Category: Data Science

Why is it good to do Feature Transforms for Deep Neural Networks?

Since 2012, Deep Learning has exploded and has become synonymous with the term Artificial Intelligence and fairly so. Deep Neural Networks achieve tasks with remarkable...

Nuances of Defining the Goal in Machine Learning Life Cycle

Since the emergence of the age of Data Science, Machine Learning has become a full-fledged discipline. Similar to Software Development, even Machine Learning has...

Overview of the exam AI-900 : Azure AI Fundamentals

Motivating Azure AI Fundamentals With the explosion of data and computing, Machine Learning and Deep Learning have become the cornerstone of modern information systems....

Machine Learning and Human Learning

The funny thing about machine learning is that it closely seems to mimic human-learning algorithms which when studied closely(by a human:), could help him to learn even...

The Azure Machine Learning Designer

At MS Ignite this year, Azure Machine Learning Designer went GA, which is the next generation of the classic Azure ML Studio. Although it is quite similar to its...

Understanding Precision and Recall

Classification is one of the most widely used supervised Machine Learning technique. In classification, the target variable takes a limited set of values. For this...

Cumulative Distribution in Azure Databricks

Imagine that you receive a requirement to calculate the aggregations like average on a range of percentiles and quartiles, for a given dataset. There are two ways to...

Why Databricks is gaining popularity?

In February 2020, Gartner released its magic chart for Data Science. A pleasant surprise, however, was to see Databricks amongst the leaders. Interestingly, it made a...

Who are ML Engineers?

The Harvard Business Review article ‘Data Scientist: The Sexiest Job of the 21st Century‘ created a ripple across the industry. Naturally, everyone began...

Knowing when to consider Machine Learning

A Data Scientist is the one who not only knows how to use machine learning but the one who knows when to avoid it. Today, I will stand on the shoulder of a giant i.e....