Breaking Through the Cost Barrier to Deep Lea

*Summary:** Remember when we used to say data is the new oil. Not anymore. Now Training Data is the new oil. Training data is proving to be the single greatest…*

*Summary:** How about we develop a ML platform that any domain expert can use to build a deep learning model without help from specialist data scientists, in a fraction…*

Poker, Probability, Monte Carlo, and R

My daughter just started a business analytics Master's…

Blog Poker, Probability, Monte Carlo, and R 3 Likes A Comprehensive List Of R Packages For PortfoR language is a free statistical computing environment; hence there are multiple ways/packages to achieve a particular statistical/quantitative output. I am going to…

Blog A Comprehensive List Of R Packages For Portfo 3 Likes Temporal Convolutional Nets (TCNs) Take Over*Summary:**Our starting assumption that sequence problems (language, speech, and others) are the natural domain of RNNs is being challenged. Temporal Convolutional…*

Five point-strategy to avoid analysis-paralys

Analysis-paralysis - sounds familiar? Almost, as if you are driving on ice,…

Blog Five point-strategy to avoid analysis-paralys 1 Like Deciphering information and misinformation: IThey are in combat side-by-side, staring back at you like identical twins, one of them will help you and the other one will hurt you, who are they?

They are information and…

Blog Deciphering information and misinformation: I 1 Like Why Are Data Science Leaders Running for the*Guest blog post by Edward Chenard, Contributor at DataScience.com.…*

The following simulation is based on a presentation that I attended in the 1990s. I was an investment junkie back then. I sat down, and I listening to people speak about their ideas on making…

Blog Seduction of Success 1 Like
Data Fallacies to Avoid | An Illustrated Coll
Blog
Data Fallacies to Avoid | An Illustrated Coll
12 Likes
Extending churn analysis to revenue forecasti

In this article we will review application of clustering to customer order data in three parts. First, we will define the approach to developing the cluster model including derived predictors and…

Blog Extending churn analysis to revenue forecasti 8 Likes Machine Learning Explained: Understanding Sup

Machine Learning is guiding Artificial…

Blog Machine Learning Explained: Understanding Sup 5 Likes Data Scientists 4.0**Data Scientists 4.0**

The…

Blog Data Scientists 4.0 3 Likes 5 Myths About PhD Data Scientists**Myth #1**: You can only do research in an academic setting. Not true. There are plenty of research labs owned by big and small companies and organizations, including…

If many of your clients don’t understand the difference between artificial intelligence (AI) and intelligent systems,…

Blog Intelligent Systems Vs. Artificial Intelligen 1 Like List of Must – Read Free Data Science BooksData science is an inter-disciplinary field which contains methods and techniques from fields like statistics, machine learning, Bayesian etc. They all aim to generate specific…

Blog List of Must – Read Free Data Science Books 4 Likes
How much rain can you count

On the fifth day of February 2017, I embarked upon this journey…

Blog How much rain can you count 1 Like Your Journey to Data Science Maturity (by Kir Blog Your Journey to Data Science Maturity (by Kir 2 Likes Data Science Graphs (without the code!)If you read my blog then you'll probably realize there are a few data…

Blog Data Science Graphs (without the code!) 6 Likes
Searching on Google Maps using RStudio

Today I've just faced one challenge...

I work on one project, and we need to decide which assets from this company will be visited initially.

As every project, we have limited budget,…

In this script, we will explore the open roles at Google, and try to see what common attributes Google is looking for, in future employees.

This dataset contains text information…

Blog Who will get hired at Google? 9 Likes© 2019 Data Science Central ® Powered by

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