17 Cool Problems with a Statistical Flavor
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, ...
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GraphQL & gRPC (Part 1)
GraphQL & gRPC (Part 1) GraphQL(Graph Query Language) is a powerful query language that has allowed huge organizations, like Facebook and Github, to expose massive a...
Data Science, Machine Learning, and AI Conferences and Events 2018
We’ve compiled a list of the hottest events and conferences from the world of Data Science, Machine Learning and Artificial Intelligence happening in 2018. Below are al...
Top 10 Challenges to Practicing Data Science at Work
This article was written by Bob Hayes A recent survey of over 16,000 data professionals showed that the most common challenges to data science included dirty data (36%),...
Top 10 PHP Frameworks for Website Design and Development
PHP, known as the most popular server-side scripting language in the world, has evolved a lot since the first inline code snippets appeared in static HTML files. These da...
Practical Apache Spark in 10 minutes. Part 5 – Streaming
Spark is a powerful tool which can be applied to solve many interesting problems. Some of them have been discussed in our previous posts. Today we will consider another i...
Top 10 Data Science Use Cases in Retail
Nowadays data proves to be a powerful pushing force of the industry. Big companies representing diverse trade spheres seek to make use of the beneficial value of the data...
Practical Apache Spark in 10 minutes. Part 4 – MLlib
The vast possibilities of artificial intelligence are of increasing interest in the field of modern information technologies. One of its most promising and evolving direc...
Practical Apache Spark in 10 minutes. Part 3 – DataFrames and SQL
Spark SQL is a part of Apache Spark big data framework designed for processing structured and semi-structured data. It provides a DataFrame API that simplifies and accele...
Practical Apache Spark in 10 minutes. Part 2 – RDD
Spark’s primary abstraction is a distributed collection of items called a Resilient Distributed Dataset (RDD). It is a fault-tolerant collection of elements which allow...