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Featured Blog Posts – November 2018 Archive (73)

An Application of Data Science and Mathematics in Finance

Imagine that one day, you see people are queuing up in front of Bank A; so you ask the staff at the counter, you are told that they are offering anyone (regardless of their credit history) a loan of $100,000 at a fixed annual rate at 2%. You then look around, the Bank B next door offers 1-year term deposit with a fixed annual rate at 3% for the same amount ($100,000). After 5 minutes' waiting, you sign for the loan from Bank…


Added by Zhongmin Luo on November 21, 2018 at 2:30pm — 2 Comments

Microsoft Move To Blockchain Linking its Major Products to the Tech

The blockchain is actually a digital record in which the transactions made in cryptocurrencies like Bitcoin or Ethereum are entered publically and chronologically. And Microsoft was the first company to take blockchain to the cloud with its Microsoft Azure product about three years ago.…


Added by Samual Alister on November 21, 2018 at 4:50am — No Comments

Cyber Security Vulnerabilities And Solutions

Summary: Strong cybersecurity is a fundamental element for a nation’s growth and prosperity in a global economy. A constant partnership between government, the private sector, and the community is becoming vital to developing a solid foundation within cyberspace. Such collaborations and initiatives from the state government are anticipated to deter cybercrime, thereby, necessitating larger business such as banks and telecom companies to build robust cybersecurity…


Added by Nehal Punia on November 21, 2018 at 12:19am — No Comments

ML Methods for Prediction and Personalization


Recommender systems use algorithms to provide users with product or service recommendations. Recently, these systems have been using machine learning algorithms from the field of artificial intelligence. An increasing number of online companies are utilizing recommendation systems to increase user interaction and enrich shopping potential. Use cases of recommendation systems have been expanding rapidly. They across many aspects of…


Added by Divya Singh on November 20, 2018 at 8:30pm — No Comments

Starting to develop in PySpark with Jupyter installed in a Big Data Cluster

Is not a secret that Data Science tools like Jupyter, Apache Zeppelin or the more recently launched …


Added by Antonio Cachuan on November 20, 2018 at 8:01pm — No Comments

Turning Your Culture Into a Design Culture

Design is very easy to comprehend when you are building customer-centric products or services. Heck, it makes total sense to start from the customer perspective and to use the multitude of design thinking techniques to identify, validate, value and prioritize customers’ most important needs.  We got Personas, Journey Maps, Storyboards, Prototypes, Mockups, Canvases and such to help us intimately understand our customers, their environments and what it is they are trying to…


Added by Bill Schmarzo on November 20, 2018 at 6:55pm — No Comments

Towards a Bespoke Cure for Cancer

Year 1994 – I stood helpless while my dear friend’s Father was going through traditional chemotherapy which is known to affect all cells indiscriminately. That was the best the doctors were able to do at that time notwithstanding the fact that each cancer is different caused by an uncontrollable mutation of bad cells and the ideal combination or…


Added by Mukul Gupta on November 20, 2018 at 1:15pm — No Comments

Using unsupervised learning to improve prediction performance

By Gunnar Carlsson

The appeal of forecasting the future is very easy to understand, even though it is not realizable.  That has not stopped an entire generation of analytics companies from selling such a promise. It also explains the myriad methods that attempt to give partial, inexact, and probabilistic information about the future.

Even if they could deliver on a…


Added by Jonathan Symonds on November 20, 2018 at 1:00pm — No Comments

R, Python, SQL, etc. Steve Miller's Retrospective.

Steve has 40 years experience in consulting services surrounding BI, statistics, analytics, and data science. His most recent position was President of Inquidia Consulting and EVP of BI/Analytics at Braun Consulting. He has been a writer for Information Management, Dataversity, and BeyeNetwork for 12 years.



Added by Vincent Granville on November 20, 2018 at 9:30am — No Comments

AI (Deep Learning) explained simply

Sci-fi level Artificial Intelligence (AI) like HAL 9000 was promised since 1960s, but PCs and robots were dumb until recently. Now, tech giants and startups are announcing the AI revolution: self-driving cars, robo doctors, robo investors, etc. PwC just said that AI will contribute $15.7 trillion to the world economy by 2030. "AI" it's the 2017 buzzword, like "dot com" it was in 1999, and everyone claims to be into AI.…


Added by Fabio Ciucci on November 20, 2018 at 6:32am — 1 Comment

Fintech Innovation: How P2P Lending Is Emerging With Help Of AI?

The financial services industry has been experiencing the recent evolution of new technology innovations. The industry overall and many fintech start-ups are looking for a new lane to successful business models, the design of enhanced customer experience, and approaches that result in services transformation.

These platforms have allowed even niche products to find financial supporters and potential…


Added by Vishal Virani on November 20, 2018 at 5:13am — No Comments

Matching the Exact Matching of MatchIt

I started a series on causal inference for data science a few weeks back. I think CI methodologies offer great potential for the DS discipline, given that much of our data is observational i.e. outside…


Added by steve miller on November 19, 2018 at 1:31pm — No Comments

Why Every CEO Needs a Chief Analytics Officer

Two former CAOs Make a Compelling Case for the CAO to Report to the CEO to build out an AI and Data Science Accountability COE.

Anthony Branda, MBA, Ph.D.,  Kevin Kramer, Ph.D.

  • Company CEOs today are being bombarded by C-suite executives with urgent requests for significant funding for Data Science and anything that can be labeled Artificial Intelligence (AI):
  • The CMO wants better segmentation, dynamic predictive scoring…

Added by Kevin Kramer on November 19, 2018 at 10:30am — 2 Comments

Mental Framework For A Data Driven Digital Transformation

Over the last years, my small business has undergone a digital transformation from a marketing service company to a data literacy consultancy. What does a data literacy consultancy do? We teach business users within large enterprises to work with data, and we help them acquire the necessary skills from state of the art Excel to Python, querying structured, semi-structured and unstructured databases, as well as math, statistics, and probability.

Throughout our…


Added by Rafael Knuth on November 19, 2018 at 7:00am — 1 Comment

Weekly Digest, November 19

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.  



Added by Vincent Granville on November 18, 2018 at 12:00pm — No Comments

Things that Aren’t Working in Deep Learning

Summary:  This may be the golden age of deep learning but a lot can be learned by looking at where deep neural nets aren’t working yet.  This can be a guide to calming the hype.  It can also be a roadmap to future opportunities once these barriers are behind us.


We are living in the golden age of deep…


Added by William Vorhies on November 18, 2018 at 11:14am — No Comments

New Books and Resources for DSC Members

We are in the process of writing and adding new material (compact eBooks) exclusively available to our members, and written in simple English, by world leading experts in AI, data science, and machine learning. We invite you to sign up here to not miss these free books. …


Added by Vincent Granville on November 18, 2018 at 9:30am — 9 Comments

Seven Techniques for Data Dimensionality Reduction

This article comes from the blog of the website KNIME. Below is a summary. The highest reduction ratio without performance degradation is obtained by analyzing the decision cuts in many random forests (Random Forests/Ensemble Trees). However, even just counting the number of missing values, measuring the column variance, and measuring the correlation of pairs of columns can lead to a satisfactory reduction rate…


Added by Andrea Manero-Bastin on November 17, 2018 at 8:30pm — 1 Comment

New Book: Automated Data Science and Artificial General Intelligence

I finished the initial version of my second book Automated Data Science and Artificial General Intelligence. It is version 1.0 to get things started. I will work in this direction my entire life, there is a lot more to be done. Any feedback is welcomed, enjoy :)

Read at…


Added by Stefan Stavrev on November 15, 2018 at 5:30pm — No Comments

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