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.
Tensorflow Machine Learning
Summary
Are you interested in learning machine learning and deep learning? TensorFlow is the single most popular library available today. Offering some of the very best graph computations, TensorFlow helps data scientists in designing neural networks using a cool feature called TensorBoard. It has support for both recurrent neural networks (RNNs) and convolution, as well as parallel processing support on GPU and CPU. While TensorFlow is an incredibly important machine and deep learning library, we also give you an introduction to three others - NumPy, Pandas, and Scikit Learn. I have produced a hands-on guide, with plenty of code examples for you to follow along with. Here’s what you will learn: What deep learning is The difference between deep learning and machine learning What TensorFlow is How to install it on Windows and Mac The basics of TensorFlow Using TensorBoard About NumPy, Scikit Learn, and Pandas About linear regression Kernel methods Building an artificial neural network using TensorFlow TensorFlow image classification TensorFlow autoencoders Much more If you are already proficient at programming in Python and are ready to take the next step into machine learning, this guide is for you. Scroll up, hit that "Buy Now" button, and set off on a brand-new machine learning journey.
©2020 Benjamin Smith (P)2020 Benjamin Smith
Artificial Intelligence for Business
Summary
Do you want to learn how artificial intelligence can be applied in your company, in marketing, and how AI is revolutionizing our life in healthcare and medicine? If yes, then keep reading.... What comes to your mind when you hear the word artificial intelligence (AI)? Perhaps you think of a science fiction movie from the likes of Orson Scott Card or other famed authors. Maybe you're thinking of Transformers or Wall-E from Disney. The Disneyization of AI has made it seem like it's a world of pure fantasy that only exists within the human imagination. However, the reality is that we are not far away from using AI in everyday life. Our use of AI continues to increase with each passing year. As we use Amazon, streaming music devices, and other AI that predicts our choices, we realize that machines and technology are starting to permeate every aspect of our existence. Our mobile devices also come with features that include AI. It is believed by many, at least by people who are paying attention, that artificial intelligence will be the thing that distinguishes the world of the future from the world we live in today. Artificial intelligence has already become ubiquitous in ways that people do not realize. Sure, many men and women can point to technologies like Alexa and Siri that make their lives easier, but the average person is not aware that all aspects of modern-day life are being impacted by AI. What this means for the smart, savvy business person is that there are many potential business applications for AI in the world of tomorrow that are waiting for the right person to open that door. This audiobook will contain helpful and concise chapters on AI topics, which can be applied to the business. If you want to enjoy all the discoveries that you can find in this audiobook, buy your audio now!
©2020 Chris Neil (P)2020 Chris Neil
The Year in Tech, 2021
Summary
From the latest applications of AI to blockchain-enabled business models to 5G networks, the most important technological innovations of the past year are reshaping the present and future of business. What should you and your company be doing now to take advantage of the new opportunities they are creating? The Year in Tech, 2021: The Insights You Need from Harvard Business Review will help you understand today's most essential thinking on these topics, what the latest tech innovations mean for your organization, and how you can use them to compete and win in the new landscape of business. Business is changing. Will you adapt or be left behind? Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues - blockchain, cybersecurity, AI, and more - each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas - and prepare you and your company for the future.
©2020 Harvard Business School Publishing Corporation (P)2020 Gildan Media
Artificial Intelligence: A Modern Approach
Summary
Artificial intelligence is a phrase that carries with it heavy connotations. Although artificial intelligence is nothing more than the capacity for logic and understanding that machines can exhibit, in the minds of most Americans artificial intelligence is almost a Pandora’s box that, when opened, will eventually signal the human race’s doom....
The idea that machines pose an existential threat to human beings has been around for at least 60 years. It goes something like this: intelligent machines eventually realize the uselessness of human beings and turn against their creators. Or this: intelligent machines reduce human to cattle or even food after a dramatic war that human beings lose.
Human beings have created countless languages and writing systems that have allowed us to expand collective human knowledge over a period of thousands of years. Much of the knowledge that we utilized today, knowledge about the math, science, and the stars, originates from observations made thousands of years ago but which were recorded by writing systems, allowing this knowledge to be preserved and passed down.
Artificial intelligence has been used for many business, financial, medical, and other applications, and scientists and researchers are actively studying how these applications can be expanded to make human life simpler.
The applications of AI will be explored in this book, both the real applications to business, finance, medicine, and health and the theoretical applications. Even the sensational, perhaps exaggerated applications of AI will be explored in the context of taking a look at how AI may potentially be applied in the future. The purpose of this discussion is for the reader to understand what AI is by understanding how it is used.
Artificial intelligence is certainly a blessing at this point, but the reality that it may become a curse is not lost on some people. Understanding the full implications of AI requires a deep knowledge of what it is and where it came from.
For companies and businesses to take advantage of AI-powered and improved interactions, the conversation has to begin inside the organization. Leaders are supposed to start with the available channels and improve their smartness. From that point, they are supposed to ask key questions about engagements with customers and employees.
Here is a preview of what you will learn....
Brief history of artificial intelligence
The state of art of machine learning
Artificial neural networks applied to machine learning
How can we build an AI-ready culture
Our daily lives with AI
And more....
Would you like to know more?
Scroll to the top of the page and buy this audiobook now.
©2019 Chris Baker (P)2019 Chris Baker
Tensorflow Machine Learning
Summary
Machine learning is an emerging field in the discipline of computer science. The possibilities are virtually endless and the things we can achieve with machine learning bridge the gap between reality and science fiction. If you are one of those people who developed an interest and learned the basics of machine learning and want to improve your foundation, then this is the right book for you. Here’s a list of some of the distinct features of this book that set it apart from others: This book includes a comprehensive and detailed explanation of the concepts. No chapter has idle talk. Every line in this book has been written while keeping the convenience and interest of the listener in mind. This book features some really cool tips and tricks that build upon some very basic and fundamental practices of machine learning. Using these tips and tricks will help increase the productivity of your models. Each topic addresses some of the most important issues that users experience when working with machine learning. For instance, in the later parts of this book, after discussing deep learning, we shift our focus towards the main challenges that arise when creating and implementing a complex and large deep neural network. This book aims to give listeners a productive listening session. In order to accomplish this, each chapter has fragmented sections that highlight interesting topics. Furthermore, the chapter layout guides the listener through the many concepts of machine learning very easily. If you’re interested in tips and tricks to machine learning with the use of scikit-learn, keras and Tensorflow, then click the "Buy Now" button to get started today!
©2020 Benjamin Smith (P)2020 Benjamin Smith
Machine Learning for Beginners
Summary
If you think that machine learning has become too broad and challenging to begin learning, then Machine Learning for Beginners is the book you have been waiting for. The extent of how extensive deep learning has become does not matter, but understanding the essentials initially provides the building blocks to ascertain your knowledge in machine learning. Everyone agrees that machine learning is a broad topic with several components. However, having a strong foundation of what it encompasses plays a crucial role in what it entails, in general. Machine learning uses a similar technique of how we think and conduct our daily lives with most of the activities controlled by the brain. When we adopt this concept, the chances are that you are likely to understand what machine learning is, especially what deep learning is all about. That said, inside this book, you will find valuable information, specifically designed to build your knowledge about machine learning. With the changing world mostly into making, machines learn human behaviors. You do not wish to be left behind but move with the industry. Before venturing deeper into machine learning, the book highlights the fundamental concepts of machine learning. You should initially understand the basic components or rather the terms and central aspects of the machines and some of the types of machine learning algorithms. Besides, the book provides a brief tutorial of how machine learning techniques are conducted. More so, it is vital to understand the benefits of machine learning in real life to enhance your interest in this field of computing. As such, inside, you will find some of the applications of machine learning in different areas, especially in simplifying things and making technology more straightforward. Technology may become confusing with almost similar multidisciplinary elements of computing; the book, therefore, highlights the differences between machine learning, deep learning, data science, and cognitive computing, among others. You will also learn about some of the examples of deep learning and when to avoid the utilization of machine learning, especially when it is harmful or prone to cause destruction. With different machine learning algorithm out there, you will have to learn about them also entailed in this book. Some may wonder how machines simulate human behaviors and other responses without being programmed, whereas others may think that machines imitation of how we react to events is made possible through magic. This book Machine Learning for Beginners provides an answer to these questions and beliefs detailing how scientists have made this learning practical where it seemed impossible. Inside the audiobook, you will find: Definition of machine learning and its comparison to programming or code use when setting computer instructions The basics of machine learning including the vocabularies used, components, and types of algorithms Explanation of how machines learn and when to avoid using machine learning as a tool for solving problems Paradigms and algorithms of machine learning Similarities, differences, and relationships between data science, machine learning, deep learning, artificial learning, and cognitive computing Basic statistics and probability theory of machine learning Building blocks of machine learning and technical requirements of deep learning Applications of machine learning and how they improve our societies as well as some of the examples of deep learning in real life And more... Click on the "buy now" button to get started.
©2020 Jeff Mc Frockman (P)2020 Jeff Mc Frockman
Artificial Intelligence and Machine Learning for Business
Summary
Do you want to learn about artificial intelligence and machine learning and how they are revolutionizing life, health care, business and marketing? Do you want apply them to your business? Artificial intelligence technology has become so common that many people do not realize that AI is already a part of their lives. Businesses use AI in many realms, including predictive analytics, product pricing, and marketing. In healthcare, artificial intelligence can be used in medical image analysis, language processing in dictation, and automated healthcare services. Because of machine learning capabilities in AI, any data that artificial intelligence is provided with can be used to learn and to make new, unexpected predictions, and recommendations. In this audiobook, the listener will understand not only how AI works, but will also learn how machine learning is revolutionizing the industry. Although artificial intelligence can be complex, AI technology does not have to be a daunting subject. Understanding artificial intelligence requires a basic understanding of how machines can be programmed to think like humans. It is no surprise that AI is revolutionizing most areas of industry. Big tech companies have been on the forefront of AI because of their large amounts of data and their brain power in the form of machine learning teams, but anyone can learn how to use artificial intelligence to accomplish a basic business goal. You will learn: How machine learning works AI models and networks AI applied to complicated tasks How apply AI to your marketing How AI is changing business The secret of big tech companies Even if you don't know anything about artificial intelligence and machine learning you can learn how they can improve your business.
©2019 John Medicine (P)2019 John Medicine
L'Intelligence artitificelle n'existe pas
Summary
Le document rare et l'incroyable parcours d'un inventeur français, qui à l'âge de neuf ans avait déjà construit un robot pour faire son lit et a ensuite été l'un des deux créateurs de Siri. Son objectif ici : tordre le cou aux idées reçues et aux fantasmes qui entourent l'IA aujourd'hui. Vous ne comprenez rien à l'intelligence artificielle (IA) ? Vous avez peur que de méchants robots prennent le pouvoir et finissent par contrôler le monde ? Vous vous intéressez à l'IA et aux nouvelles technologies, mais vous aimeriez entendre un autre son de cloche ? Alors ce livre audio est pour vous ! "Tout est parti d'un immense malentendu. En 1956, lors de la conférence de Dartmouth, John McCarthy a convaincu ses collègues d'employer l'expression "intelligence artificielle" pour décrire une discipline qui n'avait rien à voir avec l'intelligence. Tous les fantasmes et les fausses idées dont on nous abreuve aujourd'hui découlent de cette appellation malheureuse. Dans ce livre audio, je vous invite à me suivre, de mon petit village près de Toulouse à la Silicon Valley, sur les traces de cette fameuse "intelligence artificielle" à propos de laquelle on entend dire tant de bêtises, pour comprendre de quoi il s'agit exactement et anticiper ce qu'elle peut nous réserver à l'avenir. Car aujourd'hui je l'affirme haut et fort : l'intelligence artificielle n'existe pas !" Dr. Julia Luc est l'un des deux créateurs de l'assistant vocal d'Apple, Siri. Il est aujourd'hui Senior Vice-président et Chief Technical Officer du tout nouveau laboratoire d'intelligence artificielle de Samsung (SAIL) à Paris.
©2019 Edi8 (P)2020 Audible Studios
YouTube: Ultimate YouTube Guide to Building a Channel, Audience and to Start Making Passive Income
Summary
Discover Ways to Become a Self-Made YouTube Millionaire. Plan. Create. Upload. Earn. It is known to all that the YouTube industry has become so popular, it is widely used by normal people just like you and me. Ever heard of Michelle Phan? Well, if you haven't yet, she's one of the youngest millionaires who started her empire by kicking it off using her own YouTube channel! What happened next was a series of endless favorable outcomes that followed one after the other. Way back, YouTube wasn't really that popular in terms of its capacity to increase cash flow. However, over the years, its additional advantage slowly came out of hiding, and the majority is now utilizing it. In this book, you'll learn the many advantages of using this social media platform. It will show you how it can be your source of income and teach you how you can convert your passion and ideas into cash! Do you want to know what you can get from this book? Well, sure you do! Here are seven topics that are discussed: All about YouTube Earning money from YouTube Benefits of using YouTube for business Maximizing profits Marketing Ads for monetizing on YouTube Tips for using YouTube for business Now is the time to get out of the dark and see the light!
©2015 Andrew Mckinnon (P)2016 Andrew Mckinnon
Artificial Intelligence Business Applications
Summary
Do you want to modernize your business and to be ahead from competitors by applying Artificial Intelligence to it? Want to learn the strategies to do that? If so then keep reading.
Artificial intelligence technology has progressed so fast that many business leaders find themselves faced with the task of integrating all this new tech into how they do business. This can a challenge for leaders and others whose core business function is not directly related to artificial intelligence or computer science. This makes artificial intelligence an often-daunting subject for many people noticing the AI changes around them, but this does not have to be an overwhelming subject. Artificial intelligence can be simply applied to business marketing strategies, social media engagement, and a host of other business functions.
These AI applications can be accomplished no matter what the skill level of the user is. Artificial Intelligence Business Applications: A New Approach to AI and Machine Learning in Modern Business and Marketing, for Beginners and Advanced will teach listeners how they can benefit from the AI wave to keep themselves and their business endeavors up to date. The benefits of users to keeping on track of AI changes is obvious. AI allows businesses to link their data to AI, which can allow the business and the technology to evolve together. Business leaders are faced left with the question of how to bring artificial intelligence into their business, and sometimes this is as simple as recording data measures electronically so that AI can access it and use it to make powerful recommendations.
As the intelligence demonstrated by machines, AI will become more prominent and important as AI capabilities increase. From a practical standpoint, this means that businesses are faced with the reality of incorporating AI into their operations now or face being left so far behind that they will be relegated to playing an endless game of catchup. In Artificial Intelligence Business Applications: A New Approach to AI and Machine Learning in Modern Business and Marketing, for Beginners and Advanced, listeners will learn not only the business strategies they can use to keep up with artificial intelligence, but the many powerful applications that AI can have in business, from automation of business processes and machine learning, to predicting customer behavior and product pricing.
You will learn:
What Business Leaders Need To Know About AI
Insights into AI Systems
The most important thing in AI
How to build AI strategies for your business
How to build Machine Learning Models
How to apply AI to Marketing and Social Media
10 AI Trends for Businesses
Even if you are a complete beginner, your education in artificial intelligence, so that you can use it to accomplish all of your business goals, begins here.
Get this audiobook today.
©2019 John Medicine (P)2019 John Medicine
Python - The Bible: 3 Manuscripts in 1 Book
Summary
This box set includes three books: Python Programming for Beginners - Learn the Basics of Python in 7 Days! Python Programming for Intermediates - Learn the Basics of Python in 7 Days! Python Programming for Advanced - Learn the Basics of Python in 7 Days! Python Programming for Beginners - Learn the Basics of Python in 7 Days! Here's what you'll learn from this book: Introduction Understanding Python: A Detailed Background How Python Works Python Glossary How to Download and Install Python Python Programming 101: Interacting with Python in Different Ways How to Write Your First Python Program Variables, Strings, Lists, Tuples, Dictionaries About User-Defined Functions How to Write User-Defined Functions in Python About Coding Style Practice Projects: The Python Projects for Your Practice Python Programming for Intermediates - Learn the Basics Of Python in 7 Days! Here's what you'll learn from this book: Shallow Copy and Deep Copy Objects and Classes in Python - Including Python Inheritance, Multiple Inheritances, and so On Recursion in Python Debugging and Testing Fibonacci Sequence (definition) and Monitization in Python Arguments in Python Namespaces in Python and Python Modules Simple Python Projects for Intermediates Python Programming for Advanced - Learn the Basics of Python in 7 Days! Here's what you'll learn from this book: File management Python Iterator Python Generator Regular Expressions Python Closure Python Property Python Assert Simple Recap Projects Start Coding Now! PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2019 Maurice J. Thompson (P)2019 Maurice J. Thompson
Neural Networks
Summary
If you are looking for a complete beginners guide to learn neural networks with examples in just a few hours, then you need to continue reading. Have you noticed the increasing prevalence of software that tries to learn from you? More and more, we are interacting with machines and platforms that try to predict what we are looking for. From movie and television show recommendations on Netflix based on your taste to the keyboard on your smartphone trying to predict and recommend the next word you may want to type, it's becoming obvious that machine learning will definitely be part of our future. If you are interested in learning more about the computer programs of tomorrow then Understanding Neural Networks – A Practical Guide for Understanding and Programming Neural Networks and Useful Insights for Inspiring Reinvention is the book you have been waiting for. Learn: The history of neural networks and the way modern neural networks work How deep-learning works The different types of neural networks The ability to explain a neural network to others, while simultaneously being able to build on this knowledge without being completely lost How to build your own neural network An effective technique for hacking into a neural network Some introductory advice for modifying parameters in the code-based environment And much more! You'll be an Einstein in no time! And even if you are already up to speed on the topic, this book has the power to illustrate what a neural network is in a way that is capable of inspiring new approaches and technical improvements. The world can't wait to see what you can do! Most of all, this book will feed the abstract reasoning region of your mind so that you are able to theorize and invent new types and styles of machine learning. So, what are you waiting for? Download to get started today, and learn everything you need to know in no time!
©2018 Steven Cooper (P)2018 Steven Cooper
A Guide to System Design Interviews
Summary
Do not go for a system design interview without listening to this book.... Things are getting complicated nowadays, and the job space is not immune. Why waste your chance of getting a job as a system designer after you have managed to get an invite? This is the whole essence of this guide; to give you another chance to land that dream job as a system designer for a top tier firm. This guide discusses the basic tips to axe your next interview, while giving you real life interview questions with solutions. System designer is not about cramming how to design YouTube or Facebook as one question might throw you out of the window if you try to cram to your interview venue. This is why this guide talks about how you can tackle various design questions and provide tips for you to design your own product yourself. Other critical information you will get in this guide include: How to get system design interview questions right Some typical system design examples Dos and don't during system design interviews Question from how to design a chat system like Whatsapp Questions on high-level design Questions on data models Questions on design deep dive Questions on service discovery Questions on message flows Questions on small group chat flow Questions on designing a URL shortening service Questions on system functional requirements Questions on capacity estimation Questions on API design Questions on database design Questions on cache Questions on designing a video streaming platform like YouTube Getting to understand the problem and establish your design scope Questions on designing dropbox Questions on designing Twitter Discuss about the core features Things you need to know before your next system design interview And lots more Scroll up, and click the BUY button to get started.
©2020 Carl Jones (P)2021 Carl Jones
Artificial Intelligence for Business
Summary
If you want to understand how AI can improve your business and the different ways to apply it to your business, you want to learn how to build different businesses and marketing strategies, machine learning models, develop an Enterprise AI strategy, know the 10 best AI trends for businesses or you tried to automate your business without results...then the protocol inside this audiobook is your answer. Businesses use AI in many realms, including predictive analytics, product pricing, and marketing. In healthcare, artificial intelligence can be used in medical image analysis, language processing in dictation, and automated healthcare services. Because of machine learning capabilities in AI, any data that artificial intelligence is provided with can be used to learn and to make new, unexpected predictions and recommendations! Big tech companies have been on the forefront of AI because of their large amounts of data and their brain power in the form of machine learning teams. AI can be simply applied to your business marketing strategies, social media engagement, and a host of other business functions. Businesses are faced with the reality of incorporating AI into their operations now or being left so far behind that they will be relegated to playing an endless game of catchup. In Artificial Intelligence for Business: A Modern Business Approach you will learn: How machine learning works AI models and networks How apply AI to your marketing The secret of big tech companies How to build AI strategies for your business How to build machine learning models How to apply AI to marketing and social media …and more. Even if you don't know anything about artificial intelligence and machine learning, your education in AI begins here! Simply click the buy now button on this page to get started!
©2019 John Medicine (P)2019 John Medicine
The Tech Whisperer
Summary
Companies all over the world are being buffeted by new technologies, disruptive business models, and start-up innovation. Business leaders know that they need to adopt these new technologies like blockchain, artificial intelligence, and the internet of things, and transform their companies using them to keep pace with rapid customer and business environment changes. Therefore, there is an urgent need to understand the basic principles of digital transformation and the technology forces that enable this shift. The Tech Whisperer, as the name suggests, demystifies and simplifies emerging technologies like AI, blockchain, the internet of things, virtual reality, etc. and narrates how companies can employ these to drive their digital transformation. Jaspreet Bindra has been a leading practitioner and thought leader in digital transformation and technology. In his first book, he gives an engaging and forward-looking practitioner’s view which can help business leaders, entrepreneurs and anyone looking to understand digital transformation and technology, and leverage them for their future success.
©2019 Jaspreet Bindra (P)2021 Random House Audio
Machine Learning for Beginners
Summary
Do you want to understand machine learning? How it works and how is correlated to artificial intelligence and deep learning? If yes, then keep reading.... Machine Learning is based on mathematics, specifically statistics. It is a probabilistic discipline that began in the 1950s. Despite initial enthusiasm, research and development in Machine Learning languished for over 30 years, suffering from twin ills of a lack of data to work with and computers that were too slow to effectively work with what data they had. It is no accident Machine Learning is coming into its own over the last 10 years. Until we began creating and storing massive amounts of data about our world, Machine Learning was mostly an idea in the minds of statisticians. And until computers reached a level of speed and power where these massive data sets could be ingested in a reasonable amount of time, the revolution couldn’t happen. Most machine learning technology is developed in such a way that it is excellent at performing one or, at most, two tasks. By focusing entire technology on one single task, they can ensure that it runs that task perfectly and that it does not get confused between the tasks that it is trying to accomplish. It is likely that as we become more familiar with machine learning technology and more educated in the algorithms, we will start to see more and more machines completing multiple tasks, rather than just one. This audiobook gives a comprehensive guide on the following: What is machine learning? Machine learning categories Sectors and industries that use machine learning Fundamental algorithms Regression analysis Benefits of machine learning Deep learning Deep neural network Big data analytics Big data analysis tools How companies use big data Data mining and applications And more! What are you waiting for? Listen now!
©2020 Chris Neil (P)2020 Chris Neil
How to Install Google Play Store on Your Kindle Device
Summary
How to Install Google Play Store on Your Kindle Device : Your A-Z Guide on How to Install Google Play Store onto Your Kindle Device and Enjoy Lots of Exciting Apps and Games in Few Minutes Arguably, the Kindle Fire is one of the android devices that has attracted wide popularity globally, with about over three million users. The features are much better, and the remarks of great user’s interface have been widely recognized throughout its populace. For so many years now, a lot of users have tried downloading apps from the Amazon apps store into their Kindle Fire tablet, and many of them get frustrated because of the limited apps they find there, hence they need to get these apps from Google play store. The drive for having these amazing apps that are available on Google Play store has triggered the mind of many people to look for a way to install Google Play store on their device, this is as a result of apps not available on the Amazon app store. There is no need to fear, as this simplified guide will teach you all you need to know about how to install Google Play store on your Kindle Fire device. All you have to do is to carefully follow the instruction in this book as they are directed and in just few minutes you have unlimited access to unlimited free apps on Google Play store. Moreover, the steps are very easy and simple to understand and follow that even a beginner can easily master it in a few minutes. This DIY, easy-to-understand manual will teach you what you must know about Google Play store, Google Play on the Kindle Fire tablets and its benefits. It is the best guide on how to install Google Play store on your Kindle Fire device. What are you waiting for? Grab your own book now!
©2020 N. Federick Boss (P)2020 N. Federick Boss
Who's Afraid of AI?
Summary
A penetrating guide to artificial intelligence: what it is, what it does, and how it will change our lives At a breathtaking pace, artificial intelligence is getting better and faster at making complex decisions. AI can already identify malignant tumors on CT scans, give legal advice, out-bluff the best poker players in the world, and, with ever-increasing skill, drive our cars. In Who’s Afraid of AI?, award-winning author Thomas Ramge expertly explains how machines are learning to learn, and he questions what today’s explosion of AI capability could mean for tomorrow: Is it ethical to allow robots - endlessly patient - to replace human caregivers in providing comfort and companionship to the elderly? Since AI feeds on big data, can we prevent its misuse by corporations or the government? Will AI ever be capable of runaway self-improvement? And if “the singularity” does arrive, with AI’s intelligence exponentially outpacing our own, what will become of us when, in many ways, we’re obsolete?
©2018 Thomas Ramge (P)2019 Brilliance Publishing, Inc., all rights reserved. Translation © 2019 by Thomas Ramge.
Deep Machine Learning
Summary
Are you interested in Machine Learning? Are you fascinated by how robots work? Are you ready to open up to the dynamics of technological change? Machine Learning has been approached in a definitive manner as a subset falling under a larger set of artificial intelligence. It majorly focuses on the aspect of learning of machines basing on the experience and predicting consequences and actions of the machines that revolve around their experience in the past. The field has made it easy for computers and machines to enact decisions that are data driven instead of explicit programming with regard to a particular task. The algorithms and programs are designed to enable machines and computers to learn by themselves. With time, they get to improve when there is an introduction of new and unique data. The learning process applies the use of training data that sustains the coming up of a model. Insertion of new data brings up predictions that are based on the model. This means that machines are given the capability to foretell on their own. The predictions are then examined closely to identify their accuracy. If accuracy receives positive feedback, then the machine learning algorithm is trained over and over again through the assistance of a data training augmented set. Machine learning tasks are broken into various wider categories. Supervised learning aims at coming up with a model that is mathematics of a data set with desired inputs and outputs. Semi-supervised learning aims at coming up with mathematical models from incomplete data training. You will realize that sample inputs miss expected/desired output in such a case. This audiobook will help you understand more about Deep Machine Learning. In the sections of this audiobook, you will be able to get important chapters that include: History of machine learning The benefits The challenges you may encounter Applications of machine learning Artificial intelligence Big data And much more! With such knowledge, you will be able to embrace technological advancements and be ready for the future. Get a copy of Deep Machine Learning today and get to discover the secrets into technology!
©2019 Joe Grant (P)2019 Joe Grant
The Tree with Many Branches
Summary
Want to build an evolutionary tree? Here’s your chance to learn how. The field of bioinformatics was born out of the need to manage, analyze, and examine raw genomic data in meaningful and exciting ways, such as the discipline of computational phylogenetics would provide. The evolutionary inferences reached among the several peer-reviewed articles contained in this book are neither novel nor breakthrough. However, it is in the application of computational techniques, experiment design, and probabilistic models where this research finds a stronghold. As a matter of practicality, the original manuscripts have been edited for a broader audience due to its highly technical language. The essays compiled in this audiobook have undergone a facelift, from the original scientific format into a more listener-friendly layout, so as to better accommodate two different perspectives - both experts and nonexperts alike.
©2020 Tommy Rodriguez (P)2021 Tommy Rodriguez