Rama RamakrishnaninTowards Data Science·16 hours agoHow Big Should Your Sample Size Be?A handy little formula that every data scientist should know — You are in a meeting with the CEO and the executive team. The Product team is pitching a new product idea. It has lots of cool features and will work smoothly with the company’s current products. They think existing customers will love it. They think it is a great way…Statistics6 min readStatistics6 min read
Luís RoqueinTowards Data Science·8 hours agoMember-onlyProbabilistic vs. Deterministic Regression with TensorflowProbabilistic deep learning — Introduction This article belongs to the series “Probabilistic Deep Learning”. This weekly series covers probabilistic approaches to deep learning. The main goal is to extend deep learning models to quantify uncertainty, i.e. know what they do not know. This article will explore the main differences between deterministic and probabilistic regression. In…Statistics8 min readStatistics8 min read
Gönül Aycı·1 day agoThe top 10 Machine Learning Engineer Interview QuestionsI had very intense job interview processes for the Machine Learning Engineer (MLE) and Data Scientists positions. In this post, I am going to highlight the most frequently asked and important questions in MLE interviews. In general, MLE interviews consist of 4 different interviews including talking about past experiences and…Statistics4 min readStatistics4 min read
Matchmaticians·2 days agoChimpanzees: A Liberating Perspective on Mathematics EducationIn the world of mathematics, it can be easy to feel overwhelmed and intimidated by the complexity of advanced concepts. After all, math is one of the most challenging subjects to learn, and the majority of students identify mathematics as the most difficult subject at school. Confidence is a critical…Statistics2 min readStatistics2 min read
Abhinaba BanerjeeinGeek Culture·12 hours agoScaling vs Normalization, are they the same?This article will discuss the difference between scaling and normalization for any data and show its code implementation. Scaling vs. Normalization: What’s the difference? It is easy to get confused between scaling and normalization because the terms are sometimes used interchangeably and, to make it even more confusing, they are very similar! In both cases, the…Statistics4 min readStatistics4 min read
David StelliniinAll Front·9 hours agoSaaS statistics & trends to watch out for in 2023[The original article and any updates are published on All Front’s blog] Software as a Service (SaaS) has transformed the way businesses operate, offering users scalability and flexibility, liberated from the confines of traditional software. 2023 is just around the corner, which makes now the perfect time to get ahead…Statistics6 min readStatistics6 min read
Federico Riveroll·1 day agoMember-onlyWhat is the Gamma Distribution Used For?An intuitive example to understand the Gamma and how it can be used — The Gamma distribution is a continuous probability distribution that is often used to model the amount of time until a certain number of events occur. It is related to the Exponential and Binomial distributions. In order to understand the Gamma intuitively let’s start off with a simple Bernoulli example. The…Statistics3 min readStatistics3 min read
Muhammad Uzair·13 hours agoHello World: Introducing Spatial DataWhat is Spatial Analytics? — Spatial and Spatio-temporal data is all around us. In television and newspapers, we repeatedly see reporters informing the viewers What are the chances of rain today? How do the weather conditions vary between Karachi and Islamabad? Beyond asking simple questions, spatial data is necessary for making maps and visualizations to…Statistics4 min readStatistics4 min read
Haseeba·20 hours agoMean, Median, and Mode — When to use eachIn this article, I want to illustrate the uses of three measures of central tendency, when to use which central tendency, how median is used over mean, and how mode can be used. Central tendency The measure of central tendency is a single value that represents the entire data. …Statistics4 min readStatistics4 min read
Pedro Henrique Fogaça Santos·10 hours agoData Analysis with Python 🐍 — 3/6Exploratory Data Analysis After this article, you’ll be able to summarize main characteristics of the data, uncover relationships between variables and extract important variables to answers questions like “What are the characteristics which have the most impact on car prices?” Summary: Descriptive Statistics Grouping data Correlation Pearse Correlation Descriptive Statistics Describes basic features of…Statistics4 min readStatistics4 min read
