I used Strava and Tableau to Prepare a Competition
Author(s): Edoardo Bianchi Originally published on Towards AI. How I Used the Strava API, and Tableau To Prepare a Trail Run CompetitionA data-driven approach to visualize progress and improve performance over timeMe crossing the finish line. Image by the author. Four months …
Multivariate Linear Regression From Scratch
Author(s): Erkan Hatipoğlu Originally published on Towards AI. With Code in Python Photo by Hitesh Choudhary on Unsplash Introduction In this new episode of the Machine Learning Basics series, we will create a model for a multivariate linear regression task and validate …
Everything We Know About GPT-4 So Far
Author(s): SPX Originally published on Towards AI. Image Source GPT-4 is the latest and most advanced language model developed by OpenAI, a Microsoft-backed company that aims to create artificial intelligence that can benefit humanity. GPT-4 is a successor of GPT-3, which was …
How I Used the Strava API, and Tableau To Prepare a Trail Run Competition
Author(s): Edoardo Bianchi Originally published on Towards AI. A data-driven approach to visualize progress and improve performance over time This member-only story is on us. Upgrade to access all of Medium. Me crossing the finish line. Image by the author. Four months …
Introduction to Speech Recognition With TensorFlow
Author(s): Rokas Liuberskis Originally published on Towards AI. Master the basics of speech recognition with TensorFlow: Learn how to build and train models, implement real-time audio recognition, and develop practical applications This member-only story is on us. Upgrade to access all of …
5 Reasons Why You Need Synthetic Data
Author(s): Michael Galarnyk Originally published on Towards AI. Gartner predicts that by 2030, synthetic data will be used more than real-world data to train machine learning models. The GIF above shows synthetic data generated from Kubric. To train a machine learning model, …
10 Advanced Python Tricks Every Developer Should Know
Author(s): SPX Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Stock Photo by Arnold Francisca on Unsplash As a developer, you’re probably always looking for ways to write better and more efficient code. …
Web Scraping with Python and BeautifulSoup
Author(s): SPX Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Stock Photo by Luis Gomes Web scraping is a technique used to extract data from websites automatically using the software. It’s an extremely …
Unlocking the Power of Recurrent Neural Networks: A Beginner’s Guide
Author(s): Gaurav Nair Originally published on Towards AI. This blog covers a beginner-level introduction to Recurrent Neural Networks, forward and backpropagation through time, and its implementation in Python using NumPy. Introduction With the advancement of Artificial Intelligence (AI) and its practical applications …
Logistic Regression Simply Explained in 5 minutes
Author(s): Serafeim Loukas, PhD Originally published on Towards AI. A simple and gentle introduction to Logistic Regression with Python code & a working example This member-only story is on us. Upgrade to access all of Medium. Figure made by the author using …
Improve Performance of the Deep Neural Model (Part-1)
Author(s): Akash Dawari Originally published on Towards AI. Note: Before you start reading this article please click the below link to see the code and different visualization graphs to better understand the article and the concepts. In this article, we will discuss …
The Normal Equation: The Calculus, the Algebra, and The Code
Author(s): Skander Menzli Originally published on Towards AI. Photo by Antoine Dautry on Unsplash Introduction: The normal equation is a closed-form solution used to solve linear regression problems. It allows us to directly compute the optimal parameters of the line (hyperplane) that …
Six Amazing Unknown Python Libraries
Author(s): Dhilip Subramanian Originally published on Towards AI. Cool python libraries for Data Engineering and NLP Photo by Jamie Fenn on Unsplash I’ve been using Python extensively for the last five years. As a result, I’m always looking for amazing libraries that …
Step-By-Step Machine Learning Project in Python — Credit Card Fraud Detection
Author(s): Fares Sayah Originally published on Towards AI. Demonstration of How to Handle Highly Imbalanced Classification Problems Photo by CardMapr on Unsplash What is Credit Card Fraud? Credit card fraud occurs when an individual uses someone else’s credit card or account information …
Transform Your Data Science Project: Discover the Benefits of Storing Variables in a YAML File
Author(s): Shivamshinde Originally published on Towards AI. This blog post will discuss the benefits of using a YAML file as a central repository for storing variables, parameters, and hyper-parameters in a data science project. It will explain how this method of storage …
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