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Companies small and large are initiating AI projects, investing vast sums of money on software, developers, and data scientists. Too often, these AI projects focus on technology at the expense of actionable or tangible business results, resulting in scattershot results and wasted investment. Succeeding with AI sets out a blueprint for AI projects to ensure they are predictable, successful, and profitable. It’s filled with practical techniques for running data science programs that are cost effective and focused on the right business goals.

This audio book on artificial intelligence is aimed at beginners and is designed to teach you the basics within the historical development of AI. For this reason, our journey begins with the section "Introduction and historical background of AI". Topics and contents of the lessons: I. Introduction and historical background. What is AI - a philosophical consideration, Strong and Weak AI, The Turing Test, The birth of the AI, The era of great expectations, Catching up with reality, How to teach a machine to learn, Distributed systems in the AI, Deep Learning, Machine Learning.

Machine learning is fast becoming an important technique used by multiple industries and in applications and research. But you don’t have to be part of a massive organization with an endless pot of money to get involved. Even beginners using the Python programming language can be a part of machine learning, and that is what this book is for. Today, the only limit to machine learning is your imagination.

Magnum opus of evolutionary cyberneticist and digital philosopher Alex M. Vikoulov on the ultimate nature of reality, consciousness, the physics of time, philosophy of mind, transhumanism, economic theory, the technological singularity, the extended Gaia theory, the impending phase transition of humanity, the simulation hypothesis, transcendental metaphysics, and God. In one volume, the author covers it all: from quantum physics to your experiential reality, from the Big Bang to the Omega Point, from the "flow state" to psychedelics, and more.

This audiobook addresses the new branch called cyberpsychology, which shows how there has been a change in the person-technology relationship, analyzing how new developments affect the day-to-day life of the person, as well as the mental health of its users. All this is backed by an extensive bibliography on the latest research conducted in this area.

In the movies, robots can be terrifying. In reality, thinking machines are disrupting the world in ways that are even more disturbing than in Hollywood fantasies - but they also have the potential to change our lives for the better. In this stirring, visionary work, acclaimed roboticist Dr. Ayanna Howard explores how the tech world’s racial and sexual biases are infecting the next generation of Artificial Intelligence, with profoundly negative effects for humans of all genders and races.

Pandemics have killed at least a half billion people over the past two millennia. Today a new plague, COVID-19, is stalking humanity. But in the age of biotechnology, humanity is no longer defenseless. Biotechnology in the Time of COVID-19 is a collection of stories about the biotechnology industry - its purpose, its people and how it has risen to battle the COVID-19 virus - told by 47 leaders of that industry in their own words.

Will AI lead to the transformation of society as we know it, or bring about its destruction?

With artificial intelligence on the rise, the way we run our organisations will change - and drastically. But what exactly will that future look like? And who will take the leading role: Machines or people? In this compelling new audiobook, leading management guru David De Cremer identifies the key areas where algorithms will collide with human skills, and assesses the likely outcomes. The author presents fascinating insights into the challenges that an automated work environment poses for organisations of the future.

Are you new to machine learning and looking to eventually launch a career in Python? Do you want to learn how to do machine learning with Python but you have problems getting started? Machine learning is a subject that has quickly become popular in a wide range of domains, such as data science and artificial intelligence among others. The use of machine learning in these domains offers incredible opportunities. If you are just starting your career, this could just be the best decision you make. 

This follow-up to Bitcoin: Sovereignty Through Mathematics describes the old boxes we have been operating within, and how Bitcoin encourages us to challenge and reshape them. It takes the listener deeper down the rabbit hole and reveals how the honey badger that lives there is still indifferent to people's opinions about it.

Children's book author and podcast host Deontae Henderson offers information and insight on how to simply produce and monetize your very own podcast. In 2018, Deontae created a nationally recognized podcast, using just his cell phone and the Anchor app. With just his phone and the Anchor app Deontae was able to get his podcast "Just Deontae!" on major platforms like Google Play Music, Apple Podcasts, Google Podcasts, and Spotify.

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.

Machine learning is a new trending field these days and is an application of artificial intelligence. The main aim of machine learning is to create intelligent machines that can think and work like human beings. Python is a high-level scripting language. It is easy to learn and robust than other words because of its dynamic nature and simple syntax which allows small lines of code. Included indentation and object-oriented, functional programming make it simple.

The world is moving towards a jobless society (maybe not incomeless), ruled by intelligent machines, this can be a painful scenario for most of us or it can be an opportunity for all to thrive, getting rid of repetitive tasks, and freeing our time to grow. Learn the tricks of automation before it is too late and let’s rebuild together the partially de-globalized world during and in the aftermath of the Covid-19 Outbreak. The book is the result of over 30 years, exploring the edge of what is possible in science and technology by the serial entrepreneur David Vivancos.

Analytics of Life provides the listener with a broad overview of the field of data analytics and artificial intelligence. It provides the layperson an understanding of the various stages of artificial intelligence, the risks and powerful benefits. And it provides a way to look at big data and machine learning that enables us to make the most of this exciting new realm of technology in our day-to-day jobs and our small businesses.

Bienvenido a QualityLand, en un futuro no muy lejano. En QualityLand todo funciona bien: el trabajo, el ocio y las relaciones se optimizan mediante algoritmos.

En los últimos años China se ha convertido en una verdadera superpotencia de la IA y el único verdadero contrapeso nacional a Estados Unidos en esta tecnología emergente. Por ello, la forma en que estos dos países decidan competir y cooperar podría llegar a tener consecuencias dramáticas para la economía y la gobernabilidad mundial.

Hay una revolución en marcha, una tecnología prodigiosa que nos va a permitir curar enfermedades, derrotar virus y tener hijos más sanos. A su cabeza está la reciente premio Nobel Jennifer Doudna y sus colegas, protagonistas del nuevo libro de Walter Isaacson.

Künstliche Intelligenz und Digitalisierung sind in aller Munde. Dennoch können die wenigsten erläutern, was KI eigentlich genau ist. Unser bisheriges Verständnis reicht oft einfach nicht aus, um diese neuen Dimensionen zu erfassen. Die Folge sind inhaltslose Buzzwords und viele toll klingende Fachbegriffe, die keiner versteht. Stefan Holtel weiß: Es braucht keine technische Expertise, um diese Umwälzung zu begreifen, es fehlen meist nur die richtigen Wörter, Bilder und Beispiele, um künstliche Intelligenz zu fassen.