The Computer Science category has 133 audiobooks on Listento.it, with an average listener rating of 4★ across 570 ratings. The most-rated is Life 3.0.
Deep Learning for Beginners
Summary
If you are looking for a complete beginners guide to learn deep learning with examples in just a few hours, then you need to continue reading. This book delves into the basics of deep learning for those who are enthusiasts concerning all things machine learning and artificial intelligence. For those who have seen movies which show computer systems taking over the world like Terminator, or benevolent systems that watch over the population, like Person of Interest, this should be right up your alley. This book will give you the basics of what deep learning entails. That means frameworks used by coders and significant components and tools used in deep learning that enable facial recognition, speech recognition, and virtual assistance. Yes, deep learning provides the tools through which systems like Siri became possible. Discover: Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues. TensorFlow is the most popular tool and is used by corporate giants such as Airbus, Twitter, and even Google. The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. Facebook illustrates Caffe2 as one of the lightweight and modular deep learning frameworks, though TensorFlow is the most popular one, considering it has a lot of popularity, and thus, a big forum, which allows for assistance on main problems. The book considers several components and tools of deep learning such as the neural networks, CNNs, RNNs, GANs, and auto-encoders. These algorithms create the building blocks which propel deep learning and advance it. The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity. The Internet of Things is also represented here, as deep learning allows for integration of various systems via an artificial intelligence system, which is already being used for the home and car functions. And much more This book is probably one of the best books for beginners. It's a step-by-step guide for any person who wants to start learning deep learning and artificial intelligence from scratch. If you want to get started on deep learning and the concepts that run artificial technologies, don’t wait any longer. Download to get started today!
©2018 Steven Cooper (P)2018 Steven Cooper
Decoding Reality
Summary
For a physicist, all the world is information. The universe and its workings are the ebb and flow of information. We are all transient patterns of information, passing on the recipe for our basic forms to future generations using a four-letter digital code called DNA.In this engaging and mind-stretching account, Vlatko Vedral considers some of the deepest questions about the universe and considers the implications of interpreting it in terms of information. He explains the nature of information, the idea of entropy, and the roots of this thinking in thermodynamics.He also describes the bizarre effects of quantum behaviour - effects such as "entanglement", which Einstein called "spooky action at a distance", and explores cutting-edge work on harnessing quantum effects in hyperfast quantum computers, and how recent evidence suggests that the weirdness of the quantum world, once thought limited to the tiniest scales, may reach into the macro world.Vedral finishes by considering the answer to the ultimate question: where did all of the information in the universe come from? The answers he considers are exhilarating, drawing upon the work of distinguished physicist John Wheeler. The ideas challenge our concept of the nature of particles, of time, of determinism, and of reality itself.
©2010 Vlatko Vedral (P)2010 Audible, Inc.
Hacking with Kali Linux
Summary
Have you always been fascinated by the hackers on TV? Do you want to introduce yourself to the world of hacking? Do you know penetration testing is one of the fastest growing fields? If your answer to these questions is yes then keep reading... We’ve all seen countless hackers on our TV screens. They are everywhere in movies, TV shows, even commercials. In theory, hacking may seem simple. You guess someone’s password. You log into their email. Then you can go whatever you want. But it’s much more complicated than that. A problem that many aspiring hackers face when first starting out is selecting their first operating system. And a hacker without an operating system isn’t really a hacker at all. Operating systems are an essential part of mastering, or even just dipping into, the wide world of hacking. But how do you know which operating system to choose from? There are so many options out there, and it can be extremely overwhelming, especially if you’re just getting started. After all, you can’t be successful if you don’t know which architecture is the best for what you’re doing. Luckily for you, this audiobook tackles that issue, and it comes to a simple conclusion: Kali Linux. Kali Linux was made by hackers, for hackers, so there’s no doubt that it is a must-have piece of equipment for those just starting out and those who have been around the block a few times. So how exactly does it work? Well, this audiobook will teach you how to use it to accomplish exactly what you want to in your hacking career. It’s the best way to get into hacking. Best of all, we won’t assume you have any tech knowledge at all, so this audiobook truly is perfect for beginners! You will learn: What is hacking The importance of cybersecurity How malware and cyber-attacks operate How to install Kali Linux on a virtual box How to scan networks VPNs and firewalls An introduction to digital signatures and cryptography Hacking as a career And much more Follow me, and let’s dive into the world of hacking today! Don’t keep waiting to start your new journey as a hacker; get started now! Get this audiobook now to learn more!
©2019 Zach Codings (P)2019 Zach Codings
Hacking: Computer Hacking, Security Testing, Penetration Testing, and Basic Security
Summary
Are you interested in learning about how to hack systems? Do you want to learn how to protect yourself from being hacked? Do you wish to learn the art of ethical hacking? Do you want to know the secret techniques that genius hackers use? Do you want to learn how to protect yourself from some of the most common hacking attacks? Hacking is one of the most misunderstood cyber concepts. The majority of people think of hacking as something evil or illegal, but nothing could be farther from the truth. Indeed, hacking can be a real threat, but if you want to stop someone from hacking you, you must also learn how to hack! In this book, you will learn: The different types of hackers The different types of attacks The proven steps and techniques that the best hackers use Penetration testing Hacking Wi-Fi Hacking smartphones Hacking computers The countermeasures you need to protect yourself from hackers The future of hacking And much, much more! This book goes all the way from the basic principles to the intricate techniques and methods that you can use to hack. It is written to suit both beginners, as well as hacking experts. The book uses a language that beginners can understand, without leaving out the complex details that are necessary with hacking. This book is a great place to start learning how to hack and how to protect your devices. If you have been waiting for a book that can break it down for you so you can dive into the deep end seamlessly, grab a copy of this book today!
©2016 Open Spirit Publishing, LLC (P)2017 Open Spirit Publishing, LLC
Azure: Microsoft Azure Tutorial for Beginners
Summary
Quick-start guide for Microsoft Azure. Microsoft Azure is an incredibly versatile and powerful cloud service, but only if you know how to use it! Need to learn Azure fast? Microsoft Azure is a cloud service that can be used to for building, testing, and managing applications and services through a network of servers managed by Microsoft in various locations all over the world. When you understand how to use Azure, you unlock a world of computing power and possibilities. Get the most out of Azure simply by following the easy instructions fully explained inside this guide. It doesn’t matter if you have never used Azure before. This step-by-step guide gives you everything you need to know to do more with Azure than you ever thought possible! Fully up to date for 2018. The world of cloud services is changing constantly, and yesterday’s instructions are useless today. Save yourself the headache and frustration of trying to use a guide that just doesn’t work anymore! Brand new for 2018, this guide shows you exactly what you need to do to get up and running on Microsoft Azure today! Here is a preview of what you will learn in this guide: Infrastructure as a service (IaaS) Platform as a service (PaaS) Software as a service (SaaS) Public, private, and hybrid clouds Cloud computing and security issues The importance of geopolitics in cloud computing Overview of available Azure services Development with Azure Mobile services in Azure Azure storage services Data-management functions in Azure Messaging functions on Microsoft Azure Media services in Azure Azure's content-delivery network Developer tools in Azure Application management with Azure Machine learning capabilities in Azure Azure and the Internet of things (IoT) Design of Microsoft Azure Privacy and Microsoft Azure Creating a Windows virtual machine Creating a Linux virtual machine And so much more! If you aren’t a tech-savvy person, have no fear! With this guide in your hands, that will not be a barrier for you any longer. Learn Microsoft Azure quickly and easily when you grab this guide now!
©2018 Kennan Bismar (P)2018 Kennan Bismar
Ten Short Lessons in Artificial Intelligence and Robotics
Summary
Leading computer science expert Professor Peter J. Bentley breaks down the fast-moving world of computers in the time of automata into 10 pivotal lessons. In Ten Short Lessons in Artificial Intelligence and Robotics, leading expert Professor Peter J. Bentley breaks down the fast-moving world of computers in the time of automata into 10 pivotal lessons, presenting the listener with the essential information they need to get to grips with our most powerful technology and its remarkable implications for our species. From the origins and motivation behind the birth of AI and robotics, to using smart algorithms that allow us to build good robots, to the technologies that enable computers to understand a huge range of sensory information, including language and communication, to the challenges of emotional intelligence, unpredictable environments and imagination in artificial intelligence, this is a cutting-edge, expert-led guide for curious minds. About the series: the Pocket Einstein series is a collection of essential guides for anyone looking to understand a little more about some of the most relevant science that affects us all in the 21st century. Broken down into 10 simple lessons and written by leading experts in their field, discover the 10 most important takeaways from those areas of science we should all know more about.
©2020 Peter J. Bentley (P)2020 W. F. Howes Ltd
Before Disrupting Healthcare
Summary
Health information technology is a complicated space. Before Disrupting Healthcare provides a quick introduction to its foundational concepts and products with a look into emerging trends that may rule the future. In it you'll learn about topics like electronic health records, health information exchanges, accountable care organizations, and meaningful use regulation. Discover what they mean from a product perspective and how things might evolve. This is a must-listen for anyone working on, or investing in, health information technology products. Outsiders can use this audiobook to become insiders, and insiders can become experts.
©2016 Pallav Sharda (P)2016 Pallav Sharda
AIQ
Summary
"There comes a time in the life of a subject when someone steps up and writes the book about it. AIQ explores the fascinating history of the ideas that drive this technology of the future and demystifies the core concepts behind it; the result is a positive and entertaining look at the great potential unlocked by marrying human creativity with powerful machines." (Steven Levitt, co-author of Freakonomics) From two cutting-edge data scientists comes a fascinating audiobook that tells listeners what they need to know in order to understand how intelligent machines are changing the world and how we can use this knowledge to make better decisions in our own lives. Dozens of times per day, we all interact with intelligent machines that are constantly learning from the wealth of data now available to them. These machines, from smart phones to talking robots to self-driving cars, are remaking the world of the 21st century in the same way that the Industrial Revolution remade the world of the 19th century. AIQ, by Nick Polson and James Scott, is based on a simple premise: If you want to understand the modern world, then you have to know a little bit of the mathematical language spoken by intelligent machines. AIQ will teach listeners that language - but in an unconventional way, anchored in stories rather than mathematics. Listeners will meet a fascinating cast of historical characters who have a lot to teach about data, probability, and better thinking. Along the way, listeners will see how these same ideas are playing out in the modern age of big data and intelligent machines - and how these technologies will soon help them to overcome some of their built-in cognitive weaknesses, giving them a chance to lead happier, healthier, more fulfilled lives. PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio.
©2018 Nicholas Polson and James Scott (P)2018 Macmillan Audio
Machine Learning Mathematics
Summary
Master the world of machine learning - even if you’re a complete beginner. Are you an aspiring entrepreneur? Or are you an amateur software developer looking for a break in the world of machine learning? Then this is the book for you. Machine learning is the way of the future - and breaking into this highly lucrative and ever-evolving field is a great way for your career, or business, to prosper. Inside this guide, you’ll find simple, easy-to-follow explanations of the fundamental concepts behind machine learning, from the mathematical and statistical concepts to the programming behind them. With a wide range of comprehensive advice including machine learning models, neural networks, statistics, and much more, this guide is a highly effective tool for mastering this incredible technology. Inside, you will: Learn the fundamental concepts of machine learning algorithms, and their impact in resolving modern day business problems Understand the four fundamental types of machine learning algorithm Master the concept of “statistical learning”, a descriptive statistics-based machine learning algorithm Dive into the development and application of six of the most popular supervised and unsupervised machine learning algorithms, with details on linear regression, logistic regression and more Learn everything you need to know about neural networks and data pipelines Master the concept of “general setting of learning”, a fundamental of machine learning development Overview the basics, importance, and applications of data science with details on the “team data science process” lifecycle And much more! Covering everything you need to know about machine learning, now you can master the mathematics and statistics behind this field and develop your very own neural networks! Whether you want to use machine learning to help your business, or you’re a programmer looking to expand your skills, this book is a must-read for anyone interested in the world of machine learning. Buy now to discover how you can master machine learning today! Scroll up and click the "buy now" button to get your copy!
©2019 Samuel Hack (P)2019 Samuel Hack
Deep Learning
Summary
Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning-major trends, possible developments, and significant challenges.
©2019 Massachusetts Institute of Technology (P)2019 Gildan Media
A Brief History of Artificial Intelligence
Summary
From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: artificial intelligence The somewhat ill-defined long-term aim of AI is to build machines that are conscious, self-aware, and sentient; machines capable of the kind of intelligent autonomous action that currently only people are capable of. As an AI researcher with 25 years of experience, professor Mike Wooldridge has learned to be obsessively cautious about such claims, while still promoting an intense optimism about the future of the field. There have been genuine scientific breakthroughs that have made AI systems possible in the past decade that the founders of the field would have hailed as miraculous. Driverless cars and automated translation tools are just two examples of AI technologies that have become a practical, everyday reality in the past few years, and which will have a huge impact on our world. While the dream of conscious machines remains, Professor Wooldridge believes, a distant prospect, the floodgates for AI have opened. Wooldridge's A Brief History of Artificial Intelligence is an exciting romp through the history of this groundbreaking field - a one-stop-shop for AI's past, present, and world-changing future. A Macmillan Audio production from Flatiron Books PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2021 Michael Wooldridge (P)2021 Macmillan Audio
AI and Genius Machines
Summary
In science fiction, artificial intelligence takes the shape of computers that can speak like people, think for themselves, and sometimes act against us. Reality of course is vastly different, though in many ways computers surpass their fictional counterparts. This book reviews work in the field and covers topics from chess-playing to quantum computing. The writers tackle how to make computers more powerful, how we define consciousness, what the hard problems are, and even how computers might be built once the limits of silicon chips have been reached.
©2017 Scientific American, a division of Nature America, Inc. Scientific American is a registered trademark of Nature America, Inc. (P)2020 Blackstone Publishing
Artificial Intelligence for Beginners
Summary
Are you keen on new technologies and what they have to offer you? Are you constantly looking to keep up to date with the latest tech trends? Are you savvy and knowledgeable in the world of artificial intelligence and robotics? Are you a student of all things technological? If you can relate to any of these questions, the here is the audiobook for you. In Artificial Intelligence for Beginners: Easy to Understand Guide of AI, Data Science and Internet of Things. How to Use AI in Practice? Revelations of AI Superpowers Explained for the Real World you will find a trove of information that will help you further your understanding of the world artificial intelligence, data, and the internet of things. This audiobook will provide you with the knowledge you are looking for in an easy to follow format. So, whether you are an expert on the topic or a relative novice, you will find all of the information you need on this topic in a single volume. Best of all, your knowledge and understanding of these topics will grow over time. Here is a sample of what you can expect to find in this volume: A thorough introduction to basic terminology and concepts pertaining to artificial intelligence A starter’s guide into the world of robotics (including the three laws) How to use software programming to make predictions and intelligent decisions The various types and classifications of AI How software can be used to aid human cognition Careers in the field of artificial intelligence How to apply AI in real life A walkthrough of data science An introduction to the Internet of Things The future perspective of AI among the world’s leading nations. And so much more! If you are curious about learning more about this topic, but don’t really have a sense about it, don’t worry. This audiobook is intended to take you from the couch to a full immersion in the world of AI, robotics, software and how all of these items can be deployed in real life. Best of all, there aren’t any esoteric terms here. Everything is written in such a way that you won’t have to struggle with complex technical jargon. So, what are you waiting for? The technological revolution is in full swing. We are all on this journey together. That is why it is so important to learn as much as we can about what to expect in the coming future. If we are ready for is coming, we can surely use it to our advantage. Those who don’t take the time to learn about these matters, will find themselves lagging behind. Are you looking to get ahead of the game? Then come inside and learn about how you can use the power of AI to transform your life. Who knows, you might even make the world’s next important discovery. Please bear in mind that all of this starts at some point in the road.
©2019 Jeff Mc Frockman (P)2020 Jeff Mc Frockman
The Art of Deception
Summary
The world's most infamous hacker offers an insider's view of the low-tech threats to high-tech security. Kevin Mitnick's exploits as a cyber-desperado and fugitive form one of the most exhaustive FBI manhunts in history and have spawned dozens of articles, books, films, and documentaries. Since his release from federal prison, in 1998, Mitnick has turned his life around and established himself as one of the most sought-after computer security experts worldwide. Now, in The Art of Deception, the world's most notorious hacker gives new meaning to the old adage, "It takes a thief to catch a thief." Focusing on the human factors involved with information security, Mitnick explains why all the firewalls and encryption protocols in the world will never be enough to stop a savvy grifter intent on rifling a corporate database or an irate employee determined to crash a system. With the help of many fascinating true stories of successful attacks on business and government, he illustrates just how susceptible even the most locked-down information systems are to a slick con artist impersonating an IRS agent. Narrating from the points of view of both the attacker and the victims, he explains why each attack was so successful and how it could have been prevented in an engaging and highly readable style reminiscent of a true-crime novel. And, perhaps most importantly, Mitnick offers advice for preventing these types of social engineering hacks through security protocols, training programs, and manuals that address the human element of security. PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2003 Kevin D. Mitnick (P)2009 Tantor Audio
Heart of the Machine
Summary
Imagine a robotic stuffed animal that can read and respond to a child's emotional state or a commercial that can change based on a customer's facial expression. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our lives, and their advances continue at an exponential rate. Many believe that artificial intelligence equal or superior to human intelligence will happen in the not-too-distance future. Futurist Richard Yonck argues that emotion, the first, most basic, and most natural form of communication, is at the heart of how we will soon work with and use computers. Instilling emotions into computers is the next leap in our centuries-old obsession with creating machines that replicate humans. But for every benefit this progress may bring to our lives, there is a possible pitfall. Emotion recognition could lead to advanced surveillance, and the same technology that can manipulate our feelings could become a method of mass control. Heart of the Machine is an exploration of the new and inevitable ways in which mankind and technology will interact.
©2017 Richard Yonck (P)2017 Tantor
Robot Rules
Summary
This audiobook explains why AI is unique, what legal and ethical problems it could cause, and how we can address them. It argues that AI is unlike any other previous technology, owing to its ability to take decisions independently and unpredictably. This gives rise to three issues: responsibility - who is liable if AI causes harm; rights - the disputed moral and pragmatic grounds for granting AI legal personality; and the ethics surrounding the decision-making of AI. The audiobook suggests that in order to address these questions we need to develop new institutions and regulations on a cross-industry and international level. Incorporating clear explanations of complex topics, Robot Rules will appeal to a multidisciplinary audience, from those with an interest in law, politics, and philosophy, to computer programming, engineering, and neuroscience.
©2019 Jacob Turner (P)2020 Gildan Media
Solomon's Code
Summary
As thinking machines make more decisions on our behalf, they can enrich, enable, and influence our lives. Whether in medicine, money, or love, technologies powered by forms of artificial intelligence are playing an increasingly prominent role in our lives. How do we ensure they make the most beneficial choices for us? And if one person benefits at another's expense, who gets to decide what's best? The increasing use of AI raises critical questions about our values, cultures, economies, and power relationships. And the answers may depend upon your race, gender, age, behavior, and nationality.
In clear and accessible prose, Olaf Groth and Mark Nitzberg explore the history of intelligent technology, revealing how close we are to designing machines that have some sort of consciousness - and that we must now decide how to give those machines a conscience. Simultaneously thrilling and provocative, Solomon's Code raises difficult questions that need to be considered given the speed of technological development.
©2018 Dreamscape Media, LLC (P)2018 Dreamscape Media, LLC
Robotics
Summary
If you want to learn about robotics, then pay attention Robotics is slowly creeping into our lives, and soon, robots will be everywhere. Do you know everything there is to know about robotics? Do you want to know more about robotics? Do you want to discover the advantages of robotics? If so, then you've come to the right place. In this audiobook, you will learn everything you need to know about robotics as a beginner: The basics of robotics and what some of the advantages and disadvantages are. Reasons that experts are trying to warn us about robots. Myths about robots and the actual truth. Robotic Process Automation and how it relates to robotics. Mobile robots and how they have changed throughout the years. Artificial Intelligence and how it can be tied to robotics. Machine learning and how robots use it. Autonomous vehicles and how they work. How robots use speech recognition. Drones – what they are and how they work. How robots are being used in business and how they could take your job. Answers to frequently asked questions about robotics. And much, much more! If you want to learn more about robotics, then scroll up and click “add to cart”!
©2019 Neil Wilkins (P)2019 Neil Wilkins
Turning Text into Gold
Summary
In our distant past, we attempted to create wealth by turning everyday substances into gold. This was early alchemy, and ultimately it did not work. But the world has changed. Today we have a type of "modern alchemy" that really can create gold. We can transform voluminous text into a wealth of knowledge. Text is a common fabric of society, yet it is still challenging for our technology to make sense of text. This is where taxonomies can help. In this book, Bill Inmon will introduce you to the concept of taxonomies and how they are used to simplify and understand text. We emphasize the practical aspects of taxonomies, and the subsequent usage of taxonomies as a basis for textual analytics. This book is for managers who have to deal with text, students of computer science, programmers who need to understand taxonomies, systems analysts who hope to draw business value out of a body of text, and especially those who are struggling to decode data lakes. Hopefully for those individuals (and many more), this book will serve as both an introduction to taxonomies and a guide to how taxonomies can be used to bring text into the realm of corporate decision-making. This book will introduce you to the world of taxonomies, as well as explore: Simple and complex taxonomies Ontologies Obtaining taxonomies Changing taxonomies Taxonomies and data models Types of textual data Textual analytics In addition, several case studies are presented from industries as diverse as banking, call centers, and travel.
©2017 Bill Inmon (P)2017 Technics Publications
Machine Learning and Artificial Intelligence
Summary
Do you want to learn how machine learning and AI can be applied in practice and be compatible with human behavior in modern times? If yes, then keep reading... Machine learning is a data-driven approach. Hence, it implies the availability of large datasets in order to make accurate decisions. The way a machine learning approach works is that a modeler develops a learning algorithm. Then the modeler feeds the learning algorithm with the data and information. The algorithm learns by itself from the data with no guidance or human interference. If the data provided for the algorithm is of poor quality and biased, even the system will be. Hence, cleaning and acquiring the right data to solve a problem with machine learning problem is very crucial. Could turning important decisions over to AI help humanity? Some might say that's a terrible idea, but how much worse is it today where we've turned over our societies and civilizations to corrupt leadership, crony capitalism, or had to deal with rogue nation states in other parts of the world with two bit dictators, religious fanaticism, or the quest to destroy another group of peoples' civilization? Perhaps, it's time we came up with a special think tank that could go through all the issues concerning our fears and what we hope to expect from AI decision-making machines. That is to say how to get the best possible answer all the time with the greatest probability. This audiobook gives comprehensive information on the following chapters: Correlation Between Machine Learning and Artificial Learning The Era of Evolution Machine Learning and Artificial Intelligence in Practice Self-Driving Cars Robots and How They Will Change Our Lives Machine Learning, Artificial Intelligence and IoT Ethics of Artificial Intelligence Artificial Intelligence and Privacy Is Artificial Intelligence Dangerous? Will Humans and Artificial Intelligence Live Together in Future? And more! Wake up and listen now!
©2020 Chris Neil (P)2020 Chris Neil