Statistical Analysis with Generalized Linear Models
Introduction
Posts by Category
- Data Science 38
- Mathematics 34
- Statistics 31
- Machine Learning 18
- Data Analysis 6
- Research Methodology 3
- Medical Research 3
- Artificial Intelligence 2
- Academic Writing 2
- R Programming 2
- Educational Tutorial 2
- Epidemiology 2
- Clinical Studies 2
- Genius 1
- Economy 1
- Ethics Research 1
- Political Communication 1
- Social Media Studies 1
- Digital Democracy 1
- Social Network Analysis 1
- Political Sociology 1
- Education 1
- Study Skills 1
- Writing Tips 1
- Healthcare Education 1
- Statistical Methods 1
- Data Interpretation 1
- Nursing Practice 1
- Professional Development 1
- Probability and Statistics 1
- Healthcare Technology 1
- Python Programming 1
- Wine Science 1
- Sensory Evaluation 1
- Oenology 1
- Food Science 1
- Consumer Behavior 1
- Marketing 1
- Wireless Communication 1
- Signal Processing 1
- Network Engineering 1
- Philosophy 1
- Probability 1
- Physics 1
Data Science
The Sunrise Problem: A Bayesian vs Frequentist Perspective
Sunrise in Lisbon Harbour, December 2020
Impact of Electromagnetic Interference on RSSI Signal: Detailed Insights and Implications
Electromagnetic interference (EMI), also known as electrical magnetic distortion, is a phenomenon that can significantly impact the performance of wireless c...
Stepwise Regression: Methodology, Applications, and Concerns
Stepwise Regression
Data Analysis Skills with Z-Scores: A Quick Guide
Understanding the z-score can significantly enhance your data analysis skills. Here’s a quick guide to what z-scores are and why they matter:
Essential Statistical Concepts for Data Analysts
Introduction
The Advantages of Using Data Science in Health Tech
Introduction
Modeling Count Events with Poisson Distribution in R
In this article, we will explore how to model count events, such as activations of certain types of events, using the Poisson distribution in R. We will also...
Understanding Probability and Odds
Introduction
Understanding Markov Systems
Introduction
Regularization in Machine Learning
Introduction
Automating Feature Engineering
Feature engineering is a critical step in the machine learning pipeline, involving the creation, transformation, and selection of variables (features) that c...
Detect Multivariate Data Drift
In machine learning, ensuring the ongoing accuracy and reliability of models in production is paramount. One significant challenge faced by data scientists a...
Navigating AI Fairness
Introduction
From Data to Probability
In statistics, the P Value is a fundamental concept that plays a crucial role in hypothesis testing. It quantifies the probability of observing a test statis...
Kullback-Leibler and Wasserstein Distances
In mathematics, the concept of “distance” extends beyond the everyday understanding of the term. Typically, when we think of distance, we envision Euclidean ...
Survival Analysis in Management
Abstract
Stratified Sampling
Abstract
Mysteries of Clustering
In the mosaic of data science—a realm where numbers weave intricate patterns and insights unfold with elegance—there exists a methodology both captivating an...
Convergence of Topology and Data Science
The relationship between topology, a branch of mathematics concerned with the properties of space that are preserved under continuous transformations, and da...
Understanding Customer Lifetime Value
Introduction
The Unseen Art of Data Quality: Bridging the Gap Between Collection and Utilization
The neglect of data design and data quality is a pervasive issue within the data industry, hindering efforts to extract value from data. Although data scienc...
Mathematics
The Sunrise Problem: A Bayesian vs Frequentist Perspective
Sunrise in Lisbon Harbour, December 2020
Stepwise Regression: Methodology, Applications, and Concerns
Stepwise Regression
Data Analysis Skills with Z-Scores: A Quick Guide
Understanding the z-score can significantly enhance your data analysis skills. Here’s a quick guide to what z-scores are and why they matter:
Essential Statistical Concepts for Data Analysts
Introduction
The Advantages of Using Data Science in Health Tech
Introduction
Understanding Probability and Odds
Introduction
Understanding Markov Systems
Introduction
Regularization in Machine Learning
Introduction
Automating Feature Engineering
Feature engineering is a critical step in the machine learning pipeline, involving the creation, transformation, and selection of variables (features) that c...
Detect Multivariate Data Drift
In machine learning, ensuring the ongoing accuracy and reliability of models in production is paramount. One significant challenge faced by data scientists a...
Navigating AI Fairness
Introduction
From Data to Probability
In statistics, the P Value is a fundamental concept that plays a crucial role in hypothesis testing. It quantifies the probability of observing a test statis...
Kullback-Leibler and Wasserstein Distances
In mathematics, the concept of “distance” extends beyond the everyday understanding of the term. Typically, when we think of distance, we envision Euclidean ...
Survival Analysis in Management
Abstract
Stratified Sampling
Abstract
Understanding t-SNE
In data analysis and machine learning, the challenge of making sense of large volumes of high-dimensional data is ever-present. Dimensionality reduction, a c...
Kernel Clustering in R
Clustering is one of the most fundamental techniques in data analysis and machine learning. It involves grouping a set of objects in such a way that objects ...
Paths of Combinatorics and Probability
In the vast and intricate field of mathematical disciplines, combinatorics and probability emerge as two distinct yet deeply interconnected fields. At its co...
Mastering Combinatorics with Python
Combinatorics, the branch of mathematics concerned with counting, arranging, and identifying patterns within sets of elements, is not just a theoretical disc...
Elegance of the Pigeonhole Principle: A Mathematical Odyssey
In this discourse, we delve into the profundity of an elementary yet profoundly influential mathematical axiom, often termed the pigeonhole principle. This p...
Mastering Bayesian Statistics: An In-Depth Guide to MCMC
Markov Chain Monte Carlo
Demystifying MCMC: A Practical Guide to Bayesian Inference
In my talks about probabilistic programming and Bayesian statistics, I often keep the explanation of inference high-level, treating it as a sort of “black bo...
Statistics
Latent Variables: Explained and Its History
Introduction
Statistical Analysis with Generalized Linear Models
Introduction
The Sunrise Problem: A Bayesian vs Frequentist Perspective
Sunrise in Lisbon Harbour, December 2020
Stepwise Regression: Methodology, Applications, and Concerns
Stepwise Regression
Data Analysis Skills with Z-Scores: A Quick Guide
Understanding the z-score can significantly enhance your data analysis skills. Here’s a quick guide to what z-scores are and why they matter:
Essential Statistical Concepts for Data Analysts
Introduction
The Advantages of Using Data Science in Health Tech
Introduction
Modeling Count Events with Poisson Distribution in R
In this article, we will explore how to model count events, such as activations of certain types of events, using the Poisson distribution in R. We will also...
Understanding Probability and Odds
Introduction
Understanding Markov Systems
Introduction
Regularization in Machine Learning
Introduction
Automating Feature Engineering
Feature engineering is a critical step in the machine learning pipeline, involving the creation, transformation, and selection of variables (features) that c...
Detect Multivariate Data Drift
In machine learning, ensuring the ongoing accuracy and reliability of models in production is paramount. One significant challenge faced by data scientists a...
Navigating AI Fairness
Introduction
From Data to Probability
In statistics, the P Value is a fundamental concept that plays a crucial role in hypothesis testing. It quantifies the probability of observing a test statis...
Kullback-Leibler and Wasserstein Distances
In mathematics, the concept of “distance” extends beyond the everyday understanding of the term. Typically, when we think of distance, we envision Euclidean ...
Survival Analysis in Management
Abstract
Stratified Sampling
Abstract
Understanding t-SNE
In data analysis and machine learning, the challenge of making sense of large volumes of high-dimensional data is ever-present. Dimensionality reduction, a c...
Kernel Clustering in R
Clustering is one of the most fundamental techniques in data analysis and machine learning. It involves grouping a set of objects in such a way that objects ...
Machine Learning
Latent Variables: Explained and Its History
Introduction
Stepwise Regression: Methodology, Applications, and Concerns
Stepwise Regression
Understanding Probability and Odds
Introduction
Understanding Markov Systems
Introduction
Regularization in Machine Learning
Introduction
Automating Feature Engineering
Feature engineering is a critical step in the machine learning pipeline, involving the creation, transformation, and selection of variables (features) that c...
Detect Multivariate Data Drift
In machine learning, ensuring the ongoing accuracy and reliability of models in production is paramount. One significant challenge faced by data scientists a...
Navigating AI Fairness
Introduction
Kullback-Leibler and Wasserstein Distances
In mathematics, the concept of “distance” extends beyond the everyday understanding of the term. Typically, when we think of distance, we envision Euclidean ...
Understanding t-SNE
In data analysis and machine learning, the challenge of making sense of large volumes of high-dimensional data is ever-present. Dimensionality reduction, a c...
Kernel Clustering in R
Clustering is one of the most fundamental techniques in data analysis and machine learning. It involves grouping a set of objects in such a way that objects ...
Understanding Customer Lifetime Value
Introduction
Data Analysis
Data Analysis Skills with Z-Scores: A Quick Guide
Understanding the z-score can significantly enhance your data analysis skills. Here’s a quick guide to what z-scores are and why they matter:
Wine Sensory Evaluation: From Sensory Lexicons and Emotions to Data Statistical Analysis Techniques
Abstract
Essential Statistical Concepts for Data Analysts
Introduction
The Advantages of Using Data Science in Health Tech
Introduction
Modeling Count Events with Poisson Distribution in R
In this article, we will explore how to model count events, such as activations of certain types of events, using the Poisson distribution in R. We will also...
Research Methodology
Latent Variables: Explained and Its History
Introduction
How to Write a Research Paper
Writing a research paper involves several stages, from choosing a topic to revising and finalizing your work. Here’s a structured approach to guide you throu...
Medical Research
Statistical Analysis with Generalized Linear Models
Introduction
Artificial Intelligence
Latent Variables: Explained and Its History
Introduction
The Vulnerability of Large Language Models to the Closure of Open-Source Data Platforms
Decay of traffic in Stack Overflow
Academic Writing
How to Write a Research Paper
Writing a research paper involves several stages, from choosing a topic to revising and finalizing your work. Here’s a structured approach to guide you throu...
R Programming
Data Analysis Skills with Z-Scores: A Quick Guide
Understanding the z-score can significantly enhance your data analysis skills. Here’s a quick guide to what z-scores are and why they matter:
Modeling Count Events with Poisson Distribution in R
In this article, we will explore how to model count events, such as activations of certain types of events, using the Poisson distribution in R. We will also...
Educational Tutorial
Data Analysis Skills with Z-Scores: A Quick Guide
Understanding the z-score can significantly enhance your data analysis skills. Here’s a quick guide to what z-scores are and why they matter:
Epidemiology
Statistical Analysis with Generalized Linear Models
Introduction
Clinical Studies
Statistical Analysis with Generalized Linear Models
Introduction
Genius
The Life and Legacy of Paul Erdös
Paul Erdös
Economy
Back to top ↑Ethics Research
Navigating AI Fairness
Introduction
Political Communication
Digital Democracy
Political Sociology
Education
How to Write a Research Paper
Writing a research paper involves several stages, from choosing a topic to revising and finalizing your work. Here’s a structured approach to guide you throu...
Study Skills
How to Write a Research Paper
Writing a research paper involves several stages, from choosing a topic to revising and finalizing your work. Here’s a structured approach to guide you throu...
Writing Tips
How to Write a Research Paper
Writing a research paper involves several stages, from choosing a topic to revising and finalizing your work. Here’s a structured approach to guide you throu...
Healthcare Education
Back to top ↑Statistical Methods
Back to top ↑Data Interpretation
Back to top ↑Nursing Practice
Back to top ↑Professional Development
Back to top ↑Probability and Statistics
Modeling Count Events with Poisson Distribution in R
In this article, we will explore how to model count events, such as activations of certain types of events, using the Poisson distribution in R. We will also...
Healthcare Technology
The Advantages of Using Data Science in Health Tech
Introduction
Python Programming
Back to top ↑Wine Science
Sensory Evaluation
Oenology
Food Science
Consumer Behavior
Marketing
Wireless Communication
Impact of Electromagnetic Interference on RSSI Signal: Detailed Insights and Implications
Electromagnetic interference (EMI), also known as electrical magnetic distortion, is a phenomenon that can significantly impact the performance of wireless c...
Signal Processing
Impact of Electromagnetic Interference on RSSI Signal: Detailed Insights and Implications
Electromagnetic interference (EMI), also known as electrical magnetic distortion, is a phenomenon that can significantly impact the performance of wireless c...
Network Engineering
Impact of Electromagnetic Interference on RSSI Signal: Detailed Insights and Implications
Electromagnetic interference (EMI), also known as electrical magnetic distortion, is a phenomenon that can significantly impact the performance of wireless c...
Philosophy
The Sunrise Problem: A Bayesian vs Frequentist Perspective
Sunrise in Lisbon Harbour, December 2020
Probability
The Sunrise Problem: A Bayesian vs Frequentist Perspective
Sunrise in Lisbon Harbour, December 2020
Physics
Latent Variables: Explained and Its History
Introduction
Social Media Studies
Critical Review of ‘Bursting the (Filter) Bubble: Interactions of Members of Parliament on Twitter’
6 minute read
Introduction