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May 2019 Blog Posts (109)

Successful Augmented Analytics Initiatives Do Not End with Implementation!

The successful implementation of an augmented analytics solution for business users is not just about choosing a cost-effective tool and completing a timely deployment, nor does the process stop with training. In order to get business users to embrace and adopt self-serve augmented data discovery tools, the enterprise must approach the implementation with appropriate change management processes.

If you want a business user or a team to align with the Citizen Data…

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Added by Kartik Patel on May 21, 2019 at 1:30am — No Comments

Prediction of Customer Churn with Machine Learning

Machine Learning is the word of the mouth for everyone involved in the analytics world. Gone are those days of the traditional manual approach of taking key business decisions. Machine Learning is the future and is here to stay.

However, the term Machine Learning is not a new one. It was there since the advent of computers but has grown tremendously in the last decade due to the massive amounts of data that’s getting generated, and the enormous computational power that modern-day…

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Added by Divya Singh on May 20, 2019 at 10:30pm — No Comments

Deep Learning Explainability: Hints from Physics


Nowadays, artificial intelligence is present in almost every part of our lives. Smartphones, social media feeds, recommendation engines, online ad networks, and navigation tools are some…

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Added by Marco Tavora on May 20, 2019 at 11:46am — No Comments

Should You Be Recommending Deep Learning Solutions in Your Company?

Summary:  If you are guiding your company’s digital journey, to what extent should you be advising them to adopt deep learning AI methods versus traditional and mature machine learning techniques.

 

By now everyone is at least familiar with using AI/ML as a required cornerstone of company strategy.  Frequently…

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Added by William Vorhies on May 20, 2019 at 8:33am — 1 Comment

A Complete Machine Learning Project Walk-Through in Python: Part One

This article was written by Will Koehrsen.

 Reading through a data science book or taking a course, it can feel like you have the individual pieces, but don’t quite know how to put them together. Taking the next step and solving a complete machine learning problem can be daunting, but preserving and completing a first…

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Added by Andrea Manero-Bastin on May 20, 2019 at 6:30am — No Comments

Top 10 Neural Network Architectures

This article was written by James Le.

Some examples of tasks best solved by machine learning include:

  • Recognizing patterns: Objects in real scenes, Facial identities or facial expressions, Spoken words.
  • Recognizing anomalies: Unusual sequences of credit card transactions, Unusual patterns of sensor readings in a nuclear power…
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Added by Andrea Manero-Bastin on May 20, 2019 at 6:00am — No Comments

Data Science Central Monday Digest, May 20

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. To subscribe, follow this link.  

Announcements

  • Machine…
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Added by Vincent Granville on May 19, 2019 at 3:00pm — No Comments

Quantum Simulator Qubiter now has a native TensorFlow backend



I am pleased to announce that my quantum simulator Qubiter (available at GitHub, BSD license) now has a native TensorFlow Backend-Simulator (see its class `SEO_simulator_tf`, the `tf` stands for TensorFlow). This complements Qubiter's original numpy simulator (contained in its class `SEO_simulator`). A small step for Mankind, a giant leap for me! Hip Hip Hurray!

This means that Qubiter can now…

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Added by Robert R. Tucci on May 19, 2019 at 11:30am — No Comments

Frame a problem as a machine learning problem or otherwise

This is not very simple to choose a machine learning method and letting it go wild on the data. Particularly, understanding the core business problem and objective of the outcome and frame accordingly is one of the vital factors in machine learning. A general approach is difficult to recommend without intimate knowledge of the data. However, it sounds like we need to formalize the aspects of your model. Following questions may help to decide on machine learning problem or…

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Added by Ariful Islam on May 19, 2019 at 9:00am — No Comments

A Telecom Data science project from data gathering to model selection

One of our business units wants to target the competitors’ customers with personalized product/offer. To do that, Business needs to understand who are the prepaid/postpaid customer of the competitor to push the relevant and personalized product/offer and they don’t have this data. Now, this is a binary classification problem and we want to apply machine learning machine method to predict the likeliness of competitor customer to be prepaid or postpaid.

Steps in Data Science…

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Added by Ariful Islam on May 19, 2019 at 9:00am — No Comments

Unsupervised learning and its role in the knowledge discovery process

Unlike supervised learning, unsupervised learning not working with labeled data, it is not showing the machine the correct answer. Instead, it is using different algorithms to let the machine create connections by studying and observing the data. Learn much of this through study and observation. Learning and improving by trial and error is the key to unsupervised learning.

 

However, the Knowledge Discovery process is the field of data mining is concerned with the development…

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Added by Ariful Islam on May 19, 2019 at 8:42am — No Comments

Utilizing Artificial Intelligence Potential in Financial Services & Insurance Sectors

Gone are the days when insurance and nbfc sector was relying completely on manual processes. Today with the emergence of AI and data-driven business decision making coupled with the application of IoT technologies there is a radical transformation of business processes in insurance and other financial services, like straight through processing becoming mainstream. 

Let us look at different use cases:

1. Insurance Models:

Consider the recent proliferation…

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Added by Mahesh Kumar CV on May 19, 2019 at 7:11am — No Comments

A Beautiful Result in Probability Theory

This is another spectacular property of the exponential distribution, and also the first time an explicit formula is obtained for the variance of the range, besides the uniform distribution. It has important consequences, and the result is also useful in applications.

Theorem

The range R(n) associated with n independent random variables with an exponential distribution of parameter l…

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Added by Vincent Granville on May 19, 2019 at 6:30am — 1 Comment

Telecom Customer Analytics

I was deputed to work at Lagos, Nigeria in 2011 to work for a telecom giant there. The project in hand was to develop customer analytics modules using SAS on customer's newly built Oracle data warehouse. We thought about developing following modules.

  1. Customer Churn Analysis
  2. Calculating Product Propensities
  3. Customer Lifetime Value Calculation
  4. Customer Segmentation

Customer Churn…

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Added by Dr. Moloy De on May 17, 2019 at 4:31pm — No Comments

Confidence Intervals in One Picture

Confidence intervals (CIs) tell you how much uncertainty a statistic has. The intervals are connected to confidence levels and the two terms are easily confused, especially if you're new to statistics. Confidence Intervals in One Picture is an intro to CIs, and explains how each part interacts with margins of error and where the different components come from.…

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Added by Stephanie Glen on May 17, 2019 at 10:00am — No Comments

How to make ML engineers 5x more efficient

Emerging applications like machine learning (ML), big data analytics, and artificial intelligence (AI) has created the need for many companies to hire highly skilled and experienced work force. Demand for data scientists, ML engineers and data engineers is booming and will only increase in the next years. The January report from Indeed, one of the top job sites, showed a 29% increase in demand for data scientists year over year and a 344% increase since 2013.

Salaries and…

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Added by Chris Kachris on May 17, 2019 at 4:30am — No Comments

Importance of Thinking Differently…Hint: Don’t Pave the Cow Path

Moo…

There is this very intriguing Enterprise Car Rental commercial on TV (I’m old school and still watch my commercials on a television) that shows a glimpse into future driving behaviors enabled by autonomous vehicles (see Figure 1).…

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Added by Bill Schmarzo on May 17, 2019 at 1:14am — No Comments

Free eBook: Graph Algorithms: Practical Examples in Apache Spark and Neo4j

Greetings Friends,

Larry Page's "PageRank" Graph Algorithm as applied to Google search changed the digital world forever.  Learn more in this Free eBook: Graph Algorithms: Practical Examples in Apache Spark and Neo4j, By Mark Needham & Amy E. Hodler, Published by O'Reilly Media https://neo4j.com/graph-algorithms-book/

Watch: Improve ML Predictions using Graph Analytics…

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Added by David Vessie on May 16, 2019 at 2:52pm — No Comments

Data Science Central Thursday Digest, May 16

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

Resources

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Added by Vincent Granville on May 16, 2019 at 12:00pm — No Comments

Free Book: Classification and Regression In a Weekend

By Ajit Jaokar and Dan Howarth. With contributions from Ayse Mutlu.

Exclusively for Data Science Central members, with free access. You can download this book (PDF) here

This tutorial began as a series of weekend workshops created by Ajit Jaokar and Dan Howarth. The idea was to work with a specific (longish) program such that we explore as much of it…

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Added by Vincent Granville on May 16, 2019 at 8:30am — 1 Comment

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