Peter norvig

Ask a question to one of the world's leading Data Scientists!

Peter Norvig is a Director of Research at Google Inc; previously he directed Google's core search algorithms group. He is co-author of Artificial Intelligence: A Modern Approach, the leading textbook in the field, and co-teacher of an Artificial Intelligence class that signed up 160,000 students, helping to kick off the current round of massive open online classes. He is a AAAI Fellow, ACM Fellow, and American Academy of Arts & Sciences Member.

Go read Peter's responses here!

Top 7 Questions

682

What is your opinion on using online education (Coursera, Udacity, etc.) vs. formal education (Masters in Analytics) for industry professionals looking to develop data science skill?

Posted over 3 years ago.
122

How important is data science for individuals interested in applied machine learning and deep learning ?

Posted over 3 years ago.
114

Do you think Deep learning/Neural Networks is the future ?

Posted over 3 years ago.
77

What books have influenced your thinking the most and/or what books do you think you've learned the most from?

Posted over 3 years ago.
71

What is one of the most-often overlooked things in machine learning that you wished more people would know about or would study more?

What are some of the most interesting data science projects Google is working on?

Posted over 3 years ago.
65

How important is naive physics and common sense reasoning ?

Posted over 3 years ago.
56

What, say, 3 recent papers in machine learning do you think will be influential to directing the cutting edge of research these days?

Posted over 3 years ago.

More Questions

52

Which organization/university/group according to you is at the forefront of artificial intelligence ?

Posted over 3 years ago.
31

Hi! I am an EECS major at UC Berkeley. I will begin my sophomore year this fall. I took Andrew Ng's Machine Learning Course on Coursera a while back. While I didn't complete the entire course, I was really fascinated by some of the things that are possible with machine learning.

How much time will it take to acquire skills that can lead to a full time role in the data science industry. Is it necessary to acquire this through formal education, and even go as far as pursuing a PhD in data science ?

Would also love to hear your thoughts about the future of this field and what sort of technology we can hope to see in the short to medium term.

Posted over 3 years ago.
27

How important is good programming skills for becoming a successful data scientist.

Posted over 3 years ago.
20

What are your biggest hopes and fears as they pertain to the future of artificial intelligence?

Posted over 3 years ago.
15

What industries do you see most impacted by data science in the next 5 years? Of those industries can you explain how you see them being impacted?

Posted over 3 years ago.
15

As Data Science increasingly defines itself as a discipline, academic institutions are increasingly offering "Data Science" or "Analytics" Masters degrees and professional certifications. Many of these programs are just one year long and -- from my perspective as someone with a math/stats background -- probably not sufficiently rigorous.

How mathematically rigorous do you think such programs should aim to be, or rather: how *little* "hard" math do you think such programs can get away with presenting to their students while still be taken seriously? What do you think would be an outline of a suitable curriculum for a short-duration professional program of this kind? What types of questions do you think prospective students should ask who are looking for a degree/certification and trying to determine if a particular program is good enough or may be too "softball?"

Posted over 3 years ago.
12

Data science is statistics on a Mac?

Posted over 3 years ago.
11

How useful are some of the approaches in data science and machine learning (such as deep learning), in eventually attaining the goal of human level artificial intelligence (HLAI) in some form? Or do you see machine learning as a field quite distinct from the quest for HLAI?

Posted over 3 years ago.
8

I work in the global health field where data science isn't widely known. When I try to build interest in it I'm often asked "How is this different than exploratory data analysis?" What is a good answer to that question?

Posted over 3 years ago.
8

What are the limits to statistical approaches to understanding natural language interaction vs. real world knowledge? For example, suppose you're creating a home robot. Learning different ways to say "take a right turn here" and "next right" seem more boundable than creating a droid that knows some silks should be hand washed.

Posted over 3 years ago.
8

Do you see data-driven approaches, or even beyond that, data-driven artificial intelligence being able to answer questions in the fundamental sciences such as physics, chemistry in biology? Specifically, not using these techniques as elaborate regressions for existing models, or as a complicated numerical correlation, but as actual sources of meaning and physical insight?

Posted over 3 years ago.
7

How can you explain Data science fundamentals to a 7 year old?

Posted over 3 years ago.
7

Do you believe programs like the Insight Data Science Fellows program should be the preferred option for transitioning to a career in data science compared to online and formal education?

Posted over 3 years ago.
6

Why should young people be interested in data science as a skill or career?

Posted over 3 years ago.
6

Will deep learning and similar hierarchical unsupervised learning lead to consciousness?

Posted over 3 years ago.
6

is statistics (phd level) necessary to be as Data scientist.

Posted over 3 years ago.
5

How do you imagine AI's potential in helping humans be more human?

Posted over 3 years ago.
5

Given your tremendous experience, what advice would you give to a fresh PhD admit in AI/Machine Learning ? Which traits separate the best from the rest ?

Posted over 3 years ago.
4

What are your views on the singularity, and what do you see as a possible roadmap for AGI happening within or outside of Google?

Posted over 3 years ago.
4

You wrote about "unreasonable effectiveness of data" which allows building increasingly effective Big Data and machine learning-based tools, which leads to Increasing reliance on computers for decisions (eg Google self-driving car now has no wheel), and that in turn likely to lead to deteriorating human skills.
What can people do to counteract this skill atrophy ?

Posted over 3 years ago.
4

How is Machine Learning reshaping our understanding of what the field of Artificial Intelligence is about? Would you say Machine Learning is a subfield of AI or is it better thought of as its own entity borrowing concepts from fields like AI, Statistics, etc?

Posted over 3 years ago.
4

You said data trumps algorithms a while back. In which fields is the opposite true (where algos rule over data?)

Posted over 3 years ago.
4

One of the things about data science is that it's too broad and that's daunting. The breadth often confuses people as to where to start. So how and where does one get started?

Posted over 3 years ago.
4

What would you consider the core foundations of a strong data scientist? Are their particular resources/things to learn and do would highly recommend for any aspiring data scientist?

Posted over 3 years ago.
4

What is the next big jump of the Computer Science Education in the next years?

Posted over 3 years ago.
4

I love your "Learn Programming in Ten Years" post. Is the 10,000 hour rule sufficient for Data Science? Or is it require more time?

Posted over 3 years ago.
3

How important is causality (as opposed to prediction) in data science?

Posted over 3 years ago.
3

Given: Programmer looking for greener pasture.
Question: Are there a set of research topics under active debate that a novice ML'er can start jump in and learn from? Could you suggest hot areas where a n00b can participate?

Posted over 3 years ago.
3

If you're to pick one difficulty in trying to learn from data that when figured out, will change a whole lot in machine learning / data science, what would that be.

Posted over 3 years ago.
3

What aspects of data science belongs in the standard high school curriculum?

Posted over 3 years ago.
3

What are some good exit strategies for data scientists who don't want to keep doing data science?

Posted over 3 years ago.
3

What are your thoughts on the evolutionary programming techniques ?

Posted over 3 years ago.
3

What conditions would have to be respected for a machine to think?
What would made (or already makes) a machine think?

Posted over 3 years ago.
3

Is there an application of Data Science that could end world hunger and/or misery ? If so, what is Google waiting for to implement it ?

Posted over 3 years ago.
3

┬┐What is the problematic base currently hinders the development of Machine Learning arrive to daily life? (3 Key Problems to solve)

Posted over 3 years ago.
3

How do you find the right balance between studying vs doing? I've spent the past 3 years reading Oreilly books on various topics including python and data mining, and I've been taking moocs on Coursera and Udacity religiously for the past year and half. I find that the more I learn, the less I know, and there is very little time to learn everything I'm interested in. I'd like to start on some personal projects/startups at some point, but I'm not sure what determining factors there are for one to decide when he or she is "good" enough to focus more on "doing".

Posted over 3 years ago.
3

Is it possible for a beginner to get a job in DataScience field without Phd?
Does online MOOC Courses, training camps are good enough to learn things and get a job?

Posted over 3 years ago.
3

How important is data science for individuals interested in applied machine learning and deep learning ?

Posted over 3 years ago.
3

Do you believe we are approaching the questions presented by big data in the right way? If not, what changes would you make?

Posted over 3 years ago.
3

What Data Science and Machine Learning techniques can be applied to decision making in the field of Mobile Robotics? For instance, if a robot has to decide where to move next or which area of the environment to explore next; in your opinion, which Data Science algorithms are best related to taking this decision? Could you point out algorithms that could be applied in terms of state of the art algorithms and currently "research"/"under development" algorithms?

Posted over 3 years ago.
2

Hi Mr. Norvig.
According to you, what exactly distinguishes a data scientist from a machine learning scientist ? At what extent do their daily work differ ?

Posted over 3 years ago.
2

How can data scientists garner greater buy in from decision makers to adopt the results of their analysis?

Posted over 3 years ago.
2

Beyond coding and statistical knowledge, what other qualities or skills should a data scientist have or practice to improve their analysis abilities?

Posted over 3 years ago.
2

The human brain isn't simply a classifier or a clustering algorithm. What AI "problem" is most likely to lead to human level AI?

Posted over 3 years ago.
2

When choosing something to work on, how do you separate truth from hype ? In other words, what observations/heuristics have worked in your experience in cutting to the core of marketing hype.

Posted over 3 years ago.
2

How can machine learning be used to make things like machine learning easier to learn? And can "scoring" replace testing?

Posted over 3 years ago.
2

Which new concepts & algorithms would you add if you were to release a new edition of "a modern approach"?

Posted over 3 years ago.