This article was written by Adit Deshpande.
This is the 3rd installment of a new series called Deep Learning Research Review.
Introduction to Natural Language Processing:
Added by Amelia Matteson on August 23, 2017 at 2:30pm — No Comments
This article was written by Nathan Yau.
It used to be that we’d see a poorly made graph or a data design goof, laugh it up a bit, and then carry on. At some point though — during this past year especially — it grew more difficult to distinguish a visualization…
This article was written by Aatash Shah.
Many people have this doubt, what’s the difference between statistics and machine learning? Is there something like machine learning vs. statistics?
From a traditional data…
This article was written by Jason Brownlee.
Artificial neural networks are a fascinating area of study, although they can be intimidating when just getting started. There are a lot of specialized terminology used when describing the data structures and algorithms used in the field. …Continue
Added by Amelia Matteson on August 11, 2017 at 9:00am — No Comments
This article was written by Taras Firman.
Today, businesses need to be able to predict demand and trends to stay in line with any sudden market changes and economy swings. This is exactly where forecasting tools, powered by Data Science, come into play, enabling organizations to successfully deal with strategic and capacity planning.…Continue
Added by Amelia Matteson on August 10, 2017 at 3:30pm — No Comments
This article was written by Melissa Bierly.
If you use Excel at work, you’re probably frustratingly familiar with this dialog box:
You’ve probably also worked on a spreadsheet that was painfully slow to edit,…Continue
Added by Amelia Matteson on August 8, 2017 at 10:00am — No Comments
This article was written by Thomas Maydon. Maydon is the Head of Credit Solutions at Principa and has primarily been involved in consulting, analytics, credit bureau and predictive modeling services.
Simplistically, analytics can be divided into four key categories. I'll explain these four in more detail…Continue
Added by Amelia Matteson on August 7, 2017 at 11:30am — No Comments
Guest blog by Pablo Cordero. Pablo is currently a postdoc at UCSC’s systems biology group, doing applied machine learning research in the context of cell biology and regenerative medicine, particularly looking at single-cell measurements. He is also consulting from time to time. He can be contacted here.
Added by Amelia Matteson on August 5, 2017 at 11:30am — No Comments
This article was written by Jacob Joseph.
Unlike evaluating the accuracy of models that predict a continuous or discrete dependent variable like Linear Regression models, evaluating the accuracy of a classification model could be more complex and time-consuming.Before measuring the accuracy of classification models, an analyst would first…Continue
Added by Amelia Matteson on July 31, 2017 at 9:00am — No Comments
This article was written by John Hammink. John Hammink is an American engineer, musician, artist and linguist, with his own entry in Wikipedia. …
Added by Amelia Matteson on July 26, 2017 at 2:00pm — No Comments
This article was written by Harshit Sharma.
Successful detection and classification of traffic signs is one of the important problem to be solved if we want self driving cars. Idea is to make automobiles smart enough so as to achieve least human interaction for successful automation. Swift rise in dominance of deep…
Added by Amelia Matteson on July 20, 2017 at 2:30pm — No Comments
This article was written by Michael Rundell.
A Curated List of Data Science Interview Questions
Preparing for an interview is not easy – naturally there is a large amount of uncertainty regarding the data science interview questions you will be asked. No matter how much work experience or technical skill you have, an interviewer can throw you off with a set of…Continue
This article was written by Hannah Augur.
Global warming. For a topic as massive, important, and (somehow) controversial, big data is a clear option for sorting through the muck. What information is reliable? What solutions are realistic? When a global…Continue
This article was written by Jim McClelland. Jim is a sustainable futurist, speaker, writer and social-media commentator. His specialisms include built environment, corporate social responsibility and ecosystem services.…Continue
Added by Amelia Matteson on July 14, 2017 at 10:30am — No Comments
Added by Amelia Matteson on July 13, 2017 at 11:00am — No Comments
This article was written by Madison from PeopleMaven
I came across this piece that talks about interesting articles that might be helpful for…Continue
Added by Amelia Matteson on July 12, 2017 at 3:00pm — No Comments
This article was written by Kaz Sato.
You may have heard the buzz about neural networks and deep learning, and want to learn more. But when you learn about the technology from a textbook, many people find themselves overwhelmed by mathematical models and formulas. I certainly was.
For people like me, there's an awesome tool to…Continue
Added by Amelia Matteson on July 9, 2017 at 7:00pm — No Comments
The post is by Joseph Macwan. He is technical writer with a keen interest in business, technology and marketing topics.…Continue
Added by Amelia Matteson on July 7, 2017 at 8:00am — No Comments
This article is written by Gunnar Carlsson.
Topological data analysis has been very successful in discovering information in many large and complex data sets. In this post, I would like to discuss the reasons why it is an effective methodology.
One of the key messages around topological data analysis is that data has shape and the shape matters. Although it may…Continue
Added by Amelia Matteson on January 18, 2017 at 12:30pm — No Comments