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Artificial Intelligence (AI) and Analytics have slowly proven themselves as the major forces driving all of the future technological advancements. They are further expected to play a significant role in shaping our every-day lives more than most of us could imagine. In such quick-paced advancing times, one must remain updated and comprehensively aware of the innovations and transformation such technologies could introduce. And to enhance your knowledge and vision towards a tech-enabled upcoming age, what will be better than BOOKS. Obviously, as they say 'Books are our best friends,' they can give all substances you could consume in your neural network for better analyzing the world in which you breathe.
And moreover, most of the countries are under lockdown, people are quarantined, they don't have access to the physical outer circle to interact. Books can provide a great interaction to human minds in such a crisis.
Therefore, here we have compiled a list of top 10 AI and Analytics books to read during your quarantine.
Author: Lasse Rouhiainen
Artificial Intelligence: 101 Things You Must Know Today About Our Future is a complete introduction to how emergent technologies impact every aspect of business, society, and humanity. Addressing the hottest topics in AI from self-driving cars to chatbots and robotic healthcare, Rouhiainen's comprehensive information answers your burning questions and addresses obvious fears. Armed with practical tools and strategies, you'll learn how to best prepare for an extraordinary wave of innovation. In Artificial Intelligence: 101 Things You Must Know Today About Our Future, you'll discover: Chatbots, robots, other automated functions, and how these will revolutionize society; Which industries will be disrupted and how to forward-plan; How new jobs emerge and what skills you'll need to take advantage of them; Why ethical standards and re-education are crucial for a modern workforce; Charts, visual guides, and infographics to expand your understanding and much, much more!
Artificial Intelligence: 101 Things You Must Know Today About Our Future is your essential roadmap to guide you into the next generation. If you like straightforward explanations of complex issues, broad-ranging applications, and real-world examples, then you'll love Lasse Rouhiainen's detailed resource.
Author: Jerry Kaplan
Over the coming decades, Artificial Intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young, and care for our elderly. It is likely to greatly increase our aggregate wealth, but it will also upend our labor markets, reshuffle our social order, and strain our private and public institutions. Eventually, it may alter how we see our place in the universe, as machines pursue goals independent of their creators and outperform us in domains previously believed to be the sole dominion of humans. Whether we regard them as conscious or unwitting, revere them as a new form of life or dismiss them as mere clever appliances, is beside the point. They are likely to play an increasingly critical and intimate role in many aspects of our lives.
The emergence of systems capable of independent reasoning and action raises serious questions about just whose interests they are permitted to serve, and what limits our society should place on their creation and use. Deep ethical questions that have bedeviled philosophers for ages will suddenly arrive on the steps of our courthouses. Can a machine be held accountable for its actions? Should intelligent systems enjoy independent rights and responsibilities, or are they simple property? Who should be held responsible when a self-driving car kills a pedestrian? Can your personal robot hold your place in line, or be compelled to testify against you? If it turns out to be possible to upload your mind into a machine, is that still you? The answers may surprise you.
Author: Hemant Taneja
Throughout the twentieth century, technology and economics drove a dominant logic: bigger was almost always better. It was smart to scale up – to take advantage of classic economies of scale.
But in the unscaled economy, size and scale have become a liability. Today's most successful companies – Uber, Airbnb, Amazon, Salesforce – have defied the traditional 'economies of scale' approach by renting scale instead of spending vast amounts of money building it. And a new generation of upstarts is using artificial intelligence to automate tasks that once required expensive investment, enabling them to grow big without the bloat of giant organizations.
In Unscaled, Hemant Taneja convincingly shows how the unscaled economy is remaking massive, deeply-rooted industries and opening up fantastic possibilities for entrepreneurs, imaginative companies and resourceful individuals. Beyond that, it can be the model for solving some of the world's greatest problems, including climate change and soaring healthcare costs, potentially reversing many of the ills brought on by mass industrialization.
The unscale wave has only just started. To succeed in business today, companies, CEOs and leaders everywhere must unlearn what they have been taught – they must embrace an unscaled mindset.
Author: Nate Silver
Every time we choose a route to work, decide whether to go on a second date or set aside money for a rainy day, we are making a prediction about the future. Yet from the financial crisis to ecological disasters, we routinely fail to foresee hugely significant events, often at great cost to society. The rise of 'big data' has the potential to help us predict the future, yet much of it is misleading, useless or distracting.
In The Signal and the Noise, the New York Times political forecaster Nate Silver, who accurately predicted the results of every state in the 2012 US election, reveals how we can all develop better foresight in an uncertain world. From the stock market to the poker table, from earthquakes to the economy, he takes us on an enthralling insider's tour of the high-stakes world of forecasting, showing how we can all learn to detect the true signals amid a noise of data.
Matthew D'Ancona from Sunday Telegraph considers the book as 'Remarkable and rewarding' while the Guardian explains it as 'A lucid explanation of how to think probabilistically'.
Author: Cathy O'Neill
We live in the age of the algorithm. Increasingly, the decisions that affect our lives – where we go to school, whether we get a loan, how much we pay for insurance – are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated.
And yet, as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and incontestable, even when they're wrong. Most troubling, they reinforce discrimination. Tracing the arc of a person's life, O'Neil exposes the black box models that shape our future, both as individuals and as a society. These "weapons of math destruction" score teachers and students, sort CVs, grant or deny loans, evaluate workers, target voters, and monitor our health.
O'Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it's up to us to become savvier about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change.
Author: Brian Christian and Tom Griffiths
A fascinating exploration of how computer algorithms can be applied to our everyday lives.
In this dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show us how the simple, precise algorithms used by computers can also untangle very human questions. Modern life is constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? The authors explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others.
From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live by is full of practical takeaways to help you solve common decision-making problems and illuminate the workings of the human mind.
Author: Jordan Ellenberg
Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It's a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does public opinion really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer?
How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician's method of analyzing life and exposing the hard-won insights of the academic community to the layman minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from every day to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia's views on crime and punishment, the psychology of slime molds, what Facebook can and can't figure out about you, and the existence of God.
Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength." With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.
Author: Meor Amer
Finally, a Simple Way to Understand Data Science! Have you have heard about data science, big data, machine learning, and AI, but not sure how to make sense of them? Have you thought of boosting your career with data skills but don't know where to start? Have you even attempted to learn data science, only to be frustrated by this seemingly complex and intimidating subject?
In this engaging and informative book, Meor Amer invites you to learn data science through a story, not complex maths and confusing terms. Nuts About Data will help you to discover the power of using data to solve problems via easy, memorable examples. You can learn to finally get data and be able to confidently discuss it and find the path to transform your career to become skilled in data.
This Story is About….a squirrel country where a clan was suffering from a declining supply of nuts, their only source of food. They were smaller in number and inferior in physique compared to three other clans. They must beat the odds and fight for their share of nuts, mined in a very deep maze. Aly, the clan leader, sought the help of an unlikely source, Moe, to try and devise a plan using data science with their clan's survival at stake.
What You Will Learn: Why you need to know about data science even if you are not a technical person; What is data science and how does it work; What are big data, machine learning, and AI, and how are they related to data science; What benefits do you get from data science, by understanding the kinds of questions that it can answer; Why you have a unique role to play even if you don't plan to become a data scientist or analyst; The five steps of a data science project; and The three levels of analytics.
Author: Mark Van Rijmenam
The Organisation of Tomorrow presents a new model of doing business and explains how big data analytics, blockchain, and artificial intelligence force us to rethink existing business models and develop organisations that will be ready for human-machine interactions. It also asks us to consider the impacts of these emerging information technologies on people and society.
Big data analytics empowers consumers and employees. This can result in an open strategy and a better understanding of the changing environment. Blockchain enables peer-to-peer collaboration and trustless interactions governed by cryptography and smart contracts. Meanwhile, artificial intelligence allows for new and different levels of intensity and involvement among human and artificial actors. With that, new modes of organizing are emerging: where technology facilitates collaboration between stakeholders; and where human-to-human interactions are increasingly replaced with human-to-machine and even machine-to-machine interactions. This book offers dozens of examples of industry leaders such as Walmart, Telstra, Alibaba, Microsoft, and T-Mobile, before presenting the D2 + A2 model – a new model to help organisations datafy their business, distribute their data, analyze it for insights and automate processes and customer touchpoints to be ready for the data-driven and exponentially-changing society that is upon us.
This book offers governments, professional services, manufacturing, finance, retail, and other industries a clear approach for how to develop products and services that are ready for the twenty-first century. It is a must-read for every organization that wants to remain competitive in our fast-changing world.
Author: Kai-Fu Lee
Dr. Kai-Fu Lee—one of the world's most respected experts on AI and China—reveals that China has suddenly caught up to the US at an astonishingly rapid and unexpected pace.
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 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.
*Books' description based on the 'Google Books'
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