recentpopularlog in

whip_lash : ai   13

Practical Deep Learning for Coders 2019 ·
Launching today, the 2019 edition of Practical Deep Learning for Coders, the third iteration of the course, is 100% new material, including applications that have never been covered by an introductory deep learning course before (with some techniques that haven’t even been published in academic papers yet). There are seven lessons, each around 2 hours long, and you should plan to spend about 10 hours on assignments for each lesson.
ai  machinelearning  programming  deeplearning  ml  tutorial  datascience  education  python 
january 2019 by whip_lash
CS 188: Introduction to Artificial Intelligence, Fall 2018
This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.
ai  machinelearning  courses  education 
january 2019 by whip_lash
GitHub - dibgerge/ml-coursera-python-assignments: Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
This repositry contains the python versions of the programming assignments for the Machine Learning online class taught by Professor Andrew Ng. This is perhaps the most popular introductory online machine learning class. In addition to being popular, it is also one of the best Machine learning classes any interested student can take to get started with machine learning. An unfortunate aspect of this class is that the programming assignments are in MATLAB or OCTAVE, probably because this class was made before python become the go-to language in machine learning.

The Python machine learning ecosystem has grown exponentially in the past few years, and still gaining momentum. I suspect that many students who want to get started with their machine learning journey would like to start it with Python also. It is for those reasons I have decided to re-write all the programming assignments in Python, so students can get acquainted with its ecosystem from the start of their learning journey.
ai  education  machinelearning  programming  python  tutorial 
september 2018 by whip_lash
Deep Learning For Coders—36 hours of lessons for free
Welcome to the 2018 edition of's 7 week course, Practical Deep Learning For Coders, Part 1, taught by Jeremy Howard (Kaggle's #1 competitor 2 years running, and founder of Enlitic). Learn how to build state of the art models without needing graduate-level math—but also without dumbing anything down. Oh one other thing... it's totally free!
ai  data  machinelearning  tutorial  courses 
september 2018 by whip_lash
Introduction to Bayesian networks
This article provides a general introduction to Bayesian networks.
ai  statistics 
june 2018 by whip_lash
Tech Giants Are Paying Huge Salaries for Scarce A.I. Talent - The New York Times
To bring in new A.I. engineers, companies like Google and Facebook are running classes that aim to teach “deep learning” and related techniques to existing employees. And nonprofits like and companies like, founded by a former Stanford professor who helped create the Google Brain lab, offer online courses.
ai  career 
april 2018 by whip_lash
No wonder Marvin the robot was miserable: AI will make the rich richer – and the poor poorer • The Register
They anticipate a period like the Great Depression, when agricultural innovations meant fewer workers were needed to produce food, reducing agricultural prices and incomes, and thereby driving down demand for urban products.

economics  ai  business 
january 2018 by whip_lash
Don't Ask Siri About Your Weird Sex Thing - Motherboard
Google Assistant performed better than Siri in general, answering queries with information from more reputable sources. Siri frequently misunderstood the spoken words or failed to return relevant results.

apple  google  siri  ai 
december 2017 by whip_lash
Can You Live Forever? Maybe Not--But You Can Have Fun Trying: Scientific American
"There are going to be machines that are cleverer than we are," Marcus said. It is time, he believed, to start planning for that world. It doesn't matter whether those of us alive today get to see it or not. Even if Fiesta Omelets don't keep us alive for decades, our grandchildren or great-grandchildren may still have to cope with our too-clever creations. We owe it to them to get ready—if not for the Singularity, then at least for a life different from our own.
ai  singularity 
january 2011 by whip_lash

Copy this bookmark:

to read