Understand TensorFlow Basic with Python
Author(s): Amit Chauhan Basic terminologies used in TensorFlow Continue reading on Towards AI Β» Published via Towards AI …
Data Science Evaluation MetricsβββUnravel Algorithms for Regression [Part 2]
Author(s): Maximilian StΓ€bler Data Science Error Formulas Data Science Evaluation MetricsβββUnravel Algorithms for Regression [PartΒ 2] Lessons learned about evaluation metrics for classification tasks. Photo by Mika Baumeister onΒ Unsplash Before we get started: This post deals exclusively with evaluation metrics for regressions! I …
Chi-Square Hypothesis Testing in Statistics
Author(s): Amit Chauhan Relationship association between categorical features Continue reading on Towards AI Β» Published via Towards AI …
NumPy: Zero to Hero with Python
Author(s): Amit Chauhan A handbook of NumPy basic operations with python Continue reading on Towards AI Β» Published via Towards AI …
Towards Autonomous Vehicles 2021
Author(s): Stephen Adhisaputra Latest Report and Complete Guide to the World’s Most Hyped Future Tech Continue reading on Towards AI Β» Published via Towards AI …
Why Should I Care About How Humans Think?
Author(s): Mathieu d’Aquin On the relation between artificial and human intelligence. Continue reading on Towards AI Β» Published via Towards AI …
Time Series Analysis with Python
Author(s): Amit Chauhan Date and Time analysis on a data frame with pandas Continue reading on Towards AI Β» Published via Towards AI …
Robust Regression: All You Need to Know & an Example in Python
Author(s): Serafeim Loukas In this article I explain what robust regression is, using a working example in Python Continue reading on Towards AI Β» Published via Towards AI …
How to run SQL on S3 files with AWS Athena
Author(s): George Pipis A walkthrough example of how you can query the S3 files using AWS Athena Continue reading on Towards AI Β» Published via Towards AI …
One LEGO at a Time: Explaining the Math of how Neural Networks Learn with Implementation from Scratch
Author(s):Β Omar U. Florez, Ph.D. A neural network is a clever arrangement of linear and non-linear modules. When we choose and connect them wisely, we have a powerful tool to approximate any mathematical function. For example one that separates classes with a non-linear …
Algorithmic Trading ModelsβββBreakouts
Author(s): Dhruva Krishnamurthy The first article in a series that will look at the theory behind producing algorithmic trading models Continue reading on Towards AI Β» Published via Towards AI …
Gradient Descent for Machine Learning (ML) 101 with Python Tutorial
Author(s): Towards AI Team A three-dimensional wireframe plot of the unnormalized sin(x) function. | Source: Creative Commons by Wikimedia [1]Β A tutorial diving into the gradient descent algorithm for machine learning (ML) withΒ Python Author(s): Saniya Parveez, Roberto Iriondo This tutorialβs code is …
20 Core Data Science Concepts for Beginners
Author(s): Benjamin Obi Tayo Ph.D. Review these foundational concepts for a job interview preparation or to refresh your understanding of the basics Continue reading on Towards AI Β» Published via Towards AI …
Top 3 Resources to Master Python in 2021
Author(s): Chetan Ambi Recommended resources to learn the most popular programming language Continue reading on Towards AI Β» Published via Towards AI …
How Do Language Models Predict the NextΒ Word?π€
Author(s): Bala Priya CΒ N-gram language models – an introduction Photo by Mick Haupt onΒ Unsplash Have you ever guessed what the next sentence in the paragraph youβre reading would likely talk about? Have you ever noticed that while reading, you almost always …