検索キーワード： 機械理論・人工知能

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.

Machine learning is a use of artificial intelligence (AI) that gives software the capacity to naturally learn and improve without being unequivocally modified. Machine learning centers around the improvement of computer programs that can get to data and use it to learn for themselves. The way toward learning starts with perceptions or data - for example, models, direct understanding, or guidance, so as to search for designs in data and settle on better choices later, depending on the models that we give.

Artificial intelligence (AI) is progressing at a runaway pace, transforming everything it touches in its path, so much so that it no longer belongs to a distant future but an immediate reality. We are seeing how all sectors become “smart” and how the leading companies already invest high figures in making this new technology their future. Not only the giants, but more and more companies are also taking the step and get into the car of this, which is already assumed, the "third industrial revolution."

The audiobook provides information on artificial intelligence (AI), its applications, benefits, dangers, and effect on future. You'll also learn about psychopaths and sociopaths and the difference between them. Learn about dissociative identity disorder, its dependencies, and treatment.

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.

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.

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.

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.