This cheat sheet was produced by DataCamp, and it is based on the Keras library..Keras is an easy-to-use and powerful library for Theano and TensorFlow that provides a high-level neural networks API to develop and evaluate deep learning models. Originally posted here in PDF format. Click on the image below to zoom in. …Continue
Added by Data Geek on April 27, 2017 at 4:30pm — No Comments
This infographic was produced by Springboard, and it lists a few short online, inexpensive courses along with some university programs, leading to a certificate. The infographics provides some highlights for each program, for comparison purposes. For more data science programs and certificates, click here or…Continue
Added by Data Geek on April 26, 2017 at 10:00am — No Comments
By Winnifred Louis, Associate Professor, Social Psychology, The University of Queensland, and PhD Candidate in Social Psychology, The University of Queensland.…Continue
Added by Data Geek on March 29, 2017 at 8:30am — No Comments
This Python cheat sheet was produced by DataCamp. Click on the image to zoom in. The original, published here, is available as a PDF document. The translation from PDF to image format was done using PDF2PNG.
To check dozens of data science related cheat sheets,…Continue
Added by Data Geek on March 6, 2017 at 5:30pm — No Comments
This is a curated list of the most cited deep learning papers (since 2012) posted by Terry Taewoong Um.
Source for picture: …Continue
Added by Data Geek on March 6, 2017 at 8:00am — No Comments
This list of hand-picked leaders was compiled by Wojtek Aleksander, from GetResponse.com.
Other bigger lists (sometimes created by robots) can be found here and are usually based on your Klout score, which in my opinion is not accurate. The list below is truly original and I would even add, somewhat unexpected, as you won't find…Continue
Added by Data Geek on May 14, 2016 at 9:00am — No Comments
Starred articles are candidates for the picture of the week. A comprehensive list of all past resources is found here. We are in the process of automatically categorizing them using indexation and automated tagging…Continue
Added by Data Geek on May 6, 2016 at 8:30am — No Comments
According to Wikipedia, MongoDB is a cross-platform document-oriented database. Classified as a NoSQL database, MongoDB avoids the traditional table-based relational database structure in favor of JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster. MongoDB is developed by MongoDB Inc. and is published as free and open-source software. MongoDB is the fourth most popular type of database…Continue
Added by Data Geek on May 3, 2016 at 9:00am — No Comments
These are the findings from a CrowdFlower survey. Data preparation accounts for about 80% of the work of data scientists. Cleaning data is the least enjoyable and most time consuming data science task, according to the survey. Interestingly, when we asked the question to our data scientist, his answer was:…Continue
Interesting article posted recently in MIT Technology Reviews. What kind of metrics would help detect such tweets? We think the following might be useful:
This long article with a lot of source code was posted by Suraj V Vidyadaran. Suraj is pursuing a Master in Computer Science at Temple university primarily focused in Data Science specialization. His areas of interests are in sentiment analysis, data visualization, big data and machine learning.
This data is obtained from UCI Machine learning repository. The purpose of the…Continue
Added by Data Geek on March 13, 2016 at 9:30am — No Comments
This applies to many tech job interviews. But here we provide specific advice for data scientists and other professionals with a similar background. More advice is being added regularly.
Here's the list:
Great article by Mike Ferguson. Articles about the big data, AI, data science or IoT ecosystems are always popular. Many have been posted here (see screenshot below):
Sometimes, the keyword…Continue
Added by Data Geek on February 22, 2016 at 11:30am — No Comments
Model evaluation metrics are used to assess goodness of fit between model and data, to compare different models, in the context of model selection, and to predict how predictions (associated with a specific model and data set) are expected to be accurate.
Feature selection is one of the core topics in machine learning. In statistical science, it is called variable reduction or selection. Our scientist published a methodology to automate this process and efficiently handle la large number of features (called variables by statisticians). Click here for details.
Here, we mention an article published by Isabelle Guyon…Continue
Added by Data Geek on February 14, 2016 at 4:00pm — No Comments
This article focuses on cases such as Facebook and protein interaction networks. The article was written by By Paul Scherer (paulmorio) and submitted as a research paper to HackCambridge. What makes this article interesting is the fact that it compares five clustering techniques for this type of problems:
Added by Data Geek on February 13, 2016 at 8:00am — No Comments
Below you will find the abstract and the table of content. Interestingly, Andrew Gelman and Vincent Granville (our data scientist)…Continue
Added by Data Geek on February 10, 2016 at 8:30am — No Comments
This article was written by Natasha Latysheva. Here we publish a short version, with references to full source code in the original article.
Our internal data scientist had a few questions and comments about the article:
You did all the right things: