Learning Artificial Intelligence

Either if you want to start your own AI enterprise, to empower your business or to work in the greatest and most innovative companies, Artificial Intelligence is the future, and neural networks programming is the skill you want to have. The good news is that there is no exclusive club, you can easily (if you commit, of course) learn how to program and use neural networks, and to do that Neural Networks for Beginners is the perfect way.

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.

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.

Become an expert on machine learning, even if you don’t have a tech background! The IT realm is ever-expanding. New technologies are being discovered every day, creating a need for new and diverse job categories. Machine learning is currently the fastest growing IT sector. It deals with building machines that can imitate humans and even adapt. This audiobook will teach you everything you need to know about this soon-to-become the most profitable area of computer science. You’ll have no problem keeping up with the content, even without any programming experience.

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.

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?

If you wish to learn python, Python Volume 1 will introduce you to the unlimited potential of python programming language in the world of big data, data science, deep learning, machine learning, artificial intelligence, and more.

Machine learning is changing the world. You use machine learning every day and probably don’t know it. In this audiobook, you will learn how ML grew from a desire to make computers able to learn.

Neuroscientist Explains Brain and AI: How the Brain and AI Learn Via Deep Learning is a captivating exploration of the groundbreaking field of deep learning, presented from both the perspective of human brain function and the rapidly advancing world of artificial intelligence. Author Dr. Tursun Alkam, a neuroscientist with over two decades of experience, guides listeners through the intricacies of neural networks and hierarchical learning, using relatable analogies and real-world examples to make complex concepts accessible to teen and young adult listeners.

Artificial intelligence is already embedded in much of our daily lives, and it's increasingly moving into realms that impact authors and the publishing industry. We need to embrace the opportunities and engage in conversations around possible threats in order to reinvent our industry for a very different future. In this book, I discuss current technological and societal trends and consider the opportunities for authors and the publishing industry over the next decade. We can use these technologies to surf the wave of change and invent the decade ahead - together.

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.

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.

Robotics is slowly creeping into our lives, and soon, robots will be everywhere. Do you know everything there is to know about robotics? Do you want to know more about robotics? Do you want to discover the advantages of robotics? If so, then you've come to the right place.

Are you an educator, administrator, or EdTech enthusiast looking to navigate the rapid field of artificial intelligence in education? "AI in Education: Empowering Educators, Inspiring Students: Practical Strategies to Transform Teaching and Improve Learning Outcomes" is your step-by-step guide to understanding and unveiling the power of AI. This book is designed to empower you, giving you the confidence and capability to enhance teaching and learning experiences with AI.

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.

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

Do you want to master machine learning? This guide explains everything you need to know to finally fully understand machine learning and how you can use it to revolutionize your business and give your marketing plan a boost in the right direction. Each section is chockful of information about this branch of artificial intelligence that’s based on the idea that systems can identify patterns, learn from data, and make decisions with minimal human intervention.

Given the large amounts of data we use everyday; whether it is in the web, supermarkets, social media etc., analysis of data has become integral to our daily life. The ability to do so effectively can propel your career or business to great heights. Machine learning is the most effective data analysis tool. While it is a complex topic, it can be broken down into simpler steps, as show in this audiobook. We are using Python, which is a great programming language for beginners. Python is a great language that is commonly used with machine learning.

Everywhere we turn, a new device promises to transfigure our lives. But at what cost? In this urgent and revelatory excavation of our Information Age, leading technology thinker Adam Greenfield forces us to reconsider our relationship with the networked objects, services, and spaces that define us. It is time to re-evaluate the Silicon Valley consensus determining the future. We're told that innovations - from augmented - reality interfaces and virtual assistants to autonomous delivery drones and self-driving cars - will make life easier, more convenient, and more productive.