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Dec 7, 2016

Learning Python Regression Analysis — part 4 : Multiple Linear Regression

In the previous posts we saw setups, OLS and simple linear regressions. Multiple Linear Regression is similar to simple linear regression but the major difference being that we try to establish linear…

5 responses

Laurae in Data Science & Design

Dec 7, 2016

Understanding a bit xgboost’s Generalized Linear Model (gblinear)

Laurae: This post is about xgboost’s gblinear and its parameters. Elastic Net? Generalized Linear Model? Gradient Descent? Coordinate Descent?… The post was originally at Kaggle.

Learning Python Regression Analysis — part 2 : Gearing up with simple linear regression

In part 1, we started with basic setups. Regression analysis can be defined as the process to find these best-fit models, which also hold our assumptions, is exploratory in nature…

1 response

Carlos E. Perez in Intuition Machine

Dec 7, 2016

The Only Way to make Deep Learning Interpretable is to Have it Explain Itself

Westworld: Programming AI to Feel Pain

At the time of writing I have only watched the first episode of Westworld. I live tweeted my thoughts on the AI and robotics in the show as I watched. I’ve archived my annotated tweets.

Learning Python Regression Analysis — part 3 : Ordinary Least Squares

In the previous section we have covered the basics of the simple linear regression.

Usage of Ordinary Least Squares (OLS) method to estimate the best-fit model for simple linear…

Face Detection on Cloud Foundry

Joint work by Dat Tran (Senior Data Scientist) and Andreas Fleig (Senior Software Engineer).

Motivation

Computer vision (CV), a subfield of artificial intelligence, has been a hot topic for quite a while now with a…

1 response

Ross Fadely in Insight

Dec 7, 2016

NIPS 2016 — Day 2 Highlights: Platform wars, RL and RNNs

— Jeremy Karnowski & Ross Fadely, Insight Artificial Intelligence

40+ Python Statistics For Data Science Resources

Originally published at https://www.datacamp.com/community/tutorials/python-statistics-data-science

According to our “Learn Data Science In 8 (Easy) Steps” infographic, one of the first steps to learn data science is to…

Learning Python Regression Analysis — part 1 : Setups

Have you ever thought about the relationship between rainfall and air pressure, cold-drink sales and temperature or patient health with physical activity? To provide evidence to any such theoretical relationships in our mind, we need to…

Joseph Aamidor

Dec 7, 2016

What Amazon Go teaches us about opportunities in smart buildings

This week, Amazon unveiled its new Go prototype retail store, which will open to the general public in 2017. Some have said the store is more of a marketing exercise than a real business, but as an experienced product…

Karl N. in Gab41

Dec 7, 2016

NIPS 2016 Review, Day 2

A Lab41 Perspective

Why good morning again, fellow machine learners. It’s another day at NIPS, and what a marathon. The sessions ran from 9am to 9pm last night, and I was there for most of it! (Check out my NIPS 2016 Review, Day 1 for the low-down…

Laurae in Data Science & Design

Dec 7, 2016

CPU Maximum Power for $1,000 (non desktop)

Laurae: This post is about what Intel CPU to look for if you want a powerful server/workstation. This is an insight from my “IT background” I do not even have (I hold over 40+ IT certifications, duh). If you do not know what to look for, ask on Reddit on…

Mining the Common App: Part 2

This is the second installment of Mining the Common App. As a quick refresher, I had the recent opportunity of working on a cool data project with AdmitSee, an online college application resource. In Part 1, I talked about the process of building a classifier that predicts a…

Phillip Caudell in Founders Factory

Dec 7, 2016

We built an award-winning product to help the visually impaired in under 48 hours. Here’s how we did it.

NYU Center for Data Science in Center for Data Science

Dec 7, 2016

Gathering the Natural Language Processing community

Center for Data Science Professors Sam Bowman and Kyunghyun Cho host our first NLP reception

Laurae in Data Science & Design

Dec 7, 2016

“This leaderboard is calculated on all of the test data.” (meme)

Laurae: the topic post can be found on Kaggle.

Laurae wrote:

(until we all read: “(not available until the second stage of the competition)”)

Stine Sørensen

Dec 7, 2016

Today we created our very first chatbot . . . and it sucked, but it was hilarious!

Artificial Intelligence will Help Marketers Focus on What’s Important

14ideas

Dec 6, 2016

Artificial Intelligence and Business

by Brandon Smith

Kevin Kelly’s book “The Inevitable”, left me with many takeaways about the future of business in the upcoming years. His lesson on artificial intelligence and the implications it has on the business world really stood out…

Ramesh Panuganty

Dec 6, 2016

9 flaws that make voice assistants fundamentally wrong

Auth0

Dec 7, 2016

Machine Learning for Everyone

We all know that machine learning is about handling data, but it also can be seen as:

Max Lloyd

Dec 7, 2016

Linear Regression online analyzer

In the past i have written about Linear Regression (simple and multiple). This week I decided to do…

Taylor Stockwell

Dec 7, 2016

How Did a Time Machine Help Launch IBM’s Watson Analytics?

Marty McFly Rocks!

When I was a teenager, every one of my friends wanted a DeLorean. We didn’t care whether it could go back in time or not. Now that I’m older, that whole time travel thing looks pretty…

D. Schmudde

Dec 7, 2016

AARON and Watson — Beauty and Brains

AARON is a painter. It has an evolving, although restricted, creative process — exploring…

1 response

Sanjay Parthasarathy in Indix

Dec 7, 2016

The Critical Role of APIs — Part 2

In my previous post, I discussed how cloud-based APIs are redefining everything we do in the…

Sudha Jamthe in MachineBots

Dec 7, 2016

Talks: Business Disruption of IoT and AI

Cognitive IoT is the junction of IoT and AI. Now what does the business of Cognitive AI look like?

I presented just on this topic at EBusiness 2016 in Siam Technology College, Thailand on Nov 17th 2016. Here’ my video on demand of my…

Opentopic

Dec 7, 2016

OPENTOPIC AND IBM WATSON MAKING PREDICTION FOR TIME INC’

For every year since 1927, TIME has selected the most influential person of the year. From presidents to protesters, astronauts to activists, each selection reflects the person — or idea — who has most influenced the news and our…

Pradeep Sharma

Dec 7, 2016

How Artificial Intelligence Is Solving Mind Games

Dani Morillas

Dec 7, 2016

Artificial Intelligence vs Machine Learning

I don’t know if it’s only me, but I’ve seen lately growing a lot the number of articles talking about AI and how it’s going to affect us in a near future. Robots dreaming or the future of jobs with robots make us think that we are now closer than farther…

WONSEOK CHAE

Dec 6, 2016

Yet another reading on “History of Neural Nets”

Realizing my ignorance while reading Fortune article, I decided to further read about neural nets and found a gem: “A ‘Brief’ History of Neural Nets and Deep Learning” by Andrey Kurenkov.

The predominant thought [in the…

December 06, 2016

December 08, 2016