検索キーワード： 制作 "-- Kevin Wright --" 機械理論・人工知能

This audiobook is a combo of three books that gives you all the information you need about the brain (and a woman's brain, in particular), neural networks, artificial intelligence, psychopaths, split personality, speed-reading strategies, and neuroplasticity among others.

From Amazon's Alexa to Japan's robot chefs, technology is becoming increasingly saturated into our everyday lives. Previous technological revolutions have come and gone, but this one is different. For the first time in economic history, productivity and employment are diverging, suggesting that humans are contributing less to economic growth.

Artificial intelligence (AI) is our society's biggest opportunity. It will be the most influential technology of our century, but we still don’t know how to put this into the right path. This audiobook focuses on the philosophical side of artificial intelligence and robotics, while remaining rational and pragmatic.

In this audiobook, you’ll find information on artificial intelligence (AI), psychopaths, and split personality disorder. This guide contains the answers to many questions and answers related to these subjects. Don’t keep yourself in the dark about these important issues.

This audiobook covers a wide range of topics, such as artificial intelligence (AI), its effects on the society, and its future, psychopaths and sociopaths, and about dissociative identity disorder, more commonly known as split personality disorder. This book teaches you the basic topics in neuroscience and neurology.

The book takes a different approach to digital disruption and its impact on business and society. It take the listener on a journey from the past, by looking at the earlier industrial revolutions and comparing and contrasting to the digital revolution. This also provides examples and experiences on how businesses, governments, and individuals can understand the digital disruption and take advantage of it.

Machines are able to interpret and understand human beings and also interpret the data that is fed to them because of artificial intelligence (AI). So, what is artificial intelligence? If you have been trying to learn the basics of artificial intelligence, you will know that it is a human being’s attempt to make a machine smart enough to handle processes that a human being would normally do.

The world of technology is changing all the time. A product that is innovative and brand-new today can be old news tomorrow as we are in a constant state of looking for the newest and most innovative things that we can use. And when it comes to helping us stay on top of this technology, artificial intelligence is leading the pack. This audiobook will provide you all the information you need to understand and learn how artificial intelligence is being used in our modern world.

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.

Today, many decisions that could be made by human beings, from predicting earthquakes to interpreting languages, can now be made by computer algorithms with advanced analytic capabilities. Every day, we make millions of decisions. However, these decisions may be imperfect due to limited experience, implicit biases, or faulty probabilistic reasoning. Algorithms can better predict human behavior than trained psychologists and with much simpler criteria. Discover how algorithms shape and impact our world.

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.

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.

This book is designed to be an introduction to machine learning algorithms for a complete beginner. It starts with an explanation of exactly what machine learning algorithms are and then walks you through the languages and frameworks used to create them. Studying machine learning is considered to be quite challenging due to the impression that special talent is required or some unachievable level of mathematics is needed in order to understand the various algorithms and techniques. But anyone can learn to become a machine learner and put the theory into practice.

For the curious mind, there is perhaps no more intriguing a subject than artificial intelligence in the early 21st century. In Artificial Intelligence: Understanding the Science, Impact, and Future Of AI, Machine Learning, Neural Networks, and the Singularity, author Thien-Nam Dinh draws on his years of experience to tackle the big questions in AI and present them in a way that even a human can understand.

Today, many decisions that could be made by human beings from predicting earthquakes to interpreting languages can now be made by computer algorithms with advanced analytic capabilities....Algorithms can better predict human behavior than trained psychologists and with much simpler criteria. Studies continue to show that the algorithms can do a better job than experts in a range of fields. Artificial intelligence is reshaping healthcare, science, engineering and life. The results will make our lives more productive, better organized, and essentially, much happier.

Si usted está en la etapa de principiante y busca obtener nuevos conocimientos sobre el aprendizaje automático, entonces siga leyendo.... No escuche este audiolibro si usted está buscando un libro de texto aburrido que contenga mucha jerga de matemáticas y programación. Todos los días, alguien está renunciando a aprender sobre el aprendizaje automático. Muchas personas se pierden de continuar su carrera, y tal vez incluso el progreso de nuestra especie sin ni siquiera darse cuenta.

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

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.

Artificial intelligence is everywhere. This book goes beyond merely a definition of artificial intelligence, delving into a discussion of strategies, tools, vendors, and trends to ensure, as a consultant and/or business leader, you are competitive in 2019 and beyond. Artificial Intelligence: Foundations for Business Leaders & Consultants illustrates how to successfully embed artificial intelligence in yours or your client's organization through a simple view of a complex topic to enabling listeners to leverage AI for competitive advantage.

A growing number of experts are sounding the alarm about the potential dangers of super intelligent machines - those that will far surpass the intelligence of even the brightest and most gifted human minds. These machines are expected to emerge in the next couple of decades, yet experts are far from reaching a consensus on the conditions that will catalyze their emergence. Nor are there any plausible theories on how the machines will begin to impact humanity.