PinnedCausal Inference Part 1: Using Causal Inference to Understand Product ExperimentsCausal inference is the process of determining the extent to which changes in one variable cause changes in another. This is particularly…Jan 9, 2023Jan 9, 2023
PinnedPublished inTowards DevCreating an End-to-End MLOps Platform for Enterprise Machine Learning WorkflowsAs a Data Science leader, I have found that implementing an MLOps platform can greatly improve the efficiency and effectiveness of the…Jan 5, 2023Jan 5, 2023
PinnedPublished inTowards DevData Science Project Management: A Practical HandbookData science project management is essential for ensuring the success of data science initiatives. This guide provides a practical…Jan 3, 2023Jan 3, 2023
PinnedPublished inTowards DevPost-Deployment ML Monitoring: Ensuring Model Performance and AccuracyMonitoring machine learning models after they have been deployed to production is crucial for ensuring that they continue to perform…Jan 2, 2023Jan 2, 2023
PinnedData Science Delivery Management: Essential Strategies for SuccessManaging a data science delivery pipeline involves coordinating multiple teams and processes to ensure the successful delivery of data…Jan 2, 2023Jan 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, 2023Aug 9, 2023
Embracing AI for Software Development: Solution Strategies and ImplementationThe article provides a comprehensive guide to seamlessly integrating AI into software development, addressing processes, selecting tools…Aug 1, 2023Aug 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 approachesMay 6, 2023May 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, 2023Apr 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 scientistsApr 22, 2023Apr 22, 2023