Added by Amelia Matteson on August 30, 2017 at 6:00pm — No Comments
Added by Amelia Matteson on August 29, 2017 at 3:00pm — No Comments
This article was written by Sondos Atwi.
What is Cross-Validation?
In Machine Learning, Cross-validation is a resampling method used for model evaluation to avoid testing a model on the same dataset on which it was trained. This is a common mistake, especially that a separate testing dataset is not always available. However, this usually leads to inaccurate…Continue
Added by Amelia Matteson on August 28, 2017 at 7:00pm — No Comments
This article comes from a writer at Steemit.
First off, let me say: this topic is vast. In my article, I’ll try to boil down the main facts, but be warned, you should investigate the matter on your own to learn more.
Hope I can set you on the right path at least. Lets dive in!…Continue
Added by Amelia Matteson on August 27, 2017 at 4:30pm — No Comments
This article was written by Prashant Gupta. Gupta is a machine learning engineer, Android developer, and tech enthusiast.
Tired of getting low accuracy on your machine learning models? Boosting is here to help. Boosting is a popular machine learning algorithm that increases accuracy of…Continue
Added by Amelia Matteson on August 25, 2017 at 2:30pm — No Comments
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