Learning Artificial Intelligence

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.

Artificial intelligence is already penetrating into the smallest and most private areas of our lives. Even in the field of computer games, social networks or the digital sex industry, human and non-human relationships are already merging. This interlinking of the virtual and the real world, spurred on by improved AI technology, will continue to gain momentum, and of course this will have an impact on our social behavior. The discussion about both the good and dubious implications of these developments cannot be initiated early enough.

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 the future, artificial intelligence will create virtually all of the content we consume. This audiobook reviews how AI is already helping create written content, images, video, and music. It then explains how AI will be a valuable tool for content creators in the short-term. Finally, it discusses the risks and benefits of AI-created content.

Artificial Intelligence –( the Path towards Logical and Rational Agents) This book is an introduction to the fundamentals of Artificial Intelligence its aim is to introduce A.I. through its history, its contemporary role in society and the economy. We then lift the hood to see how A.I. works and how we can create our very own rational A.I. agents The topics of interest are as follows: • A.I. today in 2017 • A.I role in society • A.I. role in employment • A.I. role in the economy • Algorithms and types of A.I • Modern Approaches to A.I • What A.I. can do • What A.I. can't ...

This boxed set includes two titles: Book 1: 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. Book 2: Neural Networks - Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to achieve this. Neural Networks are good at processing complex, non-linear relationships and are used in forecasting, image processing, and character recognition.

Unlock the hidden secrets of AI in transforming your learning experience with the ChatGPT Bible (Student's Special Edition). Explore the uncharted world of AI-driven conversations and how they are revolutionizing the educational landscape in ways you've never known before.

Transform your classroom with the power of Artificial Intelligence: engage, enlighten, and elevate your teaching game! Teaching is a fulfilling job, but its not easy. You spend most of the week planning lessons, doing paperwork, making choices all while living your own life too. This means sleepless nights, stressful deadlines, and a never-ending to-do list. Wouldn't it be nice to have some help? A tool that was powerful and smart enough to make your workload lighter, streamline your tasks, and innovate the way you teach?

What does it mean to "know" something? While the answer to this question has been traditionally defined by the content of an individual's mind, artificial intelligence technology, or AI, has the potential to completely redefine the notion. In no context are discussions of "what it means to know" more relevant than in those surrounding individuals with cognitive disabilities - unique individuals who struggle with knowing daily.

Have you ever felt overwhelmed by the complexity of implementing Artificial Intelligence (AI) into your curriculum? Worried about the ethical implications? Or maybe you feel that your lack of tech expertise leaves you lagging in the rapidly progressing digital age of education? You're not alone. The exponential growth of AI has left many educators feeling tossed in the deep end, their anxieties heightened by the rapid waves of technological change. So, where do you turn when you're navigating these uncharted waters?

Transform your classroom with AI-powered strategies in just weeks—even if you’ve never used an edtech tool before. Are you overwhelmed by the constant wave of new AI tools and trends, wishing for a clear, step-by-step guide that actually makes sense for your classroom? Have you tried workshops or generic lesson plans, only to find they don’t fit your students’ needs or your subject area? Are you worried about student privacy, equity, or simply feeling left behind by rapid changes in education technology? If so, you’re not alone. Most educators feel the same uncertainty, but there ...

This course provides a detailed executive-level review of contemporary topics in supervised machine learning theory with specific focus on predictive modeling and linear regression. The ideal student is a technology professional with a basic working knowledge of machine learning theory. Additionally, to better inform the interested student, the final lesson of this course presents samples in Python describing the essential implementation of described regression methods.

This book on machine learning will explain the concepts, methods, and history behind machine learning. Learn what it is, its importance, history, and much more.

Machine learning and deep learning are changing technology as we know it. Critical infrastructure decisions are now driven by finely tuned algorithms trained with huge datasets. AI is transforming the way business is done; learn the techniques and strategies to apply this cutting-edge tech to your own businesses.

"Intelligent Futures: Navigating the Complexities of AI and Machine Learning" is a comprehensive exploration of the multifaceted world of artificial intelligence (AI) and machine learning (ML), designed to provide readers with a deep understanding of both the technologies themselves and the broader implications they carry for society, industry, and the future. This book serves as a guide through the intricacies of AI and ML, offering insights into their development, the revolutionary changes they bring to various sectors, and the challenges and opportunities they present. Structured to ...

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.

This book aims to demystify the field of Artificial Intelligence (AI) for a broad audience, bridging the gap between complex technical concepts and accessible understanding. The core problem addressed is the widespread lack of knowledge and understanding about AI, leading to both fear and unrealistic expectations. Many individuals struggle to grasp the fundamental principles of AI, its capabilities, limitations, and ethical implications. This book seeks to foster a more informed and nuanced perspective on AI, equipping readers with the knowledge to engage critically with this transformative...

Are you ready to unlock the power of artificial intelligence and revolutionize your writing process? Whether you're a blogger, author, marketer, or entrepreneur, AI Writing Secrets provides the ultimate roadmap to harnessing AI for faster, smarter, and more engaging content creation.

This audiobook narrated by Teri Schnaubelt explains how to put democracy at the heart of AI governance.

Master the concepts and strategies underlying success and progress in data science. From the author of the bestsellers, Data Scientist and Julia for Data Science, this book covers four foundational areas of data science. The first area is the data science pipeline including methodologies and the data scientist's toolbox. The second are essential practices needed in understanding the data including questions and hypotheses. The third are pitfalls to avoid in the data science process. The fourth is an awareness of future trends and how modern technologies like Artificial Intelligence (AI) fit...