Learning Artificial Intelligence

Machines are able to interpret and understand human beings, and also interpret the data that is fed to them because of artificial intelligence. So, what is artificial intelligence? If you have been reading the basics, you will know that artificial intelligence is a human being’s attempt to make a machine smart enough to handle processes that a human being would normally do. It is not easy to do this, since you will need to understand the system and also learn the required programming languages to instruct the computer to behave in the required manner.

You’re not alone. Teachers everywhere face the same challenges. But there’s a solution. AI for Educators will help you enhance classroom engagement, cut down on admin tasks, and keep up with AI-driven trends in education.

Whether you're new to the world of programming and are looking for clarity on what direction to take, or you're simply curious about what machine learning, AI, and big data has in store for the future and want to prepare for it, this guide makes it easy to actually understand implement machine learning and data analytics effectively.

Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production. In Deep Learning Patterns and Practices you will learn: Internal functioning of modern convolutional neural networks, procedural reuse design pattern for CNN architectures, models for mobile and IoT devices, assembling large-scale model deployments, optimizing hyperparameter tuning, and migrating a model to a production environment.

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.

In this visionary book, Leslie Valiant argues that understanding the nature of our own educability is crucial to safeguarding our future. After breaking down how we process information to learn and apply knowledge, and drawing comparisons with other animals and AI systems, he explains why education should be humankind's central preoccupation. Will the unique capability that has been so foundational to our achievements and civilization continue to drive our progress, or will we fall victim to our vulnerabilities?

This study guide follows the syllabus for the Microsoft AI Foundations exam (AI-900). More importantly, this audiobook will help you gain the foundational knowledge needed to become an AI practitioner. You do not need a mathematical or programming background to understand the concepts in this audiobook or to pass the AI-900 exam. This study guide does not contain any material that compromises the integrity of any Microsoft exam. All materials, including practice questions, were developed using the syllabus for the exam and thorough research of published articles.

If you want to learn about the internet of things, then pay attention.... You were just woken up in the middle of the night by smart light bulbs in your house blasting at full power for no reason. Your bleary-eyed investigation shows they tried to download a firmware update and failed. At that moment, Alexa starts quietly whispering sweet nonsense to herself in the corner and Roomba starts slamming into the nearest wall. What do you do? Is your house haunted or have the machines finally started an uprising? Neither - it’s just another day in the IoT wonderland.

Unlock the Power of Generative AI: Master Creativity, Deep Learning, and Advanced AI in One Essential Collection! Are you ready to revolutionize your creativity, career, and understanding of artificial intelligence? Whether you're an absolute beginner or looking to sharpen your AI expertise, this book collection takes you on a transformative journey through the world of Generative AI, Deep Learning, and Neural Networks. Discover How AI Can Save You Time, Enhance Creativity, and Propel Your Career Forward!

Are you ready to unlock the transformative power of Artificial Intelligence (AI) in your classroom? Look no further than An Educator's Guide to AI in the Classroom. This comprehensive book is a roadmap for educators seeking to harness the potential of AI and revolutionize their teaching practices. Drawing on the latest research and practical insights, this guide offers a holistic approach to incorporating AI in schools. From understanding the broader impact of AI to practical applications and K-12 classroom lesson plans, this book covers it all.

In AI for Good: Applications in Sustainability, Humanitarian Action, and Health, a team of veteran Microsoft AI researchers delivers an insightful and fascinating discussion of how one of the world's most recognizable software companies is tackling intractable social problems with the power of artificial intelligence (AI). In the book, you'll see real in-the-field examples of researchers using AI with replicable methods and reusable AI code to inspire your own uses.

Master Artificial Intelligence in no time, even if you're a total beginner or a tech novice with our essential guide — Empower your career and simplify your daily life! Does the world of AI and machine learning seem intimidating, complex, or out of reach? Are you interested in diving into the realm of AI but have no idea where to start? Are you overwhelmed by endless information and complex terminologies that seem to make AI learning more challenging? You're not alone!

Author Rashed Haq is a subject matter expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for more than 10 years. He shares that expertise in the new audiobook Enterprise Artificial Intelligence Transformation. The first of its kind, this audiobook grants technology leaders the insight to create and scale their AI capabilities and bring their companies into the new generation of technology.

In Part I, this book develops the Cognitive Amplifier Loop, which allows humans to use AI to build on their cognitive and emotional strengths and manage their limitations. Kosslyn discusses ways to employ this loop to offload tasks to AI and to utilize it to train us effectively and efficiently, as well as how to use it to both learn and engage in critical thinking and creative problem-solving—and manage cognitive and emotional constraints. Part II establishes how to draw on the Cognitive Amplifier Loop to help us improve our human relationships.

Machine Learning: The History of Automating Computers to Observe and Analyze Data looks at the attempts to develop machine learning, from successes to failures. You will learn about machine learning like never before.

In our highly competitive world of today, we need all the edge we can to get ahead of our competitors. For a long time, companies have focused on spending more on marketing and advertisement, ignoring the powerful asset they had at their disposal: data. Although this isn't the case anymore for large companies, smaller businesses are still in the dark about this, and you can use this asset to your advantage. This bundle will show you how.

Are you drowning in endless tasks? Stuck using outdated tools that make your workday drag on forever? Does the mere mention of AI make you feel like you're lost in a sci-fi thriller you don't understand? Take a deep breath. You don't have to be a tech guru to harness the game-changing powers of AI and ChatGPT. You're just one listen away from demolishing the barriers that prevent you from unlocking a wealth of new skills and opportunities.

AI for Beginners: Using Artificial Intelligence for Good, Essential Basics, Creative Ideas, and Side Hustles is a comprehensive guide that covers the basics of AI and provides practical, hands-on tips for getting started with AI projects.

Would you like to learn how to use Python to generate machine learning models but you think it would be too difficult? Or perhaps you want to automate simple things with your computer but you don’t know how to do it? Here's the deal.... As a beginner you might think that programming is complex.... Learning artificial intelligence coding can take months, and the possibility to give up before mastering it could be high.

GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks.