Machine Learning

Learning Python Regression Analysis — part 9: Tests and Validity for Regression Models

Standard assumptions for regression analysis

1. Linear relationship

MOOCs for Machine Learning

There are many-many MOOCs online related to Machine Learning. Be it stats or machine learning models or even core math, there is a lot of content available online and for someone who is just starting with machine learning on their own, it can become pretty daunting, like it became…

How AI Is (and Will Be) Transforming Business

From ad optimization and chatbots to content strategy

FlightPredict II: The Sequel

Predict flight delays (now with PixieDust)

IBM Watson Turns Its Computer Brain to NASA Research

IBM’s cloud-based cognitive system is taking on…

SDC ND Project 1 — Finding Lane Lines

Hi all,

Here, I explain roughly my implementation of the draw_lines() function for Project 1 of Udacity’s Self Driving Car Nanodegree. Here’s the code working with the challenge video:

Machine Learning with Austin BCycle

Predicting bike rentals with machine learning

With a little help from their engineers: how tech companies decide what your internet looks like.

How to Get started with Machine Learning?

Machine learning has been a hot topic this days and if you’re like me you’ve been…

EVALUATION OF RORSCHACH TEST RESULTS OF ARTIFICIAL INTELLIGENCE

Generally speaking, the amount of answers are higher than the norms. Looking deeper into each card, as the amount of answers increase, the contents of the answer gets spoiled. It is worth noting that the AI itself also…

Artificial Intelligence in Health Care Weekly Roundup #6

Machine learning is revolutionizing healthcare.
Here are some…

Driving performance of augmentation based deep learning technique using Udacity data

In an earlier post, we saw how to use augmentation techniques to teach a deep learning neural network to drive a car in driving simulator. The data for the previous post was obtained by…

Episode 1— Name This Data Science Podcast

Yep, I’m launching a data science podcast.

A.I. Threat or Opportunity

By David Yang, co-founder of Findo

As a youth, my friends and I read magazines like “Young Technician”, “Quantum”, “Science and Life”, along with sci-fi novels by Sheckley, Bradbury and Asimov. Even so we could not imagine how quickly artificial…

AI needs the open Internet and other things we learned because of Brexit

Sir Tim Berners-Lee has championed a major upgrade to the World Wide Web for several years now. He calls it the Semantic Web. It’s a design standard for connecting data, not just web pages.

Good AI Resources

short URL: chief.sc/ai-resources

The modern (post-Deep Learning) Artificial Intelligence is a blend of Machine Learning, Natural Language Processing, Logical and Statistical AI of yore and Data Science, the latter a practice of building data-driven…

Great article — maybe 2017 will be the year Big Data goes through the “trough of disillusionment”? There are signals pointing to the realization many things are wrong with digital marketing, digital analytics, and data science in general. In all cases, the root cause isn’t technology nor is it data, it is “people”: bridging the gap between various…

Connecting Humans with What They Need

Artificial Intelligence in 2017

Intelligenza Artificiale Generale, Debole e Forte

E’ davvero possibile realizzare computer in grado di pensare come la mente umana?

AI: can small businesses use artificial intelligence to improve their finances?

Does your marketing pass the Turing Test?

Software engineers and data scientists may raise an eyebrow when I say this, but more than any other discipline, I think marketing may be building machines that can pass (or have passed) the Turing Test.

As someone not familiar with this issue, could you elaborate?

A VERY good introduction to AI. This is pretty deep, not just some usual fluff, and deserves careful attention. I learned something too — I think most people overestimate their knowledge. Never hurts to get hard information — and for those who are just beginning on AI (which is almost everyone), this is an excellent start.

Hi VM,

We are separated by 3 years chronologically. I have been doing quantitative work for about 40 years, including a lot of programming. I can tell you that your article contains a lot of wisdom about the choice you are making.

Embracing our robot overlords

If you can’t beat ’em, understand ’em

Tech / Telecom news — 19 Dec 2016

PRODUCTS & SERVICES

Enterprise / Cloud

A partner at Andreessen Horowitz predicts the “end of the Cloud”, even if many firms have yet to start using it. As increasingly complex connected devices proliferate at the edge…

How Deep Learning is Transforming the Future of Technology?

There is no doubt that Big Data has been one of the most popular topics among marketers and tech enthusiasts for several years. Within the big data domain one of the most promising fields is deep learning which has evolved into one of tech’s most exciting and…

Amazon shows off machine learning capabilities at AWS re:Invent, FitBit set to purchase Pebble and using behavioural design to create addictive products

Be Human. Let the Machines Take Care of the Rest

YOU SAY YOU WANT A REVOLUTION

De 6 must-know’s voordat je start met Machine Learning

Het is mogelijk om met Artificial Intelligence de toekomst te voorspellen. Machine Learning is een vorm van Artificial Intelligence waarbij de machine zichzelf patronen aanleert. Bij het implementeren van Machine learning worden er een…

Voorspellen of een gebruiker lid blijft

De toekomst voorspellen wie wil dat nu niet? We zijn een stap dichter bij deze droom gekomen door gebruik te maken met Artifical Intelegence. In dit artikel geef ik een sneak preview op basis van een demo case en stukje theorie. We hebben Machine Learning…

Hey samim, a couple things: perfunctory One: great idea!

2) is it just an idea? Or has it been put into practice?

3) the name “don’t worry be happy” followed by terms like “seeks to,” implies an A.I. level of sentience I’m not sure I’m comfortable with. By that I mean it’s creepy.

Microsoft collaborates with an eye care institute touse machine learning to fight blindness