Wikipedia: “Andrew Yan-Tak Ng is a British-born American businessman, computer scientist, investor, and writer. He is focusing on machine learning and AI. As a businessman and investor, Andrew Ng co-founded and led Google Brain and was a former Vice President and Chief Scientist at Baidu, building the company’s Artificial Intelligence Group into a team of several thousand people.
Andrew Ng is an adjunct professor at Stanford University (formerly associate professor and Director of its AI Lab). Also, a pioneer in online education, Andrew Ng co-founded Coursera and deeplearning.ai.
He has successfully spearheaded many efforts to “democratize deep learning” teaching over 2.5 million students through his online courses. He is one of the world’s most famous and influential computer scientists being named one of Time magazine’s 100 Most Influential People in 2012, and Fast Company’s Most Creative People in 2014.
Since 2018 he launched and currently heads AI Fund, initially a $175-million investment fund for backing artificial intelligence startups. He has founded Landing AI, which provides AI-powered SaaS products and Transformation Program to empower enterprises into cutting-edge AI companies.”
He is one of the faces of Artificial Intelligence in the world. With his great accomplishments, he is a leading example for every single one of us.
The certificates from his Coursera courses are highly awarded from any potential employee of yours if you have them in your CV (see here how to write a perfect CV for every Data Scientist and Machine Learning Engineer).
There are tons of students that landed Master’s degree programs in top European Universities having decent undergraduate grades and having those certificates.
We are also sure that you will want to read these Top 16 Books That Made Elon Musk a Genius.
In this article, we are going to list some of the best books that Andrew Ng suggests every Data Scientist, Machine Learning Engineer, or Artificial Intelligence enthusiast to read. Some of them are great to read along attending his Coursera courses.
You may be also interested in How to Gain a Computer Science Education from MIT University for FREE.
Check out the best 14 life-changing books that Andrew Ng wants you to read
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The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers
The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers
“Ben Horowitz, the co-founder of Andreessen Horowitz and one of Silicon Valley’s most respected and experienced entrepreneurs, offers essential advice on building and running startup-practical wisdom for managing the toughest problems business school doesn’t cover, based on his popular ben’s blog.
While many people talk about how great it is to start a business, very few are honest about how difficult it is to run one. Ben Horowitz analyzes the problems that confront leaders every day, sharing the insights he’s gained developing, managing, selling, buying, investing in, and supervising technology companies.
A lifelong rap fanatic, he amplifies business lessons with lyrics from his favorite songs, telling it straight about everything from firing friends to poaching competitors, cultivating and sustaining a CEO mentality to knowing the right time to cash in.
Filled with his trademark humor and straight talk, The Hard Thing About Hard Things is invaluable for veteran entrepreneurs as well as those aspiring to their own new ventures, drawing from Horowitz’s personal and often humbling experiences”
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Crossing the Chasm, 3rd Edition (Collins Business Essentials)
Crossing the Chasm, 3rd Edition (Collins Business Essentials)
“The bible for bringing cutting-edge products to larger markets-now revised and updated with new insights into the realities of high-tech marketing.
In Crossing the Chasm, Geoffrey A. Moore shows that in the Technology Adoption Life Cycle-which begins with innovators and moves to early adopters, early majority, late majority, and laggards-there is a vast chasm between the early adopters and the early majority.
While early adopters are willing to sacrifice for the advantage of being first, the early majority waits until they know that the technology actually offers improvements in productivity.
The challenge for innovators and marketers is to narrow this chasm and ultimately accelerate adoption across every segment.
This third edition brings Moore’s classic work up to date with dozens of new examples of successes and failures, new strategies for marketing in the digital world, and Moore’s most current insights and findings.
He also includes two new appendices, the first connecting the ideas in Crossing the Chasm to work subsequently published in his Inside the Tornado, and the second presenting his recent groundbreaking work for technology adoption models for high-tech consumer markets.”
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Talking to Humans: Success starts with understanding your customers
Talking to Humans: Success starts with understanding your customers
“Winner of a special award from the National Science Foundation — With a foreword from Steve Blank, Talking to Humans is a practical guide to the qualitative side of customer development, an indispensable skill for vetting and improving any new startup or innovation.
This book will teach you how to structure and run effective customer interviews, find candidates, and turn learnings into action.”
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The Lean Startup: How Today’s Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses
The Lean Startup: How Today’s Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses
“Most startups fail. But many of those failures are preventable. The Lean Startup is a new approach being adopted across the globe, changing the way companies are built and new products are launched. Eric Ries defines a startup as an organization dedicated to creating something new under conditions of extreme uncertainty.
This is just as true for one person in a garage or a group of seasoned professionals in a Fortune 500 boardroom. What they have in common is a mission to penetrate that fog of uncertainty to discover a successful path to a sustainable business.
The Lean Startup approach fosters companies that are both more capital efficient and that leverage human creativity more effectively. Inspired by lessons from lean manufacturing, it relies on “validated learning”, rapid scientific experimentation, as well as a number of counter-intuitive practices that shorten product-development cycles, measure actual progress without resorting to vanity metrics and learn what customers really want.
It enables a company to shift directions with agility, altering plans inch by inch, minute by minute. Rather than wasting time creating elaborate business plans, The Lean Startup offers entrepreneurs – in companies of all sizes – a way to test their vision continuously, to adapt and adjust before it’s too late. Ries provides a scientific approach to creating and managing successful startups in an age when companies need to innovate more than ever.”
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So Good They Can’t Ignore You: Why Skills Trump Passion in the Quest for Work You Love
So Good They Can’t Ignore You: Why Skills Trump Passion in the Quest for Work You Love
“In an unorthodox approach, Georgetown University professor Cal Newport debunks the long-held belief that “follow your passion” is good advice and sets out on a quest to discover the reality of how people end up loving their careers.
Not only are pre-existing passions rare and have little to do with how most people end up loving their work, but a focus on passion over skill can be dangerous, leading to anxiety and chronic job-hopping. Spending time with organic farmers, venture capitalists, screenwriters, freelance computer programmers, and others who admitted to deriving great satisfaction from their work, Newport uncovers the strategies they used and the pitfalls they avoided in developing their compelling careers.
Cal reveals that matching your job to a pre-existing passion does not matter. Passion comes after you put in the hard work to become excellent at something valuable, not before. In other words, what you do for a living is much less important than how you do it.
With a title taken from the comedian Steve Martin, who once said his advice for aspiring entertainers was to “be so good they can’t ignore you,” Cal Newport’s clearly-written manifesto is mandatory reading for anyone fretting about what to do with their life or frustrated by their current job situation and eager to find a fresh new way to take control of their livelihood.
He provides an evidence-based blueprint for creating work you love and will change the way you think about careers, happiness, and the crafting of a remarkable life.”
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Zero to One: Notes on Startups, or How to Build the Future
Zero to One – Notes on Startups, or How to Build the Future
“Every moment in business happens only once. The next Bill Gates will not build an operating system. The next Larry Page or Sergey Brin won’t make a search engine. And the next Mark Zuckerberg won’t create a social network.
If you are copying these guys, you aren’t learning from them. It’s easier to copy a model than to make something new: doing what we already know how to do takes the world from 1 to n, adding more of something familiar. But every time we create something new, we go from 0 to 1.
The act of creation is singular, as is the moment of creation, and the result is something fresh and strange. Progress comes from monopoly, not competition. If you do what has never been done and you can do it better than anybody else, you have a monopoly – and every business is successful exactly insofar as it is a monopoly.
But the more you compete, the more you become similar to everyone else. From the tournament of formal schooling to the corporate obsession with outdoing rivals, competition destroys profits for individuals, companies, and society as a whole.
Zero to One is about how to build companies that create new things. It draws on everything Peter Thiel has learned directly as a co-founder of PayPal and Palantir and then an investor in hundreds of startups, including Facebook and SpaceX.
The single most powerful pattern Thiel has noticed is that successful people find value in unexpected places, and they do this by thinking about business from first principles instead of formulas. Ask not, what would Mark do? Ask: What valuable company is nobody building?”
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Rocket Surgery Made Easy: The Do-It-Yourself Guide to Finding and Fixing Usability Problems
Rocket Surgery Made Easy: The Do-It-Yourself Guide to Finding and Fixing Usability Problems
“It’s been known for years that usability testing can dramatically improve products. But with a typical price tag of $5,000 to $10,000 for a usability consultant to conduct each round of tests, it rarely happens.
In this how-to companion to Don’t Make Me Think: A Common Sense Approach to Web Usability, Steve Krug spells out a streamlined approach to usability testing that anyone can easily apply to their own Web site, application, or other product. (As he said in Don’t Make Me Think, “It’s not rocket surgery”.)”
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Deep Learning (Adaptive Computation and Machine Learning series)
Deep Learning (Adaptive Computation and Machine Learning series)
“An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” – Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX
Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human-computer operator to formally specify all the knowledge that the computer needs.
The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.
The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames.
Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.
Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.”
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Architects of Intelligence: The Truth About AI from the People Building It
Architects of Intelligence: The truth about AI from the people building it
“How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances?
Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community.
Martin has wide-ranging conversations with twenty-three of the world’s foremost researchers and entrepreneurs working in AI and robotics: Demis Hassabis (DeepMind), Ray Kurzweil (Google), Geoffrey Hinton (Univ. of Toronto and Google), Rodney Brooks (Rethink Robotics), Yann LeCun (Facebook), Fei-Fei Li (Stanford and Google), Yoshua Bengio (Univ. of Montreal), Andrew Ng (AI Fund), Daphne Koller (Stanford), Stuart Russell (UC Berkeley), Nick Bostrom (Univ. of Oxford), Barbara Grosz (Harvard), David Ferrucci (Elemental Cognition), James Manyika (McKinsey), Judea Pearl (UCLA), Josh Tenenbaum (MIT), Rana el Kaliouby (Affectiva), Daniela Rus (MIT), Jeff Dean (Google), Cynthia Breazeal (MIT), Oren Etzioni (Allen Institute for AI), Gary Marcus (NYU), and Bryan Johnson (Kernel).
Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year, Rise of the Robots. He speaks at conferences and companies around the world on what AI and automation might mean for the future.
Meet the minds behind the AI superpowers as they discuss the science, business, and ethics of modern artificial intelligence.
Read James Manyika’s thoughts on AI analytics, Geoffrey Hinton’s breakthroughs in AI programming and development, and Rana el Kaliouby’s insights into AI marketing.
This AI book collects the opinions of the luminaries of the AI business, such as Stuart Russell (coauthor of the leading AI textbook), Rodney Brooks (a leader in AI robotics), Demis Hassabis (chess prodigy and mind behind AlphaGo), and Yoshua Bengio (leader in deep learning) to complete your AI education and give you an AI advantage in 2019 and the future.”
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The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies
The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies
“A New York Times Bestseller. A “fascinating” (Thomas L. Friedman, New York Times) look at how digital technology is transforming our work and our lives. In recent years, Google’s autonomous cars have logged thousands of miles on American highways and IBM’s Watson trounced the best human Jeopardy! players.
Digital technologies-with hardware, software, and networks at their core-will in the near future diagnose diseases more accurately than doctors can apply enormous data sets to transform retailing, and accomplish many tasks once considered uniquely human.
In The Second Machine Age MIT’s Erik Brynjolfsson and Andrew McAfee-two thinkers at the forefront of their field-reveal the forces driving the reinvention of our lives and our economy.
As the full impact of digital technologies is felt, we will realize immense bounty in the form of dazzling personal technology, advanced infrastructure, and near-boundless access to the cultural items that enrich our lives.
Amid this bounty will also be wrenching change. Professions of all kinds―from lawyers to truck drivers―will be forever upended. Companies will be forced to transform or die. Recent economic indicators reflect this shift: fewer people are working, and wages are falling even as productivity and profits soar.
Drawing on years of research and up-to-the-minute trends, Brynjolfsson and McAfee identify the best strategies for survival and offer a new path to prosperity.
These include revamping education so that it prepares people for the next economy instead of the last one, designing new collaborations that pair brute processing power with human ingenuity, and embracing policies that make sense in a radically transformed landscape.
A fundamentally optimistic book, The Second Machine Age alters how we think about issues of technological, societal, and economic progress.”
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Why Don’t Students Like School?: A Cognitive Scientist Answers Questions About How the Mind Works and What It Means for the Classroom
Why Don’t Students Like School?: A Cognitive Scientist Answers Questions About How the Mind Works and What It Means for the Classroom
“Easy-to-apply, scientifically-based approaches for engaging students in the classroom
Cognitive scientist Dan Willingham focuses his acclaimed research on the biological and cognitive basis of learning. His book will help teachers improve their practice by explaining how they and their students think and learn. It reveals the importance of story, emotion, memory, context, and routine in building knowledge and creating lasting learning experiences.
- Nine, easy-to-understand principles with clear applications for the classroom
- Includes surprising findings, such as that intelligence is malleable, and that you cannot develop “thinking skills” without facts
- How an understanding of the brain’s workings can help teachers hone their teaching skills
“Mr. Willingham’s answers apply just as well outside the classroom. Corporate trainers, marketers and, not least, parents -anyone who cares about how we learn-should find his book valuable reading.” – Wall Street Journal”
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Give and Take: Why Helping Others Drives Our Success
Give and Take: Why Helping Others Drives Our Success
“A groundbreaking looks at why our interactions with others hold the key to success, from the bestselling author of Originals For generations, we have focused on the individual drivers of success: passion, hard work, talent, and luck.
But in today’s dramatically reconfigured world, success is increasingly dependent on how we interact with others. In Give and Take, Adam Grant, an award-winning researcher, and Wharton’s highest-rated professor examines the surprising forces that shape why some people rise to the top of the success ladder while others sink to the bottom.
Praised by social scientists, business theorists, and corporate leaders, Give and Take opens up an approach to work, interactions, and productivity that is nothing short of revolutionary.”
“AI is transforming numerous industries. Machine Learning Yearning, a free ebook from Andrew Ng, teaches you how to structure Machine Learning projects.
This book is focused not on teaching you ML algorithms, but on how to make ML algorithms work. After reading Machine Learning Yearning, you will be able to:
- Prioritize the most promising directions for an AI project
- Diagnose errors in a machine learning system
- Build ML in complex settings, such as mismatched training/ test sets
- Set up an ML project to compare to and/or surpass human-level performance
- Know when and how to apply end-to-end learning, transfer learning, and multi-task learning.”
“AI (Artificial Intelligence) technology is now poised to transform every industry, just as electricity did 100 years ago. Between now and 2030, it will create an estimated $13 trillion of GDP growth.
While it has already created tremendous value in leading technology companies such as Google, Baidu, Microsoft, and Facebook, much of the additional waves of value creation will go beyond the software sector.
This AI Transformation Playbook draws on insights gleaned from leading the Google Brain team and the Baidu AI Group, which played leading roles in transforming both Google and Baidu into great AI companies.
It is possible for any enterprise to follow this Playbook and become a strong AI company, though these recommendations are tailored primarily for larger enterprises with a market cap/valuation from $500M to $500B.”
Conclusion
Andrew Ng is a crucial part of Artificial Intelligence society. He is someone who is helping us learn new things that will help us unlock new achievements in this field that will later lead to an easier, safer, and better life for everyone on this planet.
If you are interested in reading, these books are a great source for knowledge, if not, visit his courses at Coursera, or visit landing.ai and deeplearning.ai for free AI content.
If you are interested in similar posts, check the book recommendations from Elon Musk:
Here are some of our previous articles where you can find free learning content:
- You Can Now Learn for FREE: 9 Courses by Google about Artificial Intelligence, Machine Learning and Data Science
- Top 40 COMPLETELY FREE Coursera Artificial Intelligence and Computer Science Courses
- FREE Computer Science Curriculum From The Best Universities and Companies In The World
- How To Become a Certified Data Scientist at Harvard University for FREE
- How to Gain a Computer Science Education from MIT University for FREE
- Top 50 FREE Artificial Intelligence, Computer Science, Engineering and Programming Courses from the Ivy League Universities
- Top 10 Best FREE Artificial Intelligence Courses from Harvard, MIT, and Stanford
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