Kumar Vishwesh

Hello, I am a seasoned AI/ML Product Management professional and Data Science Development Lead with ~9 years of progressive experience in the field. My passion for AI and its potential to transform the world has led me to work on cutting-edge projects that leverage machine learning and artificial intelligence to solve complex problems. As an AI/ML Product Manager, I have a proven track record of successfully launching and managing AI/ML-based products, ensuring that they meet both customer and business requirements. My ability to understand customer needs and translate them into product features, coupled with my technical expertise, has allowed me to deliver impactful solutions that meet business objectives. As an AI/ML Data Science Development Lead, I have led teams of talented data scientists, overseeing the development and deployment of machine learning models and algorithms. I have a strong background in data science and statistics, and machine learning. Throughout my career, I have had the opportunity to work with leading companies in the tech industry, helping them leverage the power of AI to drive innovation and growth. I am passionate about staying up-to-date with the latest trends in AI and using my expertise to create products that make a difference. Thank you for taking the time to read my introduction.

Exploring Model Performance Measures for Logistic Regression: Concordance Ratio, Somers’ D, and Kendall’s Tau

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woman draw a light bulb in white board

As someone who is interested in logistic regression, you are likely familiar with the importance of measuring model performance. After all, accurately assessing the performance of a logistic regression model is crucial for making informed decisions based on the model’s predictions. In this blog post, we will explore three important measures of model performance for … Read more

Machine learning landscape 102: Unsupervised Learning, Semi-Supervised Learning & Unsupervised Learning

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Machine learning landscape 102

This post, “Machine Learning Landscape 102”, will answer the following questions: The last post, “Machine Learning Landscape 101“, tried to answer the following questions: Together, these two posts offer a solid foundation for anyone looking to gain a deeper understanding of machine learning and its various applications. Unsupervised Machine Learning Unsupervised learning is a type … Read more

Introduction to time series

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Introduction to Time Series

This post “Introduction to Time Series”, will explain a popular type of data which is widely used for extracting business insights. Time Series (TS) A time series (TS) is a collection of observations made sequentially over a period of time. In other words, the data on any characteristic collected with respect to time over a … Read more

Kurtosis for a data distribution

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Kurtosis for a data distribution

This post “Kurtosis for a data distribution” will certainly help you explore a data distribution. A distribution is simply a collection of data, or scores, on a variable. Usually, these scores are arranged in order from smallest to largest and then they can be presented graphically. Page 6, Statistics in Plain English, Third Edition, 2010. The … Read more

Machine learning landscape 101: Machine Learning Fundamentals & Supervised Learning

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Machine learning landscape 101

This post, “Machine Learning Landscape 101”, will answer the following questions: The next post, “Machine Learning Landscape 102“, will answer the following questions: Together, these two posts offer a solid foundation for anyone looking to gain a deeper understanding of machine learning and its various applications. Let’s start. Machine Learning More engineering-oriented definition: A computer … Read more