Logistic Regression with BigQuery ML in 6 Steps
Author(s): Tirendaz AI Originally published on Towards AI. A step-by-step guide to building a logistic regression model with SQL using BigQuery ML. Image by Freepik Introduction A logistic regression model is a type of statistical model that is used to predict the …
The Gradient Descent Algorithm
Author(s): Towards AI Editorial Team Originally published on Towards AI. Image by Anja from Pixabay The what, why, and hows of the gradient descent algorithm Author(s): Pratik Shukla βThe cure for boredom is curiosity. There is no cure for curiosity.β β Dorothy …
Building a Content-Based Recommender System
Author(s): Edoardo Bianchi Originally published on Towards AI. A simple web application for movie recommendations This member-only story is on us. Upgrade to access all of Medium. The recommender app. Image by the author. Recommender systems (RSs) are everywhere. Amazon, Netflix, Spotify, …
Genetic Algorithm Optimization
Author(s): Chinmay Bhalerao Originally published on Towards AI. A detailed explanation of the evolutionary and nature-inspired optimization algorithm Photo by Sangharsh Lohakare on Unsplash βThe environment selects those few mutations that enhance survival, resulting in a series of slow transformations of one …
GELU : Gaussian Error Linear Unit Code (Python, TF, Torch)
Author(s): Konstantinos Poulinakis Originally published on Towards AI. Code tutorial for GELU, Gaussian Error Linear Unit activation function. Includes bare python, Tensorflow and Pytorch code. This member-only story is on us. Upgrade to access all of Medium. Photo by Markus Winkler on …
Sentiment Analysis (Opinion Mining) with PythonβββNLP Tutorial
Source: Derivative from original by Engin Akyurt onΒ PixabayΒ An in-depth NLP tutorial diving into sentiment analysis (opinion mining) withΒ Python Author(s): Saniya Parveez, Roberto Iriondo This tutorialβs code is available on Github and its full implementation as well on Google Colab. Table ofΒ Contents …
How to Build and Train Your First Neural Network
Author(s): Davuluri Hemanth Chowdary Originally published on Towards AI. Machine Learning Source: PythonProgramming Before we dive into the process of building the neural network, there are few prerequisites which you need to know. Tensor Tensor Operations Differentiation Gradient Descent Make sure you …
Get the Optimal K in K-Means Clustering
Author(s): Satsawat Natakarnkitkul Originally published on Towards AI. Provide the quick starting guide to find the optimal number of clusters in K-means clustering Top highlight Photo by Fotis Fotopoulos on Unsplash Clustering (or Cluster Analysis) helps to identify and group the data …