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Diving Into Data Pipelines — Foundations of Data Engineering
Author(s): Towards AI Team An Introduction to Data Pipelines. How, What, When, and Why? Continue reading on Towards AI » Published via Towards AI …
Support Vector Machine (SVM) Introduction — Machine Learning
Author(s): Towards AI Team An introduction to support vector machines (SVM) in machine learning, and their role in supervised ML with examples Continue reading on Towards AI » Published via Towards AI …
State-of-the-Art Data Labeling With a True AI-Powered Data Management Platform
Author(s): Roberto Iriondo This tutorial has been brought to you thanks to Superb AI, the AI-powered enterprise-grade training data platform. | Source: Derivative from original by NASA on Unsplash Diving into genuine state-of-the-art automation of the data labeling workflow on large unstructured datasets …
What is a GPU? Are GPUs Needed for Deep Learning?
Author(s): Towards AI Team Diving into a technical explanation on what is a GPU Continue reading on Towards AI » Published via Towards AI …
K-Nearest Neighbors (KNN) Algorithm Tutorial — Machine Learning Basics
Author(s): Sujan Shirol, Husna Sayedi, Roberto Iriondo The image is a screenshot of the COVIDCAST application, an open-source project by the Delphi Research Group at Carnegie Mellon University. Diving into K-nearest neighbor, a fundamental classical machine learning (ML) algorithm Join us ↓ …
Diving Into the Poisson Distribution and Poisson Process
Author(s): Saniya Parveez, Roberto Iriondo Source: Unsplash What role does the Poisson distribution and Poisson process take in probability and statistics, and how is it used in real-life scenarios? Join us ↓ | Towards AI Members Towards AI is a community that …
Descriptive Statistics for Data-driven Decision Making with Python
Source: Image by the Author, created with Canva This article provides a sample of our book: “Descriptive statistics for data-driven decision making with Python” Author(s): Pratik Shukla, Roberto Iriondo Grab a full copy of our book ↓ Descriptive statistics for data-driven decision making with …
Genetic Algorithm (GA) Introduction with Example Code
Source: Derivative from qimono and comfreak on Pixabay An introduction to genetic algorithms, optimization, and implementations with code examples in Python Author(s): Sujan Shirol, Roberto Iriondo This tutorial will be diving into genetic algorithms in detail and explaining their implementation in Python. We will …
What is Deep Learning?
Source: Pixabay Diving into “what is deep learning” while providing an exciting and straightforward introduction to deep learning, how it works, and some example implementations Author(s): Saniya Parveez, Roberto Iriondo This tutorial’s code is available on Github and its full implementation as …
Random Number Generator Tutorial with Python
Image by the author, generated with Python to illustrate a random number generation in the scatterplot. Why are random numbers crucial in machine learning and data science? How do we build a random number generator for our projects? Author(s): Sujan Shirol, Roberto …
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