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.

AI/ML Product Management: Delivering Value through Innovation and Responsible Practices

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ai ml product management

As AI/ML technologies continue to rapidly develop, it is essential that AI/ML product managers are equipped with the right set of skills and expertise to meet customer needs and deliver value. AI/ML product management involves working closely with engineers, designers, and data scientists to develop and bring AI/ML products to market. The Importance of Keeping … Read more

Data Science Product Manager: The Key Role, Essential Skills, and Responsibilities

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Data Science; Data Science Product Manager

In today’s data-driven world, data is a valuable asset for companies. Businesses that effectively leverage data have a competitive edge, and this has led to a growing demand for skilled professionals who can work with data. One of the key roles in this field is that of a Data Science Product Manager. In this article, … Read more

Bayesian Linear Regression Made Simple with Python Code

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Linear regression is a widely used statistical modeling technique for understanding the relationship between a dependent variable and one or more independent variables. However, traditional linear regression models can have limitations, such as the inability to incorporate prior knowledge or assumptions about the data. Bayesian linear regression offers a solution by allowing for the integration … Read more

Understanding Confidence Interval, Null Hypothesis, and P-Value in Logistic Regression

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Logistic regression is a statistical technique that can be quite powerful in many different areas of research. It allows us to model the probability of a binary outcome, and is often used to explore the relationships between different predictor variables and a binary response variable. However, it can be challenging to fully grasp the meaning … Read more