DISCOVER THE SECRETS OF AI AND UNLOCK YOUR POTENTIAL (Scroll down to find the perfect book)
GENERAL ARTIFICIAL INTELLIGENCE BOOKS
Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World
AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years.
Artificial Intelligence Basics: A Non-Technical Introduction
Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success.
Artificial Intelligence & Generative AI for Beginners: The Complete Guide
“Generative AI is a new form of creativity that will redefine human expression.” – Sam Altman “Generative AI is the most exciting and terrifying technology ever encountered.” – Lex Fridman Do you want an easy guide to understanding AI? Curious about the hype around generative AI? Looking for ways to use ChatGPT, MidJourney for business & personal gain? If you find yourself nodding in agreement, then this book is your perfect companion!
AI Superpowers: China, Silicon Valley, and the New World Order
In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power. Most experts already say that AI will have a devastating impact on blue-collar jobs. But Lee predicts that Chinese and American AI will have a strong impact on white-collar jobs as well. Is universal basic income the solution? In Lee’s opinion, probably not. But he provides a clear description of which jobs will be affected and how soon, which jobs can be enhanced with AI, and most importantly, how we can provide solutions to some of the most profound changes in human history that are coming soon.
The Business Case for AI: A Leader’s Guide to AI Strategies, Best Practices & Real-World Applications
AI is much more than a sexy marketing gimmick. At its core, it’s a powerful business tool that can make operations and decision-making more efficient, employees more productive, and customers delighted. Unfortunately, leaders who want to take advantage of artificial intelligence often don’t know where to start. The process can feel overwhelming—from analyzing existing processes and software systems and choosing where to apply AI automation, to preparing every tier of the organization for the transition.
Three of the world’s most accomplished and deep thinkers come together to explore Artificial Intelligence (AI) and the way it is transforming human society—and what this technology means for us all. Generative AI is filling the internet with false information. Artists, writers, and many other professionals are in fear of their jobs. AI is discovering new medicines, running military drones, and transforming the world around us—yet we do not understand the decisions it makes, and we don’t know how to control them.
The ChatGPT Millionaire: Making Money Online has never been this EASY (Chat GPT Mastery Series)
We currently live in a world where businesses are paying hundreds of dollars to people for writing engaging articles and blogs, and thousands of dollars per month for social media marketing and SEO. Now using ChatGPT, anyone including you can do this really well – even if you have no experience in this! Most businesses are not aware of or are not using this right now – which is where you can come in and undercut existing providers while doing almost zero work – and I will show you how step-by-step – with instructions you can copy and paste. This market may become saturated a year from now – but this is the right time to start!
AI is about to transform medicine. Here’s what you need to know right now. ”The development of AI is as fundamental as the creation of the personal computer. It will change the way people work, learn, and communicate–and transform healthcare. But it must be managed carefully to ensure its benefits outweigh the risks. I’m encouraged to see this early exploration of the opportunities and responsibilities of AI in medicine.”
Artificial Intelligence: An Executive Guide to Make AI Work for Your Business
In the business world, the very term artificial intelligence (AI) is shrouded in mystery. For some, it’s the brains behind a robotic apocalypse. For others, it provides hope for a better society with self-driving cars, food security, and medical breakthroughs. But what about for businesses? For most executives , the term “AI” is vague, confusing, and although intriguing, it seems unapproachable.
Artificial Intelligence Explained: A Kid-Friendly Guide to AI and Machine Learning
“Artificial Intelligence Explained: A Kid-Friendly Guide to AI and Machine Learning” is an engaging journey that demystifies the world of AI for young minds and curious learners. From the origins of AI to its astounding applications in everyday life, this book unveils the secrets behind smart devices, gaming, medicine, and more. With relatable explanations, captivating stories, and interactive projects, readers discover the inner workings of AI, explore its ethical implications, and envision a future where they become AI innovators. Packed with knowledge and inspiration, this book equips young readers with the tools to understand, embrace, and shape the technological world around them.
Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Listeners will learn how to structure big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples. Listeners become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.
While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android―as in the movie Ex Machina―it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models―and way, way more.
AI and Machine Learning for Coders: A Programmer’s Guide to Artificial Intelligence
If you’re looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney’s extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You’ll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code.
Python Machine Learning for Beginners: Learning from scratch NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, and TensorFlow for Machine Learning and … Learning & Data Science for Beginners)
Python Machine Learning for Beginners Machine Learning (ML) and Artificial Intelligence (AI) are here to stay. Yes, that’s right. Based on a significant amount of data and evidence, it’s obvious that ML and AI are here to stay.Consider any industry today. The practical applications of ML are really driving business results. Whether it’s healthcare, e-commerce, government, transportation, social media sites, financial services, manufacturing, oil and gas, marketing and salesYou name it. The list goes on. There’s no doubt that ML is going to play a decisive role in every domain in the future.But what does a Machine Learning professional do?A Machine Learning specialist develops intelligent algorithms that learn from data and also adapt to the data quickly. Then, these high-end algorithms make accurate predictions. Python Machine Learning for Beginners presents you with a hands-on approach to learn ML fast.
Evaluating data science problems to find the most effective solution Scoping a machine learning project for usage expectations and budget Process techniques that minimize wasted effort and speed up production Assessing a project using standardized prototyping work and statistical validation Choosing the right technologies and tools for your project Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices Ferrying a machine learning project from your data science team to your end users is no easy task. Machine Learning Engineering in Action will help you make it simple. Inside, you’ll find fantastic advice from veteran industry expert Ben Wilson, Principal Resident Solutions Architect at Databricks.
Peter Norvig, Research Director at Google, co-author of AIMA, the most popular AI textbook in the world: “Burkov has undertaken a very useful but impossibly hard task in reducing all of machine learning to 100 pages. He succeeds well in choosing the topics — both theory and practice — that will be useful to practitioners, and for the reader who understands that this is the first 100 (or actually 150) pages you will read, not the last, provides a solid introduction to the field.” Aurélien Géron, Senior AI Engineer, author of the bestseller Hands-On Machine Learning with Scikit-Learn and TensorFlow: “The breadth of topics the book covers is amazing for just 100 pages (plus few bonus pages!). Burkov doesn’t hesitate to go into the math equations: that’s one thing that short books usually drop. I really liked how the author explains the core concepts in just a few words. The book can be very useful for newcomers in the field, as well as for old-timers who can gain from such a broad view of the field.”
Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value
Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries. The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories.
It’s Not Easy Being a AI Data Analyst and Looking this Fabulous
This beautifully designed notebook is a blank slate for their imagination to flourish, providing endless possibilities for self-expression. Book Features: Infinite Potential: This diary encourages limitless exploration and creativity, allowing your loved ones to fill its pages with their dreams, ideas, and artistic expressions. Premium Quality: Crafted with high-quality paper, this notebook offers a smooth and durable surface, ready to handle pencils, pens, markers, or even watercolors. Versatile Companion: This book adapts to any creative endeavor, serving as a journal, sketchbook, poetry collection, or space for brainstorming and planning. Suitable for All Ages: Perfect for everyone including adults, teens and children, it fosters creativity and self-expression across generations.
HBR’s 10 Must Reads on AI, Analytics, and the New Machine Age
Machine learning and data analytics are powering a wave of groundbreaking technologies. Is your company ready? We’ve combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand how these technologies work together, how to adopt them, and why your strategy can’t ignore them. In this book, you’ll learn how: data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights; blockchain has the potential to restructure the economy; drones and driverless vehicles are becoming essential tools; 3-D printing is making new business models possible; augmented reality is transforming retail and manufacturing; smart speakers are redefining the rules of marketing; and humans and machines are working together to reach new levels of productivity.
Artificial Intelligence Explained: A Kid-Friendly Guide to AI and Machine Learning
Data is an integral strategic asset for all businesses. Learn how to leverage this data and generate valuable insights and true business value with bestselling author and data guru Bernard Marr. Data has massive potential for all businesses when used correctly, from small organizations to tech giants and huge multinationals, but this resource is too often not fully utilized. Data Strategy is the must-read guide on how to create a robust, data-driven approach that will harness the power of data to revolutionize your business. Explaining how to collect, use and manage data, this book prepares any organization with the tools and strategies needed to thrive in the digital economy.
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you’ll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You’ll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology.
Excel Data Analysis For Dummies (For Dummies (Computer/Tech)
With Microsoft Excel, you can, well, excel at data analysis. And Excel Data Analysis For Dummies can help, with clear and easy explanations of the mountain of features for creating, visualizing, and analyzing data. PivotTables, charts, what-if analysis, statistical functions―it’s all in here, with examples and ideas for Excel users of all skill levels. This latest edition covers the most recent updates to Excel and Microsoft 365. You’ll beef up your data skills and learn powerful techniques for turning numbers into knowledge. For students, researchers, and business professionals, Excel is the spreadsheet and data application of choice―and Dummies is the best choice for learning how to make those numbers sing. Learn how to use Excel’s built-in data analysis features and write your own functions to explore patterns in your data Create striking charts and visualizations, and discover multiple ways to tell the stories hidden in the numbers Clean up large datasets and identify statistical operations that will answer your questions
Artificial Intelligence for IoT Cookbook: Over 70 recipes for building AI solutions for smart homes, industrial IoT, and smart cities
Artificial intelligence (AI) is rapidly finding practical applications across a wide variety of industry verticals, and the Internet of Things (IoT) is one of them. Developers are looking for ways to make IoT devices smarter and to make users’ lives easier. With this AI cookbook, you’ll be able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions, along with covering advanced AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you through essential processes such as data collection, data analysis, modeling, statistics and monitoring, and deployment.
Practical Java Programming for IoT, AI, and Blockchain
We are living in an era of digital revolution. On the horizon, many emerging digital technologies are being developed at a breathtaking speed. Whether we like it or not, whether we are ready or not, digital technologies are going to penetrate more and more, deeper and deeper, into every aspect of our lives. This is going to fundamentally change how we live, how we work, and how we socialize. Java, as a modern high-level programming language, is an excellent tool for helping us to learn these digital technologies, as well as to develop digital applications, such as IoT, AI, Cybersecurity, Blockchain and more. Practical Java Programming uses Java as a tool to help you learn these new digital technologies and to be better prepared for the future changes.
AI, IoT and the Blockchain: Using the Power of Three to create Business, Legal and Technical Solutions
In this book, we explore how organizations and their product and service developers can prepare their businesses to incorporate three emerging technology trends: Artificial Intelligence (AI), the Internet of Things (IoT) and the Blockchain. We will cover the component resources, i.e., business, technical and legal needed to empower an organization to exploit them now and in the future.We’ll start with a discussion of each technology providing introductory material. We will provide the reader with details around the players (e.g., Google, Ethereum, IBM, Microsoft, Amazon, etc.) who are fostering and developing standards for ‘Power of 3″ implementation. We will discuss the requirements not only technical but also for business and legal compliance with emerging regulation, security and privacy law. We will walk the reader through the steps required to create sample applications and code. This will facilitate, enable and accelerate the readers journey to the implementation of these new technologies.
IoT Projects with NVIDIA Jetson Nano: AI-Enabled Internet of Things Projects for Beginners
Explore the capabilities of the NVIDIA Jetson Nano, an IoT device designed to perform computations like a computer desktop. This book will show you how to build your first project and optimize your devices, programs, and daily activities with the AI computation abilities of the Jetson Nano. This board consists of CPU Quad-core ARM A57 @ 1.43 GHz and GPU 128-core Maxwell. With this hardware specification, the board can run multiple neural networks in parallel for complex AI applications. With the integrated sensor and actuators, this board enables stronger IoT solutions and provides more advanced capabilities.
Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies (Advances in Computational Intelligence and Robotics)
“This book provides perspectives of academics and industrial practitioners offering the latest innovations and applications of artificial intelligence (AI), Internet-of-Things (IoT) and cognitive based smart systems to provide information for all those interested in AI, IoT and Cognitive Technologies in emerging and developed economies in terms of their respective development situation toward public policies, technologies and intellectual capital, innovation systems, competition and strategies, marketingand growth capability, governance and relegation model etc”–
Architectural Patterns and Techniques for Developing IoT Solutions: Build IoT applications using digital twins, gateways, rule engines, AI/ML integration, and related patterns
As the Internet of Things (IoT) expands and moves to new domains, architectural patterns need to enable faster digital transformation and more uniform development. Through numerous use cases and examples, this book helps you conceptualize and implement IoT architectural patterns and use them in diverse contexts in real-world scenarios. The book begins by introducing you to a variety of IoT architectural patterns and then helps you understand how they are used in domains such as retail, smart manufacturing, consumer, smart cities, and smart agriculture. You’ll also find out how cross-cutting concerns such as security require special considerations in the IoT context.
The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist’s guide to how artificial intelligence can be used to augment and enhance humans’ lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning.
Artificial Intelligence: A Guide for Thinking Humans
No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals its turbulent history and the recent surge of apparent successes, grand hopes, and emerging fears that surround AI. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent – really – are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent
Human Compatible: Artificial Intelligence and the Problem of Control
A leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines. In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking audiobook, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage.
Our Final Invention: Artificial Intelligence and the End of the Human Era Paperback
In as little as a decade, artificial intelligence could match and then surpass human intelligence. Corporations and government agencies around the world are pouring billions into achieving AI’s Holy Grail―human-level intelligence. Once AI has attained it, scientists argue, it will have survival drives much like our own. We may be forced to compete with a rival more cunning, more powerful, and more alien than we can imagine. Through profiles of tech visionaries, industry watchdogs, and groundbreaking AI systems, James Barrat’s Our Final Invention explores the perils of the heedless pursuit of advanced AI. Until now, human intelligence has had no rival. Can we coexist with beings whose intelligence dwarfs our own? And will they allow us to?
The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics
The book approaches the topic of data science from several sides. Crucially, it will show you how to build data platforms and apply data science tools and methods. Along the way, it will help you understand – and explain to various stakeholders – how to generate value from these techniques, such as applying data science to help organizations make faster decisions, reduce costs, and open up new markets. Furthermore, it will bring fundamental concepts related to data science to life, including statistics, mathematics, and legal considerations. Finally, the book outlines practical case studies that illustrate how knowledge generated from data is changing various industries over the long term.
AI for Data Science: Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond
Aspiring and practicing Data Science and AI professionals, along with Python and Julia programmers, will practice numerous AI algorithms and develop a more holistic understanding of the field of AI, and will learn when to use each framework to tackle projects in our increasingly complex world. The first two chapters introduce the field, with Chapter 1 surveying Deep Learning models and Chapter 2 providing an overview of algorithms beyond Deep Learning, including Optimization, Fuzzy Logic, and Artificial Creativity.
Life 3.0: Being Human in the Age of Artificial Intelligence
How will artificial intelligence affect crime, war, justice, jobs, society, and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology – and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial. How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today’s kids? How can we make future AI systems more robust so that they do what we want without crashing, malfunctioning, or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will machines eventually outsmart us at all tasks, replacing humans on the job market and perhaps altogether? Will AI help life flourish like never before or give us more power than we can handle?
Human + Machine: Reimagining Work in the Age of AI
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? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization–whether related to breakthrough innovation, everyday customer service, or personal productivity habits
Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
201 real Data Science interview questions asked by Facebook, Google, Amazon, Netflix, Two Sigma, Citadel and more — with detailed step-by-step solutions! Learn how to break into Data Science, with tips on crafting your resume, creating kick-ass portfolio projects, sending networking cold emails, and better telling your story during behavioral interviews Questions cover the most frequently-tested topics in data interviews: Probability, Statistics, Machine Learning, SQL & Database Design, Coding (Python), Product Analytics, and A/B Testing Each chapter has a brief crash-course on the most important concepts and formulas to review Learn how to solve open-ended case study questions that combine product-sense, business intuition, and statistical modeling skills, and practice with case interviews from
AI for Absolute Beginners: A Clear Guide to Tomorrow (AI, Data Science, Python & Statistics for Beginners)
Well, look no further! AI for Absolute Beginners is your guide to demystifying complex AI concepts and providing you with a solid foundation to step into and stay ahead in the new AI era. In this accessible and comprehensive book, we start from scratch, assuming no prior knowledge. Each chapter is carefully crafted to guide you through the fundamental concepts and practical applications of AI, including machine learning, generative AI, and deep learning. With clear and plain English explanations, you’ll be surprised at how quickly you can start thinking and speaking fluently in the words and mindset of an AI expert!
Learn Robotics Programming: Build and control AI-enabled autonomous robots using the Raspberry Pi and Python,
We live in an age where the most complex or repetitive tasks are automated. Smart robots have the potential to revolutionize how we perform all kinds of tasks with high accuracy and efficiency. With this second edition of Learn Robotics Programming, you’ll see how a combination of the Raspberry Pi and Python can be a great starting point for robot programming. The book starts by introducing you to the basic structure of a robot and shows you how to design, build, and program it. As you make your way through the book, you’ll add different outputs and sensors, learn robot building skills, and write code to add autonomous behavior using sensors and a camera. You’ll also be able to upgrade your robot with Wi-Fi connectivity to control it using a smartphone. Finally, you’ll understand how you can apply the skills that you’ve learned to visualize, lay out, build, and code your future robot building projects.
Introduction to Self-Driving Vehicle Technology (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
This book aims to teach the core concepts that make Self-driving vehicles (SDVs) possible. It is aimed at people who want to get their teeth into self-driving vehicle technology, by providing genuine technical insights where other books just skim the surface. The book tackles everything from sensors and perception to functional safety and cybersecurity. It also passes on some practical know-how and discusses concrete SDV applications, along with a discussion of where this technology is heading. It will serve as a good starting point for software developers or professional engineers who are eager to pursue a career in this exciting field and want to learn more about the basics of SDV algorithms. Likewise, academic researchers, technology enthusiasts, and journalists will also find the book useful.
Robotic Process Automation: Guide To Building Software Robots, Automate Repetitive Tasks & Become An RPA Consultant
Robotic Process Automation (RPA) is an exciting field that is revolutionizing the way tasks are done. Algorithms are taking over the jobs done by individuals in various markets. RPA is perfect for eliminating redundant, repetitive tasks that are holding you back from working on things that really require your attention. We are on the cusp of a revolution that is going to eliminate a lot of jobs. Rather than wait for your own job to get automated or redundant, we recommend joining the automation revolution and obtaining the skills that will enable further automation. Rise of the Robots This is the perfect book for you if you are looking to become an automation consultant – a field that is poised to grow dramatically in the next few years with mass unemployment becoming an increasingly probable reality.
ARTIFICIAL INTELLIGENCE: BLISS OR PERIL FOR FUTURE HUMANITY?: UNDERSTANDING THE BASICS OF AI IN OUR EVERYDAY LIVES
Has it ever crossed your mind that Artificial Intelligence (AI) is no longer a far-off, high-tech science fiction fantasy but an integral part of our everyday lives? When you watch a movie suggested by Netflix’s AI, talk to your favorite brand’s chatbot, or follow your car’s navigation to the new restaurant in town, you interact with AI. This omnipresent technology transforms our world and sets the stage for the future in unimaginable ways. Have you considered how much the world understands this transformative phenomenon creating digital miracles and driving the economy? Did you know AI could contribute up to a staggering $15.7 trillion to the global economy by 2030? However, most people are spectators rather than actors in this fast-evolving digital epoch.
Robot-Proof: Higher Education in the Age of Artificial Intelligence (Mit Press) Paperback
How to educate the next generation of college students to invent, to create, and to discover—filling needs that even the most sophisticated robot cannot. Driverless cars are hitting the road, powered by artificial intelligence. Robots can climb stairs, open doors, win Jeopardy, analyze stocks, work in factories, find parking spaces, advise oncologists. In the past, automation was considered a threat to low-skilled labor. Now, many high-skilled functions, including interpreting medical images, doing legal research, and analyzing data, are within the skill sets of machines. How can higher education prepare students for their professional lives when professions themselves are disappearing? In Robot-Proof, Northeastern University president Joseph Aoun proposes a way to educate the next generation of college students to invent, to create, and to discover—to fill needs in society that even the most sophisticated artificial intelligence agent cannot.