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.

Federated Learning with TensorFlow: A Practical Guide with Example Code

April 27, 2023April 26, 2023 by Kumar Vishwesh

In this blog “Federated Learning with Tensorflow: A Practical Guide with Example Code”, we will delve into the concept of Federated Learning and demonstrate how it can be implemented with Tensorflow. We will provide a comprehensive, step-by-step guide to building a Federated Learning model, accompanied by a detailed explanation of the code used throughout the … Read more

The Simplest Guide to Federated Learning: The Future of Machine Learning

April 27, 2023April 26, 2023 by Kumar Vishwesh

Federated learning is a way for devices to work together to improve machine learning without needing to share their data with each other or a central server. In today’s digital world, data is king. From the websites we visit to the products we purchase, everything we do online generates data that companies can use to … Read more

To Add or Not to Add: The Pros and Cons of Adding Features to a Product

April 23, 2023April 21, 2023 by Kumar Vishwesh

Confusing Yourself with Your Customer in Product Management; Adding Features to a Product

“Does adding features improve the product?”, this is a very common misconception in product management. We must consider the pros and cons of adding features to a Product. Introduction to Adding Features to a Product When it comes to developing and improving a product, one common approach is to add new features. But does this … Read more

Mean directional accuracy of time series forecast

April 29, 2023April 20, 2023 by Kumar Vishwesh

Time series prediction performance measures provide a summary of the skill and capability of the forecast model that made the predictions. There are many different performance measures to choose from. In this post, we will study MDA or mean directional accuracy of time series forecasts. Mean directional accuracy (MDA) MDA is a measure of the … Read more

Normalization vs Standardization

May 9, 2023April 20, 2023 by Kumar Vishwesh

Surely, this article “Normalization vs Standardization” will clear confusion to a great extent. Normalization and standardization are two common methods used to preprocess data in machine learning. Firstly, let’s look at the term Feature Scaling. Feature scaling is a method used to normalize the range of independent variables or features of data. Now, Let’s start. … Read more