List: Data Science & ML Applications in Business and Products | Curated by Rudrendu Paul

Apr 29, 2023
21 stories
Data Science & ML Applications in Business and Products
Rudrendu Paul
Transformers: A Unique Neural Network Architecture for Language ComprehensionTransformer is a neural network architecture, which uses a self-attention mechanism to better comprehend language, outperforming existing…
Mar 25, 2023
Mar 25, 2023
Rudrendu Paul
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
Apr 22, 2023
Rudrendu Paul
Datasets for Machine Learning Part 2: Understanding the Lifecycle of a DatasetAsk critical questions at every stage to mitigate biases and limitations for best outcomes
Apr 15, 2023
Apr 15, 2023
Rudrendu Paul
Improving Forecast Accuracy with Machine Learning: Choosing the Right MetricsChoose accurate metrics for data science forecasting models using machine learning techniques.
Apr 1, 2023
Apr 1, 2023
Rudrendu Paul
Applied Machine Learning for User Engagement: Leveraging Real-time User Actions to Enhance Homefeed…How to use real-time user actions in your recommendation system to increase homefeed engagement volume
Mar 4, 2023
Mar 4, 2023
Rudrendu Paul
Cracking the Machine Learning System Design Interview: The Complete GuideLearn the key tips for answering any machine learning system design interview question with confidence
Feb 26, 2023
Feb 26, 2023
Rudrendu Paul
Datasets for Machine Learning Part 6: Handling Bias in Your Dataset with Balance Package: An…The Balance package by Meta offers a simple API to handle bias in datasets
Feb 19, 2023
Feb 19, 2023
Rudrendu Paul
Causal Inference Part 6: Uplift Modeling: A Powerful Tool for Causal Inference in Data ScienceA powerful tool for causal inference in data science, understanding its implementation, applications and best practices
Jan 27, 2023
Jan 27, 2023
Rudrendu Paul
Causal Inference Part 5: Applying Propensity Score Modelling in Causal Inference: A Practical GuidePropensity Score modeling for causal inference, practical guide for implementation, application, and best practices in data science
Jan 26, 2023
Jan 26, 2023
Rudrendu Paul
How Netflix Utilizes Machine Learning in its Recommendation SystemNetflix uses machine learning techniques, including matrix factorization, deep learning, and reinforcement learning, to power its…
Jan 19, 2023
Jan 19, 2023
Rudrendu Paul
Real-Time Electric Vehicle Performance Monitoring using Machine LearningBy analyzing data from sensors on electric vehicles, machine learning can optimize performance, extend the vehicle’s lifespan, and provide…
Jan 17, 2023
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Jan 17, 2023
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Rudrendu Paul
Tesla’s Machine Learning Approach to EV Performance Monitoring: Maximizing Efficiency and…Tesla uses machine learning for predictive and preventive vehicle maintenance, improving reliability and reducing costs.
Jan 17, 2023
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Jan 17, 2023
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Rudrendu Paul
How marketers can keep up with the evolving consumer decision journey using advanced analyticsThe traditional sales funnel for how a consumer converts to a buyer has evolved significantly with the growth of digital shopping. During…
Nov 5, 2020
Nov 5, 2020
Rudrendu Paul
Predicting Customer Lifetime Value with Machine Learning: A Comprehensive GuideThis article discusses the use of machine learning to predict customer lifetime value (CLV) using machine learning and the benefits it can…
Jan 4, 2023
Jan 4, 2023
Rudrendu Paul
AI Driven Fintech Growth: Turning Data into InsightsExploration of AI’s impact on the fintech industry
Jan 6, 2023
Jan 6, 2023
Rudrendu Paul
Implementing Machine Learning in Product DevelopmentMachine learning has the potential to transform product development by automating tasks and providing valuable insights. In this article, I…
Jan 6, 2023
Jan 6, 2023
Rudrendu Paul
AI-Powered Economic Forecasting: A Tool for Economists and Policy MakersArtificial intelligence (AI) can be used for economic forecasting by analyzing historical data and making predictions about future trends…
Jan 7, 2023
Jan 7, 2023
Rudrendu Paul
How Analytics Managers can harness the power of Geo-location data for strategic insights in retail…The Executives at the retail chains can tap into their consumer’s geo-location data to better understand consumer behavior. This can…
Nov 5, 2020
Nov 5, 2020
Rudrendu Paul
Winning in retail through new opportunities from innovative analytics applicationsIn the last 3 years, the retail industry in US has faced huge disruptions. To stay competitive, the retailers must continue to innovate…
Nov 5, 2020
Nov 5, 2020
Rudrendu Paul
A better ecommerce like course recommendation system for UniversitiesAs a graduate student during my dual MBA and MS program at Boston University, at the beginning of every semester, I had to register for…
Nov 5, 2020
Nov 5, 2020