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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.

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.

Throughout this book, we’ll teach you the basics for how to program using the Python programming language, Python is an uncommonly outstanding language in a general sense because of basic understandability. Its uncluttered phonetic structure empowers new organizations to use this programming language viably. Besides, Python has an in-amassed word reference data structure, which makes it straightforward. Python in like manner joins raised level data forming, which constrains the length of the assistance code.

Data Science 2020 can help you go from novice to expert in no time at all. To keep up with this growing industry, one has to know all the ins and outs, be able to keep up with the fast-moving innovations, and really understand all the nuances of this field. If you’ve ever wanted to get a leg up in this competitive field, make yourself more marketable or vital to businesses, or have a vested interest in learning all there is to know about data science, this comprehensive guide will walk you through the process from beginning to end.

Este audiolibro te presentará el mundo digital. La ciencia de datos es uno de los campos más sorprendentes y de tendencia en la era digital. La ciencia de datos es lo que nos hace humanos como somos hoy. No se limita a las tecnologías controladas por computadora, este audiolibro lo guiará para visualizar los hechos digitales y las conexiones de nuestro cerebro con la ciencia de datos, cómo sacar conclusiones de información simple y cómo desarrollar patrones para comprender diferentes soluciones para un problema similar.

Artificial intelligence is the future, but it’s also a great opportunity today. You can use it to create incredible products with never seen before features. Probably, you are already using AI technologies in your everyday routine, and you don’t even know it! By the way, AI represents a significant opportunity if you want to grow your business or if you are searching for a new job, but it requires a solid background in terms of processes and technologies involved and, of course, you must fully understand how to implement AI in the business world.

When disaster strikes a cargo flight over the arctic, pilot Andre decides it's time to upload. He pays to have his brain sliced and scanned so his mind can live in the computerized, virtual world of Talespace. Since Talespace runs on the logic of a game, Andre takes full advantage. He becomes a high-flying pegasus learning the magic of the sky and battling monsters for the Night Queen. He's even in time for a fun little war.

Today, 91 percent of Python programmers are not quite prepared. This is what the IT companies say, according to a recent survey. Do you know why? The reason is that they have no notions of artificial intelligence. So, future programmers will no longer find work without having knowledge of this particular field that is constantly evolving.

Data science is the application of a combination of mathematical, statistical, analytical, and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is. The job of such a scientist is trending all over the world. The demand for such scientists is huge, more than the number of available candidates. Data science is a field of study that is growing at a fast pace. From big tech companies to E-commerce companies to websites and many others are now relying on data science.

Python is a high-level scripting language. It is easy to learn and more robust than other languages because of its dynamic nature and simple syntax, which allows small lines of code. Indentation and object-oriented, functional programming make it simple. Such advantages of Python makes it different from another language, and that's why Python is preferred for development in companies mostly. In industries, machine learning using Python has become popular. This is because it has standard libraries that are used for scientific and numerical calculations.