“With Python, you can create self-explanatory, concise, and engaging data visuals, and present insights...
Data today is the world’s most important resource. However, without properly visualizing your data to discover meaningful insights, it’s useless. Creating visualizations helps in...
Imran Bashir on the Fundamentals of Blockchain, its Myths, and an Ideal Path for...
With the invention of Bitcoin in 2008, the world was introduced to a new concept, Blockchain, which revolutionized the whole of society. It was something...
Discussing SAP: Past, present and future with Rehan Zaidi, senior SAP ABAP consultant [Interview]
SAP, the market-leading enterprise software, recently became the first European technology company to create an AI ethics advisory panel where they announced seven guiding...
Understanding the Fundamentals of Analytics Teams with John K. Thompson
Key-takeaways:
Data scientists need a tailored portfolio of projects that they own and manage to have a sense of autonomy.
The top skill or...
Understand Quickbooks online/desktop, online security, use cases, and more with Crystalynn Shelton, a certified...
Quickbooks, the accounting software package developed and marketed by Intuit is targeted towards small and medium-sized businesses. It offers on-premises accounting applications and cloud-based...
“Instead of data scientists working on their models and advancing AI, they are spending...
Machine learning has shown immense promise across domains and industries over the recent years. From helping with the diagnosis of serious ailments to powering...
“Data is the new oil but it has to be refined through a complex...
Data is the new oil and is just as crude as unrefined oil. To do anything meaningful - modeling, visualization, machine learning, for predictive...
“Tableau is the most powerful and secure end-to-end analytics platform”: An interview with Joshua...
Tableau is one of the leading BI tools used by data science and business intelligence professionals today. You can not only use it to...
Greg Walters on PyTorch and real-world implementations and future potential of GANs
Introduced in 2014, GANs (Generative Adversarial Networks) was first presented by Ian Goodfellow and other researchers at the University of Montreal. It comprises of...
“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...