Such service increases user engagement and improves the overall experience of the user with the financial product they are interacting…
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From Data Analyst to Data Scientist
From Data Analyst to Data ScientistSource: Matterport mask RCNNHow does someone transition from being a Data Analyst to Data Scientist?Go to…
Continue ReadingStorytelling for Data Scientists
Storytelling for Data ScientistsTurn data into stories to persuade your audienceSource: https://bit.ly/2uX5enzHarvard Business Review recently published an article on what leading…
Continue ReadingExporting Cassandra time series data to S3 for data analysis using Spark
We’re been using this approach successfully over the last few months in order to get the best of both worlds…
Continue ReadingData Science “Paint by the Numbers” with the Hypothesis Development Canvas
Figure 2: Hypothesis Development CanvasThe Hypotheses Development Canvas includes the following:A Vision Workshop accelerates the collaboration between the business stakeholder…
Continue ReadingSelect Your Analytics Adventure – Analytics On-boarding
In my opinion, a productive analyst needs to understand the business, the data and the tools.Your new hire may have…
Continue ReadingWhy do I Call Myself a Data Scientist?
It’s not particularly easy to define Data Science as a whole, or subject, I’ve done it in other articles:Creating Intelligence…
Continue ReadingBIG, small or Right Data: Which is the proper focus?
These humongous data sets are collected via many different means including computer networks, social media profiles, web browsing histories, mobile…
Continue ReadingThings you should know when traveling via the Big Data Engineering hype-train
These were also the things I asked candidates for Big Data Engineer position in my previous company.I will try to…
Continue ReadingHow Data Science Is Improving Higher Education
Increasingly, colleges and universities, as well as governments, are using data science to improve the ways educational institutions do everything…
Continue ReadingThe Big Data Game Board™
Figure 2: The Big Data Game Board™Spin the dial and see if you can avoid the following Big Data (and…
Continue ReadingThe Most in Demand Skills for Data Scientists
By Jeff Hale, Data Scientist Focused on Machine Learning – CoFounder and COO at E-commerce Firms.I scoured job listing websites…
Continue Reading5 Reasons Why You Should Use Cross-Validation in Your Data Science Projects
Before I present you my five reasons to use cross-validation, I want to briefly go over what cross-validation is and…
Continue ReadingA Right to Reasonable Inferences
Sandra Wachter, Lawyer and Research Fellow (Asst. Prof.), University of OxfordA Right to Reasonable Inferences: Re-thinking Data Protection Law in…
Continue ReadingData science for couples: Relationship health predicted by how well you know each other, not how alike you are
The data allowed Perron to delve deep into correlations between users’ responses to all kinds of questions, and how they…
Continue ReadingMusic for Data Scientists? Music by Data Scientists? …What…?!
By Foster Provost, NYU Mean Reversions first album released today (Oct 17, 2018).Mean Reversion is the collaboration of data scientist songwriters…
Continue Reading6 Goals Every Wannabe Data Scientist Should Make for 2019
That goal in itself is a worthy one, but its essential for people to also set goals for 2019 that…
Continue ReadingMetadata Enrichment is Essential to Realize the Value of Open Datasets
By Assaf Katan, Apertio CEO & Co-FounderAccording to McKinsey “Data is now a critical corporate asset—and its value is tied…
Continue ReadingStrategy: Customer Analytics: Are you Profiting from your Data?
They want more data, even as they fail to mine what they already have.Miers-Busch, W’1885 Professor, Professor of Marketing Raghuram…
Continue ReadingA practical guide to getting started with Machine Learning
In this article, I will show you how to get started with ML using python and tackle a simple regression…
Continue ReadingSemantic Interoperability: Are you training your AI by mixing data sources that look the same but aren’t?
Semantic interoperability, in particular, is the ability of different computer information systems to use and share data in a meaningful…
Continue ReadingWhat does a data scientist REALLY look like?
The average age of both data scientists and non-data scientists is 30.5 years, and 91% of data scientists are male,…
Continue ReadingHow To Learn Data Science If You’re Broke
I published my own website, was posted in a major online data science publication, and was given scholarships to a competitive computer…
Continue ReadingWhat is the Best Python IDE for Data Science?
Using IDLE or the Python Shell for writing down Python code is effectual for smaller projects, but not practical while…
Continue ReadingTop 5 domains Big Data analytics helps to transform
IDC predicts that worldwide revenues for big data and business analytics will amount to more than $203 billion in 2020,…
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