Artificial Intelligence Machine Learning

Many people have unanswered questions about artificial intelligence. Today, the majority of those questions will likely be answered. Concerns will be addressed, and examples will be given. This book starts off with a question and answer section about artificial intelligence. It then proceeds to cover specific artificially intelligent applications, such as chatbots and robotics. These pages will show details of things that puzzle many people’s minds. But you won’t be left in the dark and will enjoy the full benefits of this knowledge. Start listening now!

"Teaching with AI" offers a straightforward, practical guide to using AI for educators and teachers, even if you're starting from scratch. Learn how to effectively implement AI in the classroom, preparing your students for a future shaped by technology.

If you've been following the news, you probably know that artificial intelligence is taking over. Self-driving trucks, face recognition, machines, and automatic cashiers are becoming the replacement for regular human beings. If you want to learn more about artificial intelligence, where it comes from, how some of it works, and what the future might look like, this audiobook is for you.

Technology has grown greatly in the recent past from self-driving cars to automated warehouses to websites being able to suggest what videos we should watch next based on our preferences to showing us ads that relate to things we are interested in and the world we are living in these days. It is, perhaps, like a sci-fi scene from movies of some decades ago.

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.

To understand machine learning, you need to understand what it means and how it affects you. Machine learning is a method the utilizes data analysis to provide an automatic system of analysis for model building that involves analytics. This is a specific branch of artificial intelligence based solely on ideas that say that through a system, you can begin to learn the data that is needed for pattern identification and decision-making that will include minimal amounts of human interaction and intervention.

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.

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.

Elon Musk, Stephen Hawking, and Bill Gates have proclaimed Artificial Intelligence as a possible threat in the future unless humans learn to use it wisely. Could this be true? Is it possible for us to create artificial intelligence programming so that we'll soon have thinking and feeling AI? Is it even possible for us to have a human-looking AI run for president in the future? All of these questions and thoughts are addressed in Artificial Intelligence: Understanding A.I. and the Implications of Machine Learning.

Learn How You Can Start Making Money By Publishing Books Today. Even if you're a complete novice, even if you're not a tech guru, and yes, even if you're an 80-year-old grandma. This book is your easy guide to learn how to write better and faster than ever by harnessing the power of ChatGPT.

If you want to learn about data science, then pay attention...This audiobook will discuss everything that you need to know when it comes to working in the field of data science. There is so much that we can explore and learn about when it comes to the world of data science, and this ultimate guide is here to help you navigate through these specialties. You will see just how important the ideas of data mining, data analytics, and even artificial intelligence are to our world as a whole today.

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.

Do you want to learn about business intelligence but don't feel like reading a boring textbook? In the modern business world, the pace of action continues to quicken. Businesses need to be able to get actionable insights from their data in order to make the right decisions to act rapidly and effectively. In this audiobook, you will be introduced to the concept of business intelligence.

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.

Do you want to understand what big data is all about, but you don’t get all the hype? Are you intrigued by the idea of building a career around big data and data science, but you just don’t understand it? If so, this audiobook could be what you are looking for. If you know nothing about big data now, you will come away with a good overview of the subject and how it integrates into the other hot technologies of the day widely adopted by business, such as artificial intelligence, predictive analytics, and machine learning.

Analytics of Life provides the listener with a broad overview of the field of data analytics and artificial intelligence. It provides the layperson an understanding of the various stages of artificial intelligence, the risks and powerful benefits. And it provides a way to look at big data and machine learning that enables us to make the most of this exciting new realm of technology in our day-to-day jobs and our small businesses.

Feeling buried under lesson plans, grading, and administrative tasks? Find out how AI could be your new best friend in the classroom...AI is already making waves in sectors like healthcare, automotive, and even your home appliances. So why should education be any different?

In Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. The authors take you on a sweeping tour—from inside secretive government organizations to academic workshops at ski chalets to Google's cafeteria—recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes.

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.

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.