Welcome to the Statistics and Data Science Hub
Last updated: April 15, 2025
Understanding the role of data and measurement in media planning, audience engagement, and advertising effectiveness.
Explore the Key Pillars of Statistics and Data Science Hub
Blogs
June 24, 2025
Part 8: From Blocks to Brilliance – How Transformers Became Large Language Models (LLMs) of the series - From Sequences to Sentience: Building Blocks of the Transformer Revolution
Explore how Transformers evolved into Large Language Models (LLMs) like GPT, Claude, and Gemini by integrating key innovations such as self-attention, parallel processing, and massive scaling. Learn about the role of data, architecture choices, and reinforcement learning in enhancing LLM capabilities for generating human-like text. Discover how these advancements enabled LLMs to excel in diverse tasks and consider the future directions of multimodal models and alignment research. Join Part 8 of our series to understand the comprehensive journey from foundational RNNs to state-of-the-art generative AI.
June 24, 2025
Part 7: The Power of Now – Parallel Processing in Transformers of the series - From Sequences to Sentience: Building Blocks of the Transformer Revolution
Discover how parallel processing revolutionized Transformers, enabling them to handle entire sequences simultaneously for unprecedented efficiency and scalability. Learn how this innovation freed models from the sequential constraints of RNNs, allowing for faster training, better GPU utilization, and the creation of large-scale models like GPT and BERT. Explore the impact on various domains, from language to vision and beyond. Join Part 7 of our series to understand how parallelism transformed the landscape of AI, making modern large language models possible.
June 24, 2025
Part 6: The Eyes of the Model – Self-Attention of the series - From Sequences to Sentience: Building Blocks of the Transformer Revolution
Explore the pivotal role of self-attention in Transformer models, the mechanism that allows for capturing relationships across entire sequences simultaneously. Learn how self-attention enables models like BERT and GPT to process text efficiently, focusing on relevant tokens regardless of their position. Discover its impact on various applications, from translation to text generation. Join Part 6 of our series to understand how self-attention underpins the capabilities and scalability of modern AI, revolutionizing the processing of language and beyond.
June 24, 2025
Part 5: The Generator – Transformer Decoders of the series - From Sequences to Sentience: Building Blocks of the Transformer Revolution
Explore the intricacies of Transformer decoders, the architecture that powers text generation in models like GPT. Learn about their structure, including masked self-attention, encoder-decoder cross attention, and feed-forward networks, and understand their transformative impact on language generation, translation, and more. Dive into how decoders generate text step-by-step and their pivotal role in modern AI applications. Join us in Part 5 of our series as we transition from understanding language to creating it.
June 24, 2025
Part 4: The Comprehender – Transformer Encoders of the series - From Sequences to Sentience: Building Blocks of the Transformer Revolution of the series - From Sequences to Sentience: Building Blocks of the Transformer Revolution
Delve into the world of Transformer encoders and discover how they revolutionized natural language processing by processing entire sentences simultaneously. Learn about their architecture, including multi-head self-attention and feed-forward networks, and see how they power models like BERT to excel in understanding language. Explore step-by-step encoding processes and understand the advantages over traditional RNNs, making encoders crucial for applications such as text classification, named entity recognition, and semantic search. Join Part 4 of our series as we unravel the magic of language comprehension.
June 24, 2025
Part 3: Giving Words Meaning – Word Embeddings of the series - From Sequences to Sentience: Building Blocks of the Transformer Revolution
Discover the power of word embeddings in natural language processing, a revolutionary technique that transformed words into meaningful numerical vectors. Explore how methods like Word2Vec and GloVe captured context and meaning, enabling applications from semantic search to sentiment analysis. Understand the limitations of static embeddings and their evolution towards contextual embeddings with transformers. Dive into Part 3 of our series to see how these innovations laid the groundwork for NLP advancements.
June 24, 2025
Part 2: The Gatekeeper – Long Short-Term Memory (LSTM) Networks of the series - From Sequences to Sentience: Building Blocks of the Transformer Revolution
Part 2: The Gatekeeper – Long Short-Term Memory (LSTM) Networks
June 24, 2025
Part 1: The Roots – Recurrent Neural Networks (RNNs) of the series - From Sequences to Sentience: Building Blocks of the Transformer Revolution
Part 1: The Roots – Recurrent Neural Networks (RNNs)
June 19, 2025
How Hierarchical Priors Helped Anita Make Smarter, Faster Marketing Decisions
How Hierarchical Priors Helped Anita Make Smarter, Faster Marketing Decisions
June 13, 2025
Demystifying SHAP: Making Machine Learning Models Explainable and Trustworthy
Demystifying SHAP: Making Machine Learning Models Explainable and Trustworthy
March 14, 2025
Survival Analysis & Hazard Functions: Concepts & Python Implementation
Learn about survival analysis, hazard functions, Kaplan-Meier estimation, and Cox regression. Explore applications in healthcare, finance, and engineering, and implement survival models in Python.
March 14, 2025
Power of a Statistical Test: Definition, Importance & Python Implementation
Learn about statistical power, its relationship with Type I & Type II errors, its role in experimental design, and how to compute power and sample size using Python for hypothesis testing.
March 14, 2025
Logistic Regression & Odds Ratio: Concepts, Formula & Applications
Learn about Logistic Regression, its mathematical formulation, odds ratio interpretation, model evaluation, and applications in healthcare, finance, and marketing. Explore its significance in predictive analytics and Python implementation.
March 14, 2025
Jackknife Resampling: Concept, Steps & Applications
Learn about Jackknife Resampling, a powerful statistical technique for estimating bias, variance, and standard error. Explore its applications in machine learning, regression analysis, biostatistics, and Python implementation.
March 14, 2025
F test and Anova
Explore the fundamentals of the F Test and ANOVA in this comprehensive guide. Learn how to analyze variance and make informed decisions based on statistical data. This article breaks down complex concepts into simple terms, making it accessible for beginners and experts alike. Get ready to enhance your understanding of these essential statistical tools and apply them effectively in your research or projects. Start your journey towards mastering the F Test and ANOVA today!
March 14, 2025
Expectation-Maximization (EM) Algorithm: Concept, Steps & Applications
Learn about the Expectation-Maximization (EM) algorithm, its mathematical formulation, key steps, applications in machine learning, and Python implementation. Understand how EM handles missing data for improved parameter estimation.
March 14, 2025
Causal Inference and A/B Testing
Explore the fundamental concepts of causal inference and A/B testing. Learn how these methodologies can enhance your data analysis strategies and improve decision-making processes. This blog offers insights into the significance of statistical testing in real-world applications, making it essential for marketers, analysts, and researchers. Delve into practical examples and best practices that help you achieve reliable and actionable results from your experiments.
March 14, 2025
The Role of AI in Product Recommendation Engines
Discover how artificial intelligence enhances product recommendation engines. By analyzing user behavior and preferences, AI enables personalized shopping experiences. Learn about the technology behind recommendation systems and its benefits for businesses and consumers alike. This comprehensive guide explores AI's role in creating highly accurate product suggestions, improving customer satisfaction and driving sales.