Category: Data Science
A look at Differential Privacy
AI is a superpower. And with power comes responsibility. This takes us into the domain of Responsible AI. In 2016, Microsoft released a bot named Tay on Twitter....
Machine Learning Deployment Strategies
A survey said that only one of eight Machine Learning models gets to production. This usually happens because of bad problem definition. We have dealt with that topic in...
How to detect Data Drift in Azure Machine Learning
This is the age of AI. Hence, you want to automate a certain business process, let’s say, for instance, email classification. So, you have built a Machine...
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...