Prasad Kulkarni
I am a Data Scientist with 6+ years of experience.
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...
Running SQL queries in Azure Data Factory
SQL is the backbone information science/technology. From a transactional database to data warehouse systems to modern big data analytics, none can escape SQL. Hence,...
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 and...
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...
Building Analytical System on Azure Data Lake Gen2
We live in the world of Big Data and Analytics. It’s a fast-changing world with new technologies emerging at a fast pace. This pace has increased considerably with...
Process efficiency and Process drift
Every crisis is an opportunity in disguise. The current COVID-19 pandemic is no exception to this. Be it at an individual level or organizations, these are the times to...
Azure Data Factory Managed Virtual Network(Preview)
The emergence of cloud technologies has enabled enterprises to scale their infrastructure with minimal effort. In fact, you can scale with a few clicks at a minimal cost...
Azure Data Lake and Azure Databricks file systems.
With the advent of Big Data, technology paradigms have shifted from relational databases to data lakes. Data comes in a wide variety, larger velocity and huge volumes....