard, The Hindu-Business Line, HTTTech4U and Gift Journal on diverse topics relating to technology, cyber law, intellectual property law, trade and foreign investment etc. He has been a speaker at many conferences in India and abroad.
Artificial Intelligence and Global Security: Future Trends, Threats and Considerations brings a much-needed perspective on the impact of the integration of artificial intelligence (AI) technologies in military affairs. Experts forecast that AI will shape future military operations in ways that will revolutionize warfare. That is why there is an urgent need to consider the potential ethical and moral consequences related to enabling AI to make decisions that will shape the future world. This book masterfully presents a vision of a future that is replete with integrated networks of artificial intelligence that are designed to both defend and attack nations. Artificial Intelligence and Global Security: Future Trends, Threats and Considerations has rendered a major service to those interested in the impact of artificial intelligence technologies and its contribution to the evolution and revolution in military warfare. It also explores the implications of AI for the individual, for personal identity, for society, and for global security; it examines the impact of AI on Just War Theory; and it offers diverse perspectives on the consequences of the integration of AI in our daily lives and society.
Create AI applications in Python and lay the foundations for your career in data science Key Features Practical examples that explain key machine learning algorithms Explore neural networks in detail with interesting examples Master core AI concepts with engaging activities Book Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learn Understand the importance, principles, and fields of AI Implement basic artificial intelligence concepts with Python Apply regression and classification concepts to real-world problems Perform predictive analysis using decision trees and random forests Carry out clustering using the k-means and mean shift algorithms Understand the fundamentals of deep learning via practical examples Who this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it's recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python).
Artificial intelligence is creating huge opportunities for workplace learning and employee development. However, it can be difficult for L&D professionals to assess what difference AI can make in their organization and where it is best implemented. Artificial Intelligence for Learning is the practical guide L&D practitioners need to understand what AI is and how to use it to improve all aspects of learning in the workplace. It includes specific guidance on how AI can provide content curation and personalization to improve learner engagement, how it can be implemented to improve the efficiency of evaluation, assessment and reporting and how chatbots can provide learner support to a global workforce.Artificial Intelligence for Learning debunks the myths and cuts through the hype around AI allowing L&D practitioners to feel confident in their ability to critically assess where artificial intelligence can make a measurable difference and where it is worth investing in. There is also critical discussion of how AI is an aid to learning and development, not a replacement as well as how it can be used to boost the effectiveness of workplace learning, reduce drop off rates in online learning and improve ROI. With real-world examples from companies who have effectively implemented AI and seen the benefits as well as case studies from organizations including Netflix, British Airways and the NHS, this book is essential reading for all L&D practitioners needing to understand AI and what it means in practice.
Bring a new degree of interconnectivity to your world by building your own intelligent robots Key Features Leverage fundamentals of AI and robotics Work through use cases to implement various machine learning algorithms Explore Natural Language Processing (NLP) concepts for efficient decision making in robots Book Description Artificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills. As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks. By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence. What you will learn Get started with robotics and artificial intelligence Apply simulation techniques to give your robot an artificial personality Understand object recognition using neural networks and supervised learning techniques Pick up objects using genetic algorithms for manipulation Teach your robot to listen using NLP via an expert system Use machine learning and computer vision to teach your robot how to avoid obstacles Understand path planning, decision trees, and search algorithms in order to enhance your robot Who this book is for If you have basic knowledge about robotics and want to build or enhance your existing robot's intelligence, then Artificial Intelligence for Robotics is for you. This book is also for enthusiasts who want to gain knowledge of AI and robotics.
The ability to predict consumer choice is a fundamental aspect to success for any business. In the context of artificial intelligence marketing, there are a wide array of predictive analytic techniques available to achieve this purpose, each with its own unique advantages and disadvantages. Artificial Intelligence Marketing and Predicting Consumer Choice serves to integrate these widely disparate approaches, and show the strengths, weaknesses, and best applications of each. It provides a bridge between the person who must apply or learn these problem-solving methods and the community of experts who do the actual analysis. It is also a practical and accessible guide to the many remarkable advances that have been recently made in this fascinating field. Online resources: bonus chapters on AI, ensembles and neural nets, and finishing experiments, plus single and multiple product simulators.
Blending of AI and AR Key Features The book believes in the concept of teach by example. All the tools needed to facilitate quick understanding of complex concepts are provided in this book: Definition of key terms Industry studies, research statistics, etc., that clarify concepts Spotlight sections A Word of Caution sections Chapter summaries Questions for reflection Description Artificial Intelligence Meets Augmented Reality: Redefining Regular Reality is a unique book as it presents the new technology paradigm of artificial intelligence (AI) and augmented reality (AR) and its full transition, right from major advantages that enhance entire industries to changing how the world operates at various levels. New realities will emerge in the context of our existing world through the combination of AI-AR. The book presents both the bright and bleak sides of the AI-AR duo in order to give a holistic view and help us to decide how we are going to leverage such technologies—and whether their disruptive or transformative nature—will mar or make the future of our world. A workforce of enlightened engineers is the key to designing and developing AI-AR solutions with responsibility in order to achieve the greater good. Through the book, Chitra Lele has explained a multidisciplinary, integrated approach as to how we can minimize barriers and blend AI and AR without destroying our natural settings. The book will help to chart out a path where there is no trail yet, and get you started on developing AI-AR solutions and experiences in bettering the world in an ethical and responsible manner. What Will You Learn Dynamics of Artificial Intelligence and Augmented Reality AI and AR Ecosystem Business at the Crossroads of AI and AR What does the AI-AR Marriage Hold for the Future of the World Who This Book Is For Students, Academicians, Educationists, Professionals and Policy researchers. Table of Contents PART 1—Dynamics of Artificial Intelligence and Augmented Reality Introduction to Artificial Intelligence and Augmented Reality AI and AR Ecosystem PART 2—Business at the Crossroads of AI and AR AI Meets AR in the Business Landscape More Dynamics of the AI-AR Convergence PART 3—What does the AI-AR Marriage Hold for the Future of the World Collaboration of Intelligence and Augmentation in the Real World Challenges and Solutions Where do We Go from Here About the Author CHITRA LELE is a young software consultant, academic author and research scholar. She is a double postgraduate: Master in Computer Management and Master of Science in Software Engineering. Her publications include scholarly articles, research papers and academic books. She has been conferred with the title of “A Versatile Writer” by the India Book of Records for penning maximum number of books in a short span of eighteen months in various genres. LinkedIn Profile: linkedin.com/in/chitraleleauthorandconsultant