jhonnelk

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Customer Churn – Logistic Regression with R

The 11 Best Presentation Hacks You Will Ever Need (#7 is Pure Genius)

The next 15 minutes were going to be a horror show.<p>Lenny stood at the side of the stage waiting to be introduced. One hand filled with a stack of cue …

Learning Deep Learning with Keras

I teach deep learning both for a living (as the main deepsense.ai instructor, in a Kaggle-winning team1) and as a part of my volunteering with the …

9 Must-Have Skills You Need to Become a Data Scientist

<b>By Linda Burtch, Burtch Works.</b><p><b>Editor's note</b>: While this is still a useful and engaging read, a newer version of this post is available here.<p>Over the …

Open Source Deep Learning Frameworks and Visual Analytics

Deep Learning gets more and more traction. It basically focuses on one sectio...

Deep Learning gets more and more traction. It basically focuses on one section of Machine Learning: Artificial Neural Networks. This article explains …

How to Align Analytics with Business Strategy by Melanie Murphy - BeyeNETWORK

<b>A general lack of understanding of analytics</b> <br>Various analytic applications with different definitions include business, customer, marketing, …

5 Excel Add Ins Every Data Scientist Should Install

You, Yes You, Can Analyze Data, Too

Big dataiseverywhere. You probably hear people talking about data on the subway, or the radio, or by the water cooler. You turn on the TV, and the …

How to explain to Big Data newbies why correlation doesn’t equal causation

With the explosion of interest in Big Data everyone in every department is looking for actionable intelligence. That’s great but there’s a downside: …

Math for machine learning

Sometimes people ask what math they need for machine learning. The answer depends on what you want to do, but in short our opinion is that it is good …

Huge Trello List of Great Data Science Resources

A Tour of Machine Learning Algorithms

Creating Value from Analytics: The Nine Levers of Success

<i>IBM just released the results of a global study on how businesses can get the most value from Big Data and analytics. They found nine areas that are</i> …

Business Analytics: Moving From Descriptive To Predictive Analytics

By Bill Schmarzo January 9, 2014<p>I recently met with two organizations that had very impressive business intelligence (BI) implementations. However, …

Algorithms Every Data Scientist Should Know: Reservoir Sampling

Data scientists, that peculiar mix of software engineer and statistician, are notoriously difficult to interview. One approach that I’ve used over …

The coming age of ubiquitous predictive analytics

In the first post of this series, I defined the differences between business intelligence, big data, and predictive analytics. In the second entry, I …

Big Data

Predictive analytics: Where is the beef?

The last post I wrote defined three market segments: business intelligence, and big data to help frame a baseline of understanding. This blog post I …

Easing Big Data Analysis Paralysis in Customer Service

<i>“The customer of 2020 will be more informed and in charge of the experience they receive. They will expect companies to know their individual needs</i> …

Why predictive analytics success comes down to trust

Organisations looking to make the most of predictive analytics must recognise that it takes time to build trust, and that success requires the …

Decoding buzzwords: big data, predictive analytics, business intelligence

I must admit, I can get easily confused in discussing predictive analytics, or business intelligence, then adding the term big data in the mix, the …

The Future of Customer Analytics

I presented a session on “The Future of Customer Analytics” at the Business Analytics For All Forum last week in Brussels, Belgium, along with two …

How Little Debbie Used Predictive Analytics to Survive Snack Industry Shakeup

McKee Foods, best-known for its Little Debbie snacks, might not be the picture of a technology early adopter. The company, which traces it beginnings …

Big Data

Using In-Store Analytics To Counter the Threat from Disruptive Digital Retailers | Street Fight

<b>Published:</b><p>There’s no longer any doubt that traditional retailing is being shaken by increasing competition from ecommerce. In this highly competitive …

Five must read analytics blogs

Six ways to go from Analytics to Outcomes

Analytics may seem like new phenomenon, but it really isn’t. A newspaper delivery boy has been using it for ages to optimise his route. Frederick …

#BBBT nice flow from hindsight to insight to foresight from @HPVertica http://t.co/22AcyklHdx

Workday steps up predictive analytics game, launches Insight Applications

Generally available in 2015, Workday's Insight Applications are designed to enable better decisions around expenses, worker retention, scorecards and …

How to choose a project to practice data science

Here at Sharp Sight, I’ve derided the “jump in and build something” method of learning data science for quite some time.<p>Learning data science by …