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Rudrendu Paul

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Causal Inference Part 1: Using Causal Inference to Understand Product Experiments

Causal inference is the process of determining the extent to which changes in one variable cause changes in another. This is particularly…

Jan 9, 2023

Causal Inference Part 1: Using Causal Inference to Understand Product Experiments

Jan 9, 2023

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Towards Dev

Creating an End-to-End MLOps Platform for Enterprise Machine Learning Workflows

As a Data Science leader, I have found that implementing an MLOps platform can greatly improve the efficiency and effectiveness of the…

Jan 5, 2023

Creating an End-to-End MLOps Platform for Enterprise Machine Learning Workflows

Jan 5, 2023

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Published in
Towards Dev

Data Science Project Management: A Practical Handbook

Data science project management is essential for ensuring the success of data science initiatives. This guide provides a practical…

Jan 3, 2023

Data Science Project Management: A Practical Handbook

Jan 3, 2023

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Published in
Towards Dev

Post-Deployment ML Monitoring: Ensuring Model Performance and Accuracy

Monitoring machine learning models after they have been deployed to production is crucial for ensuring that they continue to perform…

Jan 2, 2023

Post-Deployment ML Monitoring: Ensuring Model Performance and Accuracy

Jan 2, 2023

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Data Science Delivery Management: Essential Strategies for Success

Managing a data science delivery pipeline involves coordinating multiple teams and processes to ensure the successful delivery of data…

Jan 2, 2023

Data Science Delivery Management: Essential Strategies for Success

Jan 2, 2023

AI Prowess: Harnessing Docker for Streamlined Deployment and Scalability of Machine Learning…

Leveraging Docker’s power: streamlining deployment solutions, ensuring scalability, and simplifying CI/CD processes for machine learning…

Aug 9, 2023

AI Prowess: Harnessing Docker for Streamlined Deployment and Scalability of Machine Learning…

Aug 9, 2023

Embracing AI for Software Development: Solution Strategies and Implementation

The article provides a comprehensive guide to seamlessly integrating AI into software development, addressing processes, selecting tools…

Aug 1, 2023

Embracing AI for Software Development: Solution Strategies and Implementation

Aug 1, 2023

Datasets for Machine Learning Part 3: Understanding Different Types of Datasets for Machine…

Explore types of datasets for accurate ML models. Includes structured/unstructured data, labeling, supervised/unsupervised approaches

May 6, 2023

Datasets for Machine Learning Part 3: Understanding Different Types of Datasets for Machine…

May 6, 2023

Datasets for Machine Learning Part 5: The Impact of Mishandled Datasets on Communities and…

Proper dataset handling in machine learning is crucial to avoid harm. Common pitfalls and lessons learned can improve community…

Apr 29, 2023

Datasets for Machine Learning Part 5: The Impact of Mishandled Datasets on Communities and…

Apr 29, 2023

Datasets for Machine Learning Part 4: Data Transformation Techniques for Machine Learning: A…

Overview of dataset transformation for machine learning: methods, challenges, and considerations for data scientists

Apr 22, 2023

Datasets for Machine Learning Part 4: Data Transformation Techniques for Machine Learning: A…

Apr 22, 2023

Rudrendu Paul

Rudrendu Paul

Data Science Leader | Ex-PayPal | Ads | Applied AI/ML | MBA | E-commerce | Retail | Judge at Startup Competitions | Reviewer Springer, Elsevier, IEEE | Speaker

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