How Apache Spark can Boost Your Value?
Introduction Technological progress and the development of infrastructure has increased the popularity of Big Data immensely. Businesses have started to realize that d...
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10 Areas of Expertise in Data Science
The analytics market is booming, and so is the use of the keyword – Data Science. Professionals from different disciplines are using data in their day to day activities...
Top AI algorithms for Healthcare
The benefits of AI for healthcare have been extensively discussed in the recent years up to the point of the possibility to replace human physicians with AI in the futu...
How to Visualize AWS Cost and Usage Data Using Amazon Athena and QuickSight
Introduction One of the major reasons organizations migrate to the AWS cloud is to gain the elasticity that can grow and shrink on demand, allowing them to pay only for r...
Why R Programming in Data Science?
Data Science is everyone’s word of the mouth in the current analytical eco-space. The study of Data Science which encompasses various subjects like Machine Learning, De...
How to make ML engineers 5x more efficient
Emerging applications like machine learning (ML), big data analytics, and artificial intelligence (AI) has created the need for many companies to hire highly skilled and ...
Data-science-related careers and what it takes to succeed in this sphere?
To begin with, data scientists are professionals in the field of information mining, collecting, and analyzing. Since these people solve existing and potential problems i...
Hunting for Data: a Few Words on Data Scraping
No matter how intelligent and sophisticated your technology is, what you ultimately need for Big Data Analysis is data. Lots of data. Versatile and coming from many sourc...
17 Great ML Books and Funny Pictures
The following resources and books were hand-picked, and curated by one of our interns. They cover many topics of interest to data scientists, and most are relatively rece...
33 Statistical Concepts Explained in Simple English – Part 10
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...