Prasad Kulkarni
I am a Data Scientist with 6+ years of experience.
Will AI models collapse?
Data Drift Practitioners of Machine Learning Engineering or Machine Learning Operations (MLOps) know the term Drift. Drift in machine learning is the change in model...
Azure Machine Learning - the AI suite
The hallmark of any good tool/platform is its flexibility. With AI models all around, and an explosion of tools to develop to build AI workflows, it gets overwhelming....
Taxonomy and Types of AI Algorithms
What is an AI Algorithm? Before understanding what is an AI Algorithm, it is necessary to understand what is Artificial Intelligence. It is concerned with not just...
Motivating AI-102: Azure AI Engineer Associate
I have had the privilege of taking all Data Science/AI/ML related certifications from Microsoft. Be it AI-900 Azure AI Fundamentals or DP-100 Azure Data Scientist...
Linear Search vs Binary Search
Searching for a specific element in a dataset is a fundamental problem in computer science. When searching for a specific element in a dataset, two popular algorithms...
Data Science for IoT
Introduction When I was struggling with my health, a statement (paraphrasing) from an entrepreneur got me thinking: If you want to improve on something, start measuring...
Azure Health Data Services(HDS)/Azure API for FHIR for converting HL7 Messages to FHIR
Healthcare Data is one of the most sensitive and sophisticated forms of data. Having dealt with it, I have experienced it first hand. It has been challenging and...
Text Summarization with Azure AI
We are living in Industry 4.0 era. AI is becoming mainstream by the day. It is permeating every aspect of our lives from Enterprise and Consumer use cases. Among them,...
Supervised vs Unsupervised Learning: What’s the Difference?
Introduction In the book Modeling Mindsets, Christoph Molnar labels various modeling techniques as a mindset, rather than a toolset. Accordingly, two major modeling...
Data Integration: Definition, Process, Tools, Use Cases
As we usher into the age of AI, Analytics, and Data Science, we have Data-Intensive applications. What do we mean by that? According to Martin Kleppmann, the author of...