Posts In Category

Data Science

While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.

Corporate Self Service Analytics: 4 Questions You Should Ask Yourself Before You Start
BI & AnalyticsBig DataData Science

Pyramid Analytics and Big Data Expert Ronald van Loon are hosting a free webinar on March 23rd. Register now and find out how to adopt a data-driven approach that will help your organization grow with predictive analytics. This webinar has been tailored to meet the needs of corporations in the DACH

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If You Care About Big Data, You Care About Stream Processing
Data ScienceData Science 101Understanding Big Data

As the scale of data grows across organizations with terabytes and petabytes coming into systems every day, running ad hoc queries across the entire dataset to generate important metrics and intelligence is no longer feasible. Once the quantum of data crosses a threshold, even simple questions such as what is

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False Friends
Data ScienceData Science 101

I recently stumbled across a research paper, Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US, which piqued my interest in derivative uses of data, an ongoing research interest of mine. A variety of deep learning techniques were used to draw conclusions about relationships

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Infographic: A Beginner’s Guide To Machine Learning Algorithms
Data ScienceData Science 101Machine Learning

We hear the term “machine learning” a lot these days (usually in the context of predictive analysis and artificial intelligence), but machine learning has actually been a field of its own for several decades. Only recently have we been able to really take advantage of machine learning on a broad

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The Definitive Guide To Digital Banking Platforms
Data ScienceFinanceFinTech

Did you doze off and miss the digital banking revolution? If so, here is your indispensable guide to choosing a digital banking platform The innovative nature of the financial services industry calls for constantly introducing new solutions to the market. Nowadays, implementing digital banking platform is a must, and should

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Artificial Intelligence: Here'S What You Need To Know To Understand How Machines Learn
Artificial IntelligenceData ScienceMachine Learning

From Jeopardy winners and Go masters to infamous advertising-related racial profiling, it would seem we have entered an era in which artificial intelligence developments are rapidly accelerating. But a fully sentient being whose electronic “brain” can fully engage in complex cognitive tasks using fair moral judgement remains, for now, beyond

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25 Big Data Terms Everyone Should Know
Big DataData ScienceData Science 101Understanding Big Data

If you are new to the field, Big Data can be intimidating! With the basic concepts under your belt, let’s focus on some key terms to impress your date, your boss, your family, or whoever. On November 25th-26th 2019, we are bringing together a global community of data-driven pioneers to talk

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The Power Of A Data Value Chain For Your Business
Big DataData ScienceTechnology & IT

The Value of Data Goes Beyond Any Number A quick look around the 21st century marketplace reveals a simple truth: the value of data has changed. Industries that once stood alone and operated in silos, have become interconnected by sheer necessity – collecting, analyzing, sharing and even selling data. Thus,

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Career In Data Sciencce
BI & AnalyticsData ScienceTechnology & IT

Given the enormous amount of Business Intelligence software solutions available, narrowing down the right one for your business can be a tedious process. How does a business start implementing this software? One way to start is by looking at systems that are popular among peers, because those products are the

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The Mathematics Of Machine Learning
Data ScienceMachine LearningResourcesTopics

In the last few months, I have had several people contact me about their enthusiasm for venturing into the world of data science and using Machine Learning (ML) techniques to probe statistical regularities and build impeccable data-driven products. However, I’ve observed that some actually lack the necessary mathematical intuition and

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