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You don't want to miss this exciting step-by-step guide to successful NFT and Metaverse investing! The NFT market is revolutionary and revolutionary change can be overwhelming. This audiobook will guide you through the current landscape of the NFT market and provide insight into how to invest in it. You'll learn how to make and sell an NFT token, how Metaverse is impacting the NFT market, and how to engage with the NFT market.

A lo largo del último siglo, la humanidad ha logrado lo imposible frenando la hambruna, la peste y la guerra. Por primera vez en la historia, más personas mueren por obesidad que por pasar hambre y hay más probabilidades de quitarse la vida que de morir en un conflicto bélico o un atentado terrorista.

Drawing on decades of research into decision-making under uncertainty, Gerd Gigerenzer makes a compelling case for the enduring importance of human discernment in an automated world that we are told can - and will - replace our efforts. Filled with practical examples and cutting-edge research, How to Stay Smart in a Smart World examines the growing role of AI at all levels of daily life with refreshing clarity. This book is a life raft in a sea of information and an urgent invitation to actively shape the digital world in which we want to live.

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 comprehensive audiobook teaches listeners the basics of artificial intelligence (AI), its applications, threats, opportunities, effects, big data, neural networks, and much more.

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.

Bei Alexa Echo Show handelt es sich um bei Weitem mehr als nur ein Spielzeug für Technikbegeisterte. Dank dieser modernen und innovativen Technologie rückt die Smart-Home Technik, also das intelligente Zuhause, ein ganz großes Stück näher. Alexander Lechoba sorgt in diesem Hörbuch dafür, dass wirklich keine Fragen mehr offen bleiben! Der Hörer erfährt so auf einen Blick das volle Potential seines Alexa Echo Show Gerätes.

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....

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.

¿Le gustaría aprender sobre minería de datos pero no desea escuchar un libro aburrido? El presente audiolibro de minería de datos podría ser la respuesta que está buscando.... ¿Alguna vez se ha preguntado cómo las empresas pueden proporcionarle datos personalizados que se adapten a sus necesidades o cómo Facebook muestra las noticias e historias relacionadas con su historial de búsqueda? En este caso, la minería de datos es la respuesta a estas dos preguntas.

Artificial intelligence is rapidly transforming our lives, from workplace to home, from jobs to recreation. In this time of rapid change, how can you stay relevant and not be left behind? This book gives you the knowledge needed to understand what is happening in the AI world, what future jobs will look like, and what upcoming trends and products you can expect.

Some things you will come across as Ai sweeps all over the world and helps and threatens everyone at the same time: the very definition of artificial intelligence, business opportunities that increase with the help of Ai, and how machine learning ties into all of this.

Can Biotechnology Abolish Suffering? is a collection of essays by utilitarian philosopher David Pearce. The essays deal with a variety of subjects, including the abolition of suffering through biotechnology, negative utilitarianism, our obligations toward non-human animals, the nature of consciousness, and the future of intelligent life.

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.

Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!

This book is great for those just starting out in programming. And for those needing more advanced coding knowledge. The author explains everything step by step in a simple and easy to understand way. This book covers JavaScript, HTML, SQL, CSS, and Python programming languages. The narrator in the audiobook version seems to be pretty good. He doesn't drone on. 

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.