atif riaz

[David Nuñez | Emerging Tech+Humans @davidnunez]

MIT applicants constantly ask me if they need a college degree to get a job in tech.

I've reviewed 1000s of résumés for technical roles, so here's what I tell prospective students:

[Santiago @svpino]

"Do I need a Ph.D. or a Master's degree to work as a machine learning engineer?"

No.

A lot of companies ask for degrees to weed out people that apply to jobs prematurely.

If you have the required skills and show your experience, the degree will not matter.

[atif riaz @attiriaz]

@svpino did you go for an OMSCS or on-campus program ?

[atif riaz @attiriaz]

@Austen No degree = No CS degree or No college education whatsoever?

[François Chollet @fchollet]

Life is extremely fragile. It's too easy to take good health for granted.

[Chip Huyen @chipro]

A reminder for those hoping to get a machine learning role at a startup in 2020: most startups aren't looking for ml experts. They want good engineers, sales people, developer advocates. But don't let that deter you. Hard work pays off, though not always in the form you expected.

[atif riaz @attiriaz]

@clemmihai Lifelong learning should be pursued, and ppls should acquire new skills to be relevant in the current dynamic enviornment. whatever they might be including coding, analytics etc

[Clement Mihailescu @clemmihai]

There’s no better year to learn how to code than 2020.

[World Economic Forum @wef]

How will the robot revolution affect the #futureofjobs? Read our new report here: https://t.co/wo0Uo31j4T #amnc18

[Kirk Borne @KirkDBorne]

The Global Advanced Analytics Market accounted for USD 7.56 Billion in 2017 and is projected to grow at a CAGR of 33.8% over the forecast period of 2018 to 2025: https://t.co/9Q0cGTdnIv #BigData #DataScience #MachineLearning #AI #IoT #DigitalTransformation

[François Chollet @fchollet]

Three challenges in our field

Hype -- Don't oversell. Talk about what you know.
Ethics -- Be aware of the potential for evil in applications of new tech. Do the right thing.
Science -- Empiricism is a valid way to produce new knowledge. So is theory. Hacks & obfuscation aren't.

[François Chollet @fchollet]

Strategy to become adept at something:

- Dedicate a few years to intense study, until you feel like you're good at it

- Walk away for a few years & explore many other fields, related or not

- Come back to your original field & master it again, now from a different perspective

[François Chollet @fchollet]

AI & robotics made tremendous progress from 1960 to 1970. Industrial robots in factories, first expert systems, ELIZA, SHRDLU, Shakey, and, yes, backprop.

"In from three to eight years we will have a machine with the general intelligence of an average human being" --Minsky, 1970

[What The F*** Facts @WhatTheFFacts]

Beethoven's teachers felt he was hopeless and that he would never succeed with the violin or in composing.

[Business Insider @BusinessInsider]

These are the world's fastest animals

[📈 Len Kiefer 📊 @lenkiefer]

updated #dataviz: consumer price trends since 2000 by major category

[atif riaz @attiriaz]

UCL final 2017
#JUVvsRM

[François Chollet @fchollet]

In general, technology is a leverage multiplier for human ingenuity. In the case of AI, this is strikingly, literally true.