Why Probability and Likelihood are not the Same Thing
Author(s): Towards AI Editorial Team Originally published on Towards AI. Understanding the crucial differences between Probability and Likelihood with examples Image from Pixabay Author(s): Pratik Shukla “The best way out is through”. — Robert Frost Table of Contents: Introduction Introduction to probability …
Top 10 Interview Questions on Evaluation Metrics in Machine Learning
Author(s): Simranjeet Singh Originally published on Towards AI. Introduction Evaluation metrics are quantitative measures used to assess the performance of machine learning models. They are important because they provide a systematic and objective way of comparing different models and measuring their success …
Markov Algorithm For Time Series
Author(s): Ashutosh Malgaonkar Originally published on Towards AI. Table of Contents Markov Modeling This member-only story is on us. Upgrade to access all of Medium. I. Downloading the dataset II. Algorithm — Going from Time Series data to Discrete Markov Modeling III. …
AI Anyone Can Understand: Part 8 — The Monte Carlo Method
Author(s): Andrew Austin Originally published on Towards AI. Understanding the basics of the Monte Carlo method This member-only story is on us. Upgrade to access all of Medium. Photo by Mark de Jong on Unsplash The Monte Carlo method is a way …
Why is Probability Important for Machine Learning?
Author(s): Mateo Originally published on Towards AI. Among many fields of mathematics, probability theory is often considered the bedrock of Machine Learning. But why not just rely on classical software engineering methods? Image by Edge2Edge Media on Unsplash Probability, Statistics, and Information …
Benford’s + Chi-Square to Detect Anomalies
Author(s): Konstantin Pluzhnikov Originally published on Towards AI. Let’s calculate some statistics to gain confidence in whether there is something suspicious in the data or not This member-only story is on us. Upgrade to access all of Medium. “Spatial anomaly” by Mike …
Statistics 101-Part 1-What Is Hypothesis Testing, Its Type, and Its Process?
Author(s): Kumar kaushal Originally published on Towards AI. Definition of hypothesis testing, the process of doing hypothesis testing, its types, and applications Photo by Thomas T on Unsplash This is a part of a series of articles related to Statistics 101. In …
MoneyBalling Cricket: Predicting Centuries — Base Model
Author(s): Arslan Shahid Originally published on Towards AI. Data preparation & binary classification modeling of centuries in cricket Image from Pexel. Image by Mahafuzur Rehman Centuries are a celebrated event in cricket, usually resulting in match-winning innings by the batsman. As a …
Bayesian Odds
Author(s): Egor Howell Originally published on Towards AI. How you can quickly compute the odds of an event using Bayes’ theorem This member-only story is on us. Upgrade to access all of Medium. Photo by Keenan Constance on Unsplash In our Bayesian …
How To Choose Your Loss Function — Where I Disagree With Cassie Kozyrkov
Author(s): Christian Leschinski Originally published on Towards AI. Selecting the right loss function and evaluation metrics is important for the success of your data science project. But while a lot has been written about machine learning algorithms and overall trends in our …
Statistics for Machine Learning A-Z Part 2
Author(s): Gencay I. Originally published on Towards AI. Briefly Explained This member-only story is on us. Upgrade to access all of Medium. Image by Author Contents · Introduction· Terms ∘ Mean Square Error ∘ Pairwise Comparison ∘ Bootstrapping ∘ Chi-square ∘ Correlation …
How To Be A Great Data Tutor
Author(s): Adam Ross Nelson Originally published on Towards AI. Everything you need to know about using your pro data skills to help others as a data tutor This member-only story is on us. Upgrade to access all of Medium. Being a data …
Univariate Statistics for Data Analysts — Confidence Intervals explained
Author(s): Carla Martins Originally published on Towards AI. With examples This member-only story is on us. Upgrade to access all of Medium. Photo by Carlos Muza on Unsplash All data analysts and data scientists, before any experience with the most advanced techniques …
Statistics for Data Science
Author(s): sonia jessica Originally published on Towards AI. In this hyper-connected world, data is being consumed and generated at an unparalleled pace. Despite the fact that we enjoy this superconductivity of data, it brings forth abuse as well. Data professionals have to …
Guide to Using Descriptive Statistics in Data Science
Author(s): Paula Maldonado Originally published on Towards AI. Understand the key concepts to summarize data This member-only story is on us. Upgrade to access all of Medium. Photo by Cathryn Lavery on Unsplash Statistics are at the heart of data science and …
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