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Top Ways to Improve Field Reporting with Mobile Apps in 2017

Here are several top ways to improve the quality of your team’s field reporting procedures with a little help from mobile applications in 2017.

Educate Your Team Members

It does not matter what type of field reporting apps you have provided to your team. If they have no idea how to use them effectively and efficiently, you will soon realize that they are more of hassle than a helpful tool. Before rolling out the app to your…

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Added by Alisha Gupta on April 27, 2017 at 10:30pm — No Comments

Deep Learning Cheat Sheet (using Python Libraries)

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. …

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Added by Data Geek on April 27, 2017 at 4:30pm — No Comments

18 Great Blogs Posted in the last 12 Months

This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back. 

18 Great Blogs Posted in the last 12 Months…

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Added by Vincent Granville on April 27, 2017 at 8:07am — No Comments

Thursday News: AI, Python, Hadoop, ML, Data Science, Automation

Here is our selection of featured articles and resources posted since Monday:

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Added by Vincent Granville on April 27, 2017 at 5:36am — No Comments

Re-thinking Enterprise business processes using Augmented Intelligence

In the 1990s, there was a popular book called Re-engineering the Corporation. Looking back now, Re-engineering certainly has had a mixed success – but it did have an impact over the last two…

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Added by ajit jaokar on April 26, 2017 at 9:39pm — No Comments

Which machine learning algorithm should I use?

By Hui Li, Principal Staff Scientist, Data Science, at SAS.

A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is “which algorithm should I use?” The answer to the question varies depending on many factors, including:

  • The size, quality, and nature of data.
  • The available computational time.
  • The urgency of the task.
  • What you want to do with the data.

Even an experienced data…

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Added by Vincent Granville on April 26, 2017 at 6:30pm — 1 Comment

Book: Data Science for the Layman: No Math Added

Want to get started on data science? Our promise: no math added.

This book has been written in layman’s terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations and visuals.…

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Added by Vincent Granville on April 26, 2017 at 3:00pm — 1 Comment

Key Machine Learning PreReq: Viewing Linear Algebra through the right lenses

Guest blog by Ashwin Rao. Ashwin is Vice President, Data Science & Optimization at Target.

The tech industry has gone berserk - everyone wants to develop “skills in Machine Learning and AI” but few are willing to put in…

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Added by Vincent Granville on April 26, 2017 at 2:58pm — No Comments

Enterprise AI Landscape - Infographic

Added by Tim Matteson on April 26, 2017 at 1:04pm — 2 Comments

18 Data Science Certificates Rated

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…

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Added by Data Geek on April 26, 2017 at 10:00am — No Comments

The [Marketing Data Scientist’s] Search for a Home: Part I

A thought provoking series that gives my account of becoming a marketing data scientist hybrid during one of the most chaotic times in the marketing industry, the Big Data boom. In the series, I discuss my enlightenment, highlight challenges to the modern marketer and those who have developed several skills classically associated with Data Scientists; conclude with recommendations for my peers and the marketing industry. The overlap of responsibilities and required skills among Data Analyst,…

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Added by Allyn Fowler on April 26, 2017 at 9:30am — No Comments

Introduction to Principal Component Analysis

This formula-free summary provides a short overview about how PCA (principal component analysis) works for dimension reduction, that is, to select k features (also called variables) among a larger set of n features, with k much smaller than n. This smaller set of k features built with PCA is the best subset of k features, in the sense that it minimizes the variance of the residual noise when fitting data to a…

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Added by Vincent Granville on April 26, 2017 at 8:30am — 2 Comments

Keeping Your Job in the Age of Automation

Summary:  What are the real threats of job loss from real and AI enhanced virtual robots?  How do we position ourselves and our children to succeed in this new environment?

 …

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Added by William Vorhies on April 25, 2017 at 8:09am — No Comments

Handling imbalanced dataset in supervised learning using family of SMOTE algorithm.

Consider a problem where you are working on a machine learning classification problem. You get an accuracy of 98% and you are very happy. But that happiness doesn’t last long when you look at the confusion matrix and realize that majority class is 98% of the total data and all examples are classified as majority class. Welcome to the real world of imbalanced data sets!!…

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Added by Rohit Walimbe on April 24, 2017 at 10:00pm — No Comments

Open Source Deep Learning Frameworks and Visual Analytics

Deep Learning gets more and more traction. It basically focuses on one section of Machine Learning: Artificial Neural Networks. This article explains why Deep Learning is a game changer in analytics, when to use it, and how Visual Analytics allows business analysts to leverage the analytic models built by a (citizen) data scientist.

What is Deep Learning and Artificial Neural Networks?

Deep Learning is the modern buzzword for artificial neural networks, one of many concepts…

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Added by Kai Waehner on April 23, 2017 at 9:00am — No Comments

7 Reasons you should learn Python now

Python is a favorite among many developers for its strong emphasis on readability and efficiency, especially when compared to other languages like Java, PHP, or C++.

 

Sure, it’s old, but it’s 1980s old, not Cobol or Fortran old. Besides, if something works, why change it, especially when there are a so many ways to improve it.

 

Actually, depending on how you view it, longevity is a good thing in itself—a…

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Added by Venkatesan M on April 23, 2017 at 6:30am — No Comments

Weekly Digest, April 24

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Featured Resources and Technical Contributions

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Added by Vincent Granville on April 22, 2017 at 6:00am — No Comments

Beyond SMAC – Digital twister of disruption!!

Have your seen the 1996 movie Twister, based on tornadoes disrupting the neighborhoods? A group of people were shown trying to perfect the devices called Dorothy which has hundreds of sensors to be released in the center of twister so proper data can be collected to create a more advanced…

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Added by Sandeep Raut on April 22, 2017 at 4:30am — No Comments

Variable Reduction: An art as well as Science

Variable reduction is a crucial step for accelerating model building without losing the potential predictive power of the data. With the advent of Big Data and sophisticated data mining techniques, the number of variables encountered is often tremendous making variable selection or dimension reduction techniques imperative to produce models with acceptable accuracy and generalization. The temptation to build an ecological model using all available information (i.e., all variables) is hard to…

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Added by Valiance Solutions on April 21, 2017 at 9:20pm — No Comments

Deep Learning Meets Recommendation Systems

Contributed by Wann-Jiun Ma.  

Introduction



Almost everyone loves to spend their leisure time to watch movies with their family and friends. We all have the same experience when we sit on our couch to choose a movie that we are going to watch and spend the next two hours but can't even find one after 20 minutes. It is so disappointing. We definitely need a computer agent to provide movie recommendation to us when we need to…

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Added by NYC Data Science Academy on April 21, 2017 at 11:00am — No Comments

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