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August 2017 Blog Posts (121)

Protocol Procedure Complexity In Clinical Trial

Over the past few years, an increasing protocol complexity has garnered a lot of attention among clinical trial experts. It has lead to various important studies beginning from meditating insights metrics warehouse which reveal that clinical studies have reached to a significant level of complexity in the recent times. In spite of a larger increase in metrics in the first half of the past decade and continued warnings from experts, the complexity continues to be on an upward surge through…

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Added by Mark on August 10, 2017 at 5:30pm — No Comments

Combining Multiple Methods To Improve Time Series Prediction

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.…

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Added by Amelia Matteson on August 10, 2017 at 3:30pm — No Comments

Two Great Courses on Deep Learning and AI

Deep Learning, Neural Networks and AI

The course is a new one by Andrew Ng, Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group/Google Brain. It will start Aug 15. 

About this course: If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly…

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Added by Vincent Granville on August 10, 2017 at 2:00pm — No Comments

Thursday News: Data Science, R, Deep Learning, AI, TensorFlow, Spark

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

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Added by Vincent Granville on August 10, 2017 at 8:00am — No Comments

The Rise of the Citizen Data Scientist

The development of Big Data, artificial intelligence and predictive analytics has created extravagant expectations for enterprise productivity growth — and aroused popular anxiety about intelligent information systems taking jobs from human workers. It is ironic, against that backdrop, that what is holding back widespread adoption of these technologies is, of…

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Added by David Sweenor on August 10, 2017 at 6:24am — 1 Comment

Electronics OEMs Realizing Huge Savings with Data Visualization & Analytics

Introduction to OEMs

The increasing complexity of smart products, more demanding users, and stiff competition are driving the focus of electronics OEMs (original equipment manufacturers) on product quality and productivity. These companies are struggling to improve their operations to increase their production yield, operational efficiency, and product quality. This has been driving demand for  Data Visualization & Analytics solutions over the past few years and as part of their…

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Added by Shantanu Chaturvedi on August 10, 2017 at 1:00am — No Comments

Invest More beyond Tools to Improve Reporting Performance

As a type of front-end data service intended for end-users, reports in applications have received a lot of concerns about their performances.  It’s all users’ wish that parameters in and query and aggregate results out in no time. Though less than twenty seconds’ waiting time is within a tolerant range, three to five minutes will threaten to extend beyond a user’s patience with the worst product experience.

But why is a report so slow? And how shall we optimize its…

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Added by JIANG Buxing on August 10, 2017 at 12:30am — No Comments

Data Science Simplified Part 6: Model Selection Methods

In the last article of this series, we had discussed multivariate linear regression model. Fernando creates a model that estimates the price of the car based on five input parameters.…

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Added by Pradeep Menon on August 9, 2017 at 4:00pm — 1 Comment

Data Fracking - Improve your Access to Dark Data

Digital strategies are driving exponential change into the business landscape.

What was a physical process yesterday, whether in retail, transportation, banking or healthcare, has been dematerialized by an endless proliferation of new digital processes and devices.  This transformation has fostered an explosive growth in data…

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Added by Raquel Perez on August 8, 2017 at 10:00pm — No Comments

Artificial Neural Network (ANN) in Machine Learning

Artificial Neural Networks – Introduction

Artificial Neural networks (ANN) or neural networks are computational algorithms.

It intended to simulate the behavior of biological systems composed of “neurons”ANNs are computational models inspired by an animal’s central nervous systems. It is capable of machine learning as well as pattern recognition. These…

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Added by Sheetal Sharma on August 8, 2017 at 7:00pm — No Comments

Public Data Analytics Companies - who's winning (and not)?

A long, long time ago (maybe 10 years) the data analytics industry was fairly easy to define and track. Back in that pre-historic era SAS was considered the gold standard of analytics companies with a comprehensive range of solutions addressing the demands of many industries.  Given the relative paucity of data, analytics tended to focus on those industries that generated usable data.  Companies that were part of the analytics universe back then would have included:

  • risk…
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Added by Gregory Thompson on August 8, 2017 at 12:30pm — No Comments

Chronic Diseases and the Emphasis on Prevention

Contributed by Dina Mirijanian. 

Chronic diseases, such as heart disease, cancer and diabetes are among the most common and costly health problems. According to the Center of Disease Control and Prevention (CDC), “half of all American adults have at least one chronic condition and almost one of three have multiple chronic conditions”. Apart from the cost burden, heart disease and cancer are the top one and two causes of death in the country. While, diabetes ranks a…

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Added by NYC Data Science Academy on August 8, 2017 at 12:30pm — No Comments

How to Make the Leap from Excel to SQL

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,…

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Added by Amelia Matteson on August 8, 2017 at 10:00am — No Comments

Free Deep Learning Book (MIT Press)

The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free.

Source for…

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Added by Vincent Granville on August 8, 2017 at 9:33am — 8 Comments

How Agile Methodology Is Helping the Gig Economy Gain Momentum

In the last couple of years, the gig economy has continued to rise and especially in the American job market where workers take on two side gigs and are able to earn a decent living. Recent findings from Adobe reveal that not less than a third of the more than a 1000 US worker admit that they have a second job. In the same breath, more than…

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Added by Kamran Sharief on August 8, 2017 at 8:00am — 1 Comment

Importing Data in R

Importing Data in R

a. Using the Combine Command

As we know c() function is used to concatenate or combine items in R as specified below:

1
2…
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Added by Shreya Gupta on August 8, 2017 at 1:30am — No Comments

Performance Testing Tutorial: Types, Process & Important Metrics

What is Performance Testing?

Performance testing is a type of testing to ensure software applications will perform well under their expected workload.

Features and Functionality supported by a software system is not the only concern. A software application's performance like its response time, reliability, resource usage and scalability do matter. The goal of performance testing is not to find bugs but to eliminate performance bottlenecks.

The focus of Performance…

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Added by Ruth Evans on August 7, 2017 at 9:00pm — No Comments

Top 9 Machine Learning Applications in Real World

Machine Learning Applications

Some of the machine learning applications are:

1. Image Recognition

One of the most common uses of machine learning is image…

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Added by Sheetal Sharma on August 7, 2017 at 8:00pm — 1 Comment

The 4 Types of Data Analytics

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.Diagram and explanation of the 4 types of data analytics

Simplistically, analytics can be divided into four key categories. I'll explain these four in more detail…

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Added by Amelia Matteson on August 7, 2017 at 11:30am — No Comments

Business Analytics in the Cloud: Is Sky the Limit?

Every organization embraces analytics to gather, analyze and interpret data to make strategic business decisions at some point in time. As technology evolves and the amount of data grows exponentially, the need to leverage scalable, cost-effective infrastructure is becoming imperative. With the growing adoption of big data and cloud computing, the use of…

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Added by Ashish Sukhadeve on August 6, 2017 at 7:30am — No Comments

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