All Types of ML Accelerators
Author(s): Luhui Hu Originally published on Towards AI. AI Engineering Comprehensive overview of machine learning accelerators from training to serving The past decade has been the era of deep learning. We are thrilled with unstopping milestones from AlphaGo to DELL-E 2 and …
Analyzing The Data
Author(s): Rijul Singh Malik Originally published on Towards AI. Top highlight A blog series about how to analyze data. Photo by Carlos Muza on Unsplash Data Analysis: An Introduction Data analysis is a set of methodical techniques used to describe and summarize …
Binary Classification Using Logistic Regression vs Visualizations
Author(s): Gurami Keretchashvili Originally published on Towards AI. How to visualize a dataset using Seaborn? how to create a machine learning model using logistic regression? Power of good visualization. This member-only story is on us. Upgrade to access all of Medium. In …
Code Reproducibility Crisis in Science And AI
Author(s): Salvatore Raieli Originally published on Towards AI. Saving AI and scientific research requires we share more images generated by the author using OpenAI’s DALL-E 2 Modern science suffers from a reproducibility problem. Typically, the output of a scientific project is to …
Setting Up Data Science Teams For Success
Author(s): Ori Cohen Originally published on Towards AI. By providing data, product & ML engineering functions This member-only story is on us. Upgrade to access all of Medium. Figure 1: The Three Pillars Of Data Science, Dr. Ori Cohen. It seems like …
Airflow Production Tips — Grouped Failures and Retries
Author(s): Guilherme Banhudo Originally published on Towards AI. Photo by Jackson Simmer on Unsplash Apache Airflow has become the de facto standard for Data Orchestration. However, throughout the years and versions, it accumulated a set of nuances and bugs which can hinder …
(Part I) Fostering Criminal Justice with Data Science
Author(s): Vincent Liu Originally published on Towards AI. A Data-driven Analysis of the Uniform Crime Report 2021 DC Arrest Data Source: Official NIBRS Website As a crime researcher, I am always intrigued by the questions of how many crimes were committed in …
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 “The cure for boredom is curiosity. There is no cure for curiosity.” — Dorothy …
Top 5 Machine Learning Industries in 2022
Author(s): Mostafa Ibrahim Originally published on Towards AI. Machine learning is rapidly expanding into a lot of industries and sectors! This member-only story is on us. Upgrade to access all of Medium. Source While artificial intelligence was no more than a theoretical …
AI Policy: Impact on National Security
Author(s): Rajesh Verma Originally published on Towards AI. Politics U+007C Ethics U+007C Technology Analyzing the long-term national security impact of adopting Artificial Intelligence (AI) and how AI policy can help regulate that is critical. Adopting AI, or the lack thereof, will impact …
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 “The environment selects those few mutations that enhance survival, resulting in a series of slow transformations of one …
Different Ways To Find Outliers in the Data and How To Remove Them Using Interquartile Statistics
Author(s): Ashbab khan Originally published on Towards AI. Outliers are the data points or observations far from other data points or very different from other data points. Photo by Joshua Sortino on Unsplash Why remove outliers from the data Outliers cause so …
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 …
Recent Posts
