Most economists agree that AI is a general purpose technology (GPT) like the steam engine, electricity, and the computer. AI will drive innovation in all sectors of the economy for the foreseeable future. Practical AI for Business Leaders, Product Managers, and Entrepreneurs is a technical guidebook for the business leader or anyone responsible for leading AI-related initiatives in their organization. The book can also be used as a foundation to explore the ethical implications of AI. Authors Alfred Essa and Shirin Mojarad provide a gentle introduction to foundational topics in AI. Each topic is framed as a triad: concept, theory, and practice. The concept chapters develop the intuition, culminating in a practical case study. The theory chapters reveal the underlying technical machinery. The practice chapters provide code in Python to implement the models discussed in the case study. With this book, readers will learn: The technical foundations of machine learning and deep learning How to apply the core technical concepts to solve business problems The different methods used to evaluate AI models How to understand model development as a tradeoff between accuracy and generalization How to represent the computational aspects of AI using vectors and matrices How to express the models in Python by using machine learning libraries such as scikit-learn, statsmodels, and keras

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

If you have tried everything imaginable but have never been able to use artificial intelligence to scale your business or enhance your projects, then this could be one of the most important books you have read in years. Do you still find it hard to adopt the whole concept of artificial intelligence in your company? Are you interested in knowing how business owners like you can leverage the fundamentals of artificial intelligence to make smarter decisions, but unsure how to start? "Practical Artificial Intelligence: An Enterprise Playbook" is written to give you an in-depth view of Artificial Intelligence and how it can be used to make analytics more productive and efficient at workplaces. This book reveals what artificial intelligence is in simple terms and how organizations from all walks of life can easily leverage it to run projects successfully and make smarter decisions. This book offers a thorough grounding in enterprise Ai concepts, along with practical instructions on applying its tools and mechanics in real-life situations. Data technology is moving fast and thanks to Ai, organizations can now use machines to perform complex tasks. However, for a lot of companies, incorporating AI into operations can be very daunting. This practical guide breaks down the basics of how Ai works in simple, non-technical terms as well as what it takes for businesses to start incorporating it into their projects in a step-by-step approach. There are many unanswered questions regarding Ai for most people. This book answers them all. Here's a preview of what you'll discover within the pages of this book: How organizations can use and implement artificial intelligence for their daily operations The fundamental concepts, foundation and the applications of artificial intelligence Understanding how you can deploy Ai for your projects even if you have no technical expertise The shortcomings, limitations and strengths of Ai How to use Ai, who needs it, when to use it and when to avoid it And much more... If you want to understand the mechanics of artificial intelligence and how organizations can use it successfully without debugging complex codes, this book is for you. Scroll up and click the "Buy Now" button to get this entire book right now!

Practical AI Strategies: Engaging with Generative AI in Education explores the transformative potential of artificial intelligence in modern education. This comprehensive guide provides educators, administrators, and technology enthusiasts with practical insights and hands-on strategies for integrating AI into educational settings. The book begins with an introduction to generative AI, explaining its core concepts, evolution, and the key technologies that drive its advancements. Readers will gain a deep understanding of how AI is reshaping traditional teaching methods and enhancing student engagement through real-world applications and case studies. In Part II, the focus shifts to implementing AI in the classroom. Strategies for curriculum integration, designing AI-enhanced lesson plans, and creating personalized learning experiences are discussed in detail. Educators will find step-by-step guides and project examples to help them develop AI-powered educational tools and interactive learning environments. Part III addresses the critical aspect of AI literacy, emphasizing the importance of training educators and students to navigate and leverage AI technologies effectively. The book outlines essential skills for AI-ready educators and provides examples of successful professional development programs. It also highlights project-based learning approaches to foster AI literacy among students. The fourth part of the book delves into the tools and technologies available for generative AI in education. It offers a comprehensive overview of popular AI tools, guidance on evaluating and selecting the right tools for classroom use, and insights into developing custom AI solutions tailored to specific educational needs. Ethical considerations and challenges are thoroughly explored in Part V. The book discusses strategies for addressing bias and fairness, ensuring transparency and accountability, and overcoming technical and logistical hurdles in AI implementation. Real-world case studies provide practical solutions to common challenges faced by educators and institutions. Finally, the book looks ahead to future trends and innovations in AI for education. It identifies emerging trends, such as AI-powered educational platforms and VR-enhanced learning experiences, and provides long-term strategies for scaling AI solutions. Interviews with AI and education experts offer valuable insights into the future of AI in education.

A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the "need-to-know" aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve.

Divided into six parts, Practical AI Strategies guides readers through the construction and ethics of generative AI technologies, navigates policy landscapes and provides practical strategies for using these technologies in education

Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.