ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Jul 17, 2024Mastering Hypothesis Testing in Machine Learning BasicsHypothesis testing is a core concept in statistics that is crucial for machine learning. It allows us to make informed decisions based on sample data. This blog will explain the basics of hypothesis testing, its importance in machine learning, and ho...Discuss·20 likesMachine LearningHypothesisTesting
Legos Lightlegos.hashnode.dev·Jul 16, 2024How to lie with statistics [10] - Darell HuffThe final chapter wraps up everything by serving as a guide for readers to critically evaluate statistics and identify potential biases or misrepresentations. The chapter emphasizes the importance of asking the right questions to uncover the truth be...DiscussHow to lie with statistics
Legos Lightlegos.hashnode.dev·Jul 16, 2024How to lie with statistics [9] - Darrell Huff"Statisticulate" is a term coined by the author to describe the deliberate misuse of statistics to mislead or deceive. The chapter explores various techniques and tricks employed to manipulate data and present it in a way that supports a desired narr...DiscussHow to lie with statistics
Legos Lightlegos.hashnode.dev·Jul 16, 2024How to lie with statistics [8] - Darrell HuffIn this chapter, we explore the fallacy of assuming that correlation implies causation, often summarized by the Latin phrase "post hoc ergo propter hoc" (after this, therefore because of this). The chapter emphasizes that just because two events or p...DiscussHow to lie with statistics
Legos Lightlegos.hashnode.dev·Jul 16, 2024How to lie with statistics [6] - Darrell HuffThis chapter explores how visual representations, particularly those using images and pictograms, can be manipulated to distort the perception of data. Key Points: Misleading Pictograms: The chapter focuses on how pictograms, which use images to rep...DiscussHow to lie with statistics
Monika Prajapatimonikaprajapati.hashnode.dev·Jul 15, 2024Statistical ModelingThere are two main approaches to analyzing data in statistics: the Data Modeling Culture and the Algorithmic Modeling Culture. Both aim to achieve two primary goals: Prediction: Forecasting responses to future input variables Information: Extractin...Discussstatistical modeling
Legos Lightlegos.hashnode.dev·Jul 15, 2024How to lie with statistics [5] - Darrell HuffThe chapter discusses how visual representations of data, particularly graphs, can be manipulated to exaggerate or downplay trends, leading to misinterpretations. Key Points: Manipulating the Y-Axis: One common tactic is to manipulate the scale of t...DiscussHow to lie with statistics
Legos Lightlegos.hashnode.dev·Jul 15, 2024How to lie with statistics [4] - Darrell HuffThis chapter delves into the concept of statistical significance and how it can be misinterpreted or misused to make results seem more important than they actually are. Key Points: Statistical Significance vs. Practical Significance: The chapter emp...Discusshow-to-lie-with-statistics-4-darrell-huff
Anshuman SinhaforBitfusion Dynamics Researchbitfusion.hashnode.dev·Jul 11, 2024Implementation of Statistics in Machine LearningImplementing statistics in machine learning involves using statistical methods to inform model selection, training, evaluation, and interpretation. Here are key points on how statistics can be effectively implemented in machine learning: Descriptive...Discussstatistics
Anshuman SinhaforBitfusion Dynamics Researchbitfusion.hashnode.dev·Jul 10, 2024Statistical Genetics1. Introduction to Statistical Genetics: Definition: Statistical genetics is a field that applies statistical methods to understand the genetic basis of complex traits and diseases. It involves the analysis of genetic data to identify associations b...DiscussGenetics
