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This book demonstrates how nonscientific ideas have been encoded deep into our technological infrastructure. Offering a rigorous, fresh perspective on how technology has brought us to this place, Rage Inside the Machine challenges the long-held assumption that technology is an apolitical and amoral force.

You can be incredibly productive with Azure without mastering every feature, function, and service. Learn Azure in a Month of Lunches, Second Edition gets you up and running quickly, teaching you the most important concepts and tasks in 21 practical bite-sized lessons. As you explore the examples, exercises, and labs, you'll pick up valuable skills immediately and take your first steps to Azure mastery! This fully revised new edition covers core changes to the Azure UI, new Azure features, Azure containers, and the upgraded Azure Kubernetes Service.

This book attempts to teach Swift Programming, from Novice to Expert. Topics covered include: • Swift • Frameworks and APIs • Data Structures and Algorithms • Mathematics • Data Science and Machine Learning • IO and Databases • Cryptography and Hacking • Networking • Fast-running Code • Blockchain • .... And more

Today, many decisions that could be made by human beings, from predicting earthquakes to interpreting languages, can now be made by computer algorithms with advanced analytic capabilities. Every day, we make millions of decisions. However, these decisions may be imperfect due to limited experience, implicit biases, or faulty probabilistic reasoning. Algorithms can better predict human behavior than trained psychologists and with much simpler criteria. Discover how algorithms shape and impact our world.

Do you have a big interest in computers and how they work? Are you interested in learning how to become a hacker? Would you like to learn all of this in a safe and secure manner that can make life easier? Computer Networking: All in One contains all the knowledge you need to achieve your goals in the computer world.

This book will teach and guide you though steps like saving files and understanding F1 - F12 keys. It's a great book to help start you out with your basic computer needs.

If you need a go-to guide with numerous examples and coded programs, Python Machine Learning will be the answer. If you want to train your own models and enhance them to achieve your demand, Python Machine Learning is the exact tool. Do you want to train the machines and model to carry out complex jobs with accurate date and predictions in a more efficient way? Do you want to have a quick start in the right direction to enter into the Python world?

Learn Hacking From Scratch and Start a Career (Practical Application) This is the second edition of our ebook, 'Learn Hacking From Scratch and Start a Career'. This book is actually a practical demonstration of Hacking. What will you learn ? Practical steps of Hacking Roadmap of Ethical Hacking. Kali linux WiFi Hacking Website Hacking Cracking Passwords, RDPs, etc. And more..

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples.

Are you new to Artificial Intelligence and looking for a simple, clear introduction? Generative Artificial Intelligence for Beginners is the perfect starting point for anyone who wants to understand AI without feeling overwhelmed. This beginner-friendly guide breaks down complex concepts into easy-to-follow steps, giving you the confidence to dive into AI and use its incredible tools in no time.

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Taking inspiration from the human mind, professors Gary Marcus and Ernest Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

Are you overwhelmed by AI jargon and complex concepts? Do you wish for a simple guide to show you how AI can transform your life and career? You’re not alone! Many people feel the same way, but with AI for Beginners, you’ll gain clarity and confidence in this ever-evolving field.

Instructional design offers powerful ways to build training and teach new skills, but its methods run DEEP. Finding a clear, easy-to-follow path can be frazzling. Where do you even start? Whether you’re a new instructional designer, looking to transition from another job, or tasked with training for your organization, this book will help get you rolling! We’ll dig into examples and spin tips, tactics, and research-backed learning principles into a professional workflow.

In today's technological society, with an unprecedented amount of information at our fingertips, learning plays a more central role than ever. In How We Learn, Stanislas Dehaene decodes its biological mechanisms, delving into the neuronal, synaptic and molecular processes taking place in the brain. He explains why youth is such a sensitive period, during which brain plasticity is maximal, but also assures us that our abilities continue into adulthood, and that we can enhance our learning and memory at any age.

This audiobook will help you get ready for the changes coming in the years ahead. Listen now. Packed with expert insights, the book addresses critical questions: How will AI alter employment, education, and global geopolitics? What ethical dilemmas will arise as humans interlace with AI through cyborgs and synthetic biology? Can we prepare for superintelligence and its utopian—or dystopian—outcomes?

If you read (or listen to) nothing else on artificial intelligence and machine learning, listen to these ten articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization.

Gain a competitive edge in today’s data-driven world and build a rich career as a data professional that drives business success and innovation… Today, data is everywhere… and it has become the essential building block of this modern society. And that’s why now is the perfect time to pursue a career in data. But what does it take to become a competent data professional? This book is your ultimate guide to understanding the fundamentals of data analytics, helping you unlock the expertise of efficiently solving real-world data-related problems.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.

This book provides a short summary and overview of data structures, algorithms, and machine learning. It is meant to introduce these topics to those new to programming for data analysis and engineering as well as provide a means for those familiar in these topics to explore them in Ruby.