Are you confused about what all the rage behind artificial intelligence is and would like to learn more? This audiobook covers everything from machine learning to robotics and the internet of things. You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook. By the time you finish listening, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is.

If you want to learn key AI concepts to get you quickly up to speed with all things AI, then pay attention...This audiobook covers everything from machine learning to robotics and the internet of things. By the time you finish listening, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is. You will also learn a comprehensive history of AI, from the first invention of automations in antiquity to the driver-less cars of today.

Discover how to take advantage of the coming AI and neural networks revolution, set yourself up for success, and make your businesses future-proof with the definitive guide to artificial intelligence! In this guide, Melvin Doyle skips the fluff and gives a clear overview of the technology explained in plain, simple English. Your eyes will be opened to how AI is transforming the way business is done, as well as techniques and strategies to apply this cutting edge tech to your own businesses.

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....

Python Machine Learning is a guide to provide you with all the information required to master machine learning using Python. It will give you deep insight into methods of machine learning, deep learning, big data, data science, and more. Furthermore, it will also teach you concepts of Python and how combining machine learning with Python can result in practical solutions. The audiobook touches upon how these solutions can be applied in various fields including governance, technology, business, cybersecurity, and more.

Deep learning is a very exciting concept. Before, computers could only do what they were directly taught. Today, they can make sense of unstructured data and learn without supervision, like good college students. This unsupervised learning from unstructured data is called deep learning. This book will explain the key concepts of deep learning and teach you the basics of Python, the programming language most widely used in deep learning.

While you may have never thought of networking in detail, this book will introduce you to the basics of networking, the different types of networks available, the types of network topologies that you will encounter, the concept of server virtualization, and details of how to handle network breaches.

Given the large amounts of data we use everyday; whether it is in the web, supermarkets, social media etc., analysis of data has become integral to our daily life. The ability to do so effectively can propel your career or business to great heights. Machine learning is the most effective data analysis tool. While it is a complex topic, it can be broken down into simpler steps, as show in this audiobook. We are using Python, which is a great programming language for beginners. Python is a great language that is commonly used with machine learning.

If you've been following the news, you probably know that artificial intelligence is taking over. Self-driving trucks, face recognition, machines, and automatic cashiers are becoming the replacement for regular human beings. If you want to learn more about artificial intelligence, where it comes from, how some of it works, and what the future might look like, this audiobook is for you.

Do you want to learn about business intelligence but don't feel like reading a boring textbook? In the modern business world, the pace of action continues to quicken. Businesses need to be able to get actionable insights from their data in order to make the right decisions to act rapidly and effectively. In this audiobook, you will be introduced to the concept of business intelligence.

Do you want to understand what big data is all about, but you don’t get all the hype? Are you intrigued by the idea of building a career around big data and data science, but you just don’t understand it? If so, this audiobook could be what you are looking for. If you know nothing about big data now, you will come away with a good overview of the subject and how it integrates into the other hot technologies of the day widely adopted by business, such as artificial intelligence, predictive analytics, and machine learning.

In this book, Amy Webb reveals the pervasive, invisible ways in which the foundations of AI - the people working on the system, their motivations, the technology itself - is broken. Within our lifetimes, AI will, by design, begin to behave unpredictably, thinking and acting in ways which defy human logic. The big nine corporations may be inadvertently building and enabling vast arrays of intelligent systems that don't share our motivations, desires, or hopes for the future of humanity.

Did you know the value of data usage has increased job opportunities but that there are few specialists? These days, everyone is aware of the role data can play, whether it is an election, business, or education. But how can you start working in a wide interdisciplinary field that is occupied with so much hype? This audiobook presents you with a step-by-step approach to data science as well as secrets only known by the best data scientists.

Python programming has become a must-learn skill in the data science domain. It has evolved as the most preferred programming language for data-driven development because it is suitable for many data science tasks and is easy to learn compared to other programming languages. In short, Python is the closest programming language to fit the goal of a beginner and a great starting place.

Master Python machine learning even if you don’t have a tech background! Are you interested in starting a career in the IT industry, but worry that the market is overly saturated with programmers, engineers, and various specialists? Machine learning is currently the fastest growing IT sector. It’s an artificial intelligence branch and deals with building machines that can imitate humans and even adapt.

Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now - in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?

Artificial intelligence is changing our world faster than we can imagine, and it will impact every area of our lives. And this is happening whether we like it or not. You might have heard that many jobs will be replaced by automation and robots, but did you also know that at the same time a huge number of new jobs will be created by AI? This book covers many fascinating and timely topics related to artificial intelligence, including: self-driving cars, robots, chatbots, and how AI will impact the job market, business processes, and entire industries, just to name a few.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

The confluence of four technologies - elastic cloud computing, big data, artificial intelligence, and the internet of things - writes Siebel, is fundamentally changing how business and government will operate in the 21st century. Siebel masterfully guides listeners through a fascinating discussion of the game-changing technologies driving digital transformation and provides a roadmap to seize them as a strategic opportunity.

In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

In T-Minus AI: Humanity's Countdown to Artificial Intelligence and the New Pursuit of Global Power, author Michael Kanaan explains the realities of AI from a human-oriented perspective that's easy to comprehend. A recognized national expert and the U.S. Air Force's first Chairperson for Artificial Intelligence, Kanaan weaves a compelling new view on our history of innovation and technology to masterfully explain what each of us should know about modern computing, AI, and machine learning.

Many people today are so dazzled by the long-term potential for artificial intelligence that they overlook the much clearer and more immediate potential for a new form of "collective intelligence": the intelligence of groups of people and computers working together. In Superminds, Thomas Malone explains what we need to do to take advantage of this potential. Groundbreaking and utterly fascinating, Superminds will change the way you work - both with others and with computers - for the better.

When most of us think about artificial intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that artificial intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate.

As we use the Web for social networking, shopping, and news, we leave a personal trail. These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion.

This book predicts the decline of today's professions and describes the people and systems that will replace them. In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want doctors, teachers, accountants, architects, the clergy, consultants, lawyers, and many others to work as they did in the 20th century.