“Pandas is an effective tool to explore and analyze data”: An interview with Theodore...
It comes as no surprise to many developers, Python has grown to become the preferred language of choice for data science. One of the...
Why you should use Keras for deep learning
A lot of people rave about TensorFlow and Theano, but there are is one complaint you hear fairly regularly: that they can be a...
Expert Insights: How sports analytics is empowering better decision-making
Analytics is slowly changing the face of the sports industry as we know it. Data-driven insights are being used to improve the team and...
“Git, like all other version control tools, exists to solve for one problem: change”...
An unreliable versioning tool makes product development a herculean task. Creating and enforcing checks and controls for the introduction, scrutiny, approval, merging, and reversal...
What Should We Watch Tonight? Ask a Robot, says Matt Jones from OVO Mobile...
Netflix, the global poster child for streamed TV and the use of Big Data to inform the programs they develop, has shown steady customer...
Why choose IBM SPSS Statistics over R for your data analysis project
Data analysis plays a vital role in organizations today. It enables effective decision-making by addressing fundamental business questions based on the understanding of the...
Prof. Rowel Atienza discusses the intuition behind deep learning, advances in GANs & techniques...
In recent years, deep learning has made unprecedented progress in vision, speech, natural language processing and understanding, and other areas of data science. Developments...
Why You Need to Know Statistics To Be a Good Data Scientist
Data Science has popularly been dubbed as the sexiest job of the 21st century. So much so that everyone wants to become a data...
Unlocking the secrets of Microsoft Power BI
Self-service Business Intelligence is the buzzword everyone's talking about today. It gives modern business users the ability to find unique insights from their data...
Is Apache Spark today’s Hadoop?
With businesses generating data at an enormous rate today, many Big Data processing alternatives such as Apache Hadoop, Spark, Flink, and more have emerged...