ChatGPT is everywhere and everyone is using it. But most academics don't know how to use it *smartly.* Here's how to use ChatGPT intelligently (and ethically) for academic purposes:

Understanding Confidence Intervals 1/ Let’s start with a scenario: Imagine a doctor wants to estimate the average blood pressure of all adults. It's impractical to measure everyone, so she takes a sample of 100 adults and calculates the average blood pressure to be 120 mmHg. 2/

Why do we use a significance level of 0.05 in statistics? This was asked in MY Data Science interview /🧵/

🧵 Addressing P-Hacking in Science 1/ 🚀 Introduction: P-hacking, or "data dredging," is when researchers manipulate data to get a statistically significant result. It’s a red flag in scientific research. Let’s unpack why and explore how to combat it. 2/ 🎯 Why is P-Hacking a

Machine learning interpretability from first principles: • A model is just a mathematical function • The function can be broken down into simpler parts • Interpretation methods address the behavior of these parts Let's dive in.

Why We Should Be Careful Using One-Tailed Hypothesis Tests in Research 🧪📊 1/ Introduction: Hypothesis testing is a cornerstone of scientific research. But did you know there's a debate about using one-tailed vs. two-tailed tests? Let's dive into why one-tailed tests might not

Common Probability Distributions That Occur In Nature And Why Mathematics Is The Language Of The Universe Fundamentally the patterns of the universe repeat themselves making machine learning and AI possible. Basically, when training ML models, including NNs we are attempting to

Handling Outliers in Data 1/ 📊 Introduction to Outliers Outliers are data points that deviate significantly from the rest of the dataset. While they can provide meaningful information, they can also skew analyses. Let's explore how to handle them gently and efficiently! 2/ 🧐

Simple mean and median are powerful, but they have their issues. With a little modification, we can compensate. Let's clarify how with a visual explanation👇

Why do we use the Elbow Method to select k in K-Means Clustering? This was asked in my Data Science Interview /🧵/

﴿ولو يشاء الله لانتصر منهم ولكن ليبلو بعضكم ببعض والذين قتلوا في سبيل الله فلن يضل أعمالهم﴾. بإمكان الله بكن فيكون أن يمسح الصهاينة وأذنابهم ومن ناصرهم ومن يفكر بدعمهم. ولكنه شاء بحكمته أن يبتليهم بنا ويبتلينا بهم، فاحرص على أن تفعل مايحبه الله ويرضاه ولاتحمل هم نصر أو هزيمة.

She’s not lying.

Thread on Poisson Distribution 📊🩺 1/ What is the Poisson Distribution? The Poisson Distribution is a mathematical tool that helps us predict the number of times an event will happen within a specific time frame. Think of it as a way to predict "rare" events that happen at a

A Data Analyst who understands customer segmentation will never be short of work. Problem is, it's not covered often in courses. So, I've put everything I know about it into this thread. Grab a pen and some paper and get stuck in 🧵:

2 war criminals hugging 🇺🇸🇮🇱

لم يُذكر في الكتاب والسنة بأن الحجر والشجر قد حرّضوا على قتل بشر إلا عند قتال اليهود في آخر الزمان، وهذا والله يدل على أن فاتورة الصهاينة ستكون كبيرة جدا لدرجة تحريض الجمادات والنباتات عليهم. ولعل مانراه اليوم يوضح لك سبب إنطاق الله الجماد ذلك اليوم، أعان الله اخواننا بغزة.

Algeria

Boxplots are a visual representation of the distribution of numerical data. Box plots, also known as box-and-whisker plots, are a fantastic way to display the distribution and key characteristics of a dataset. They provide a clear and concise summary of: > Central tendency >

Correlation is fundamental when it comes to the relationship between two variables Correlation provides insights into how changes in one variable may relate to changes in another. A correlation coefficient of +1 indicates a perfect positive correlation, meaning the variables

40+ Implemented #DeepLearning Projects with code and step-by-step explanation — compiled by Naina Chaturvedi ———— #BigData #AI #MachineLearning #ML #DataScience #DataScientists ⬇️ ⬇️ medium.com/coders-mojo/im…