Artificial Intelligence Machine Learning

Are you confused about what all the rage behind artificial intelligence is and would like to learn more? This audiobook covers everything from machine learning to robotics and the internet of things. You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook. By the time you finish listening, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is.

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.

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.

If you need to learn how to use machine learning, big data, data science, and neural networks but you can’t (or there is no time to) study the complicated math and algorithms behind these technologies, then keep reading. All technologies related to artificial intelligence represent an incredible opportunity if you want to grow your business or if you are searching for a new job, but it’s not very easy to understand how they work.

If you are a technical recruiter who wants to keep your skills up to date in the growing area of artificial intelligence (AI) and machine learning (ML), this is the essential resource for you. In this book, you will learn the fundamentals of AI/ML, from the basics to more advanced. You will also find simple screening questions and conversations that can be used for matching your candidate's resumes to AI/ML job descriptions.

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.

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.

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.

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.

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.

This audiobook is the conclusive history of the field of artificial intelligence (AI), following its history from the fantasies of early pioneers to the more effective work of the present AI engineers. The audiobook incorporates numerous outlines and straightforward depictions of AI programs that will enable the easygoing per user to increase a comprehension of how these and other AI frameworks really work. The work was written especially for beginners. The topic is treated with simplicity and it is easy to read and understand.

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!

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 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.

Three comprehensive manuscripts in one audiobook. Listen to this audiobook now if you want to learn more about machine learning!

This book is an introduction to basic machine learning and artificial intelligence. It gives you a list of applications and also a few examples of the different types of 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.

Machine learning (and also data science) is a computer algorithm that learns how to improve, adjust, and formulate new rules into itself. It's an important, high-demand field that is going to be the future of computer programming....

Dive into the fascinating world of how both your brain and AI learn through supervised learning! In this engaging and accessible book, neuroscientist Dr. Tursun Alkam takes you on a journey to explore the incredible learning capabilities of the human brain and the revolutionary world of Artificial Intelligence.

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.