Tackle Imbalanced Learning
Author(s): Satsawat Natakarnkitkul Originally published on Towards AI. Photo by Rupert Britton on Unsplash Imbalanced learning U+007C TOWARDS AI All you need to know on how to tackle imbalanced learning issues Introduction If you have been in the field of data science …
Naive Bayes Classifiers
Author(s): Bindhu Balu Originally published on Towards AI. This article discusses the theory behind the Naive Bayes classifiers and their implementation. Naive Bayes classifiers are a collection of classification algorithms based on Bayesβ Theorem. It is not a single algorithm, but a …
BatchNorm for Transfer Learning
Author(s): Michal Lukac Originally published on Towards AI. Making your networks to learn faster in TensorFlow 2+ source: Pexels There are still a lot of models that use Batch Normalization layers. If you would like to do transfer learning on such models, …
Basic Concepts of Artificial Intelligence and Its Applications
Author(s): Joshua Yeung Originally published on Towards AI. Exploring Big Data and Artificial Intelligence Photo by Hitesh Choudhary on Unsplash This section brings you the basic concepts of artificial intelligence. We will explain the definition of artificial intelligence, what artificial intelligence can …
Smartest of the smart: 12 AI tools to make software intelligent
Author(s): Vitaly Kuprenko Originally published on Towards AI. How to pick a proper AI library for your software Look around, and some mind-blowing things are happening in the world. Cars driving across the streets on autopilot mode, some girl named "Alexa" can …
Multi-lingual Language Model Fine-tuning
Author(s): Edward Ma Originally published on Towards AI. The Problem of Low-resource Languages Photo by Chloe Evans on Unsplash English is one of the richest resources in natural language processing field. Lots of state-of-the-art NLP models support English natively. To tackle multi-lingual …
Machine Learning in Sales Processes
Author(s): Prashant Sai Originally published on Towards AI. Sales funnel processes and segments can be different for different companies based on the type of service provided by the respective company, whether itβs inbound or outbound sales. The content, campaigns, and sales pitch …
Pros & Cons of the Most famous AI Algorithms
Author(s): Surya Govind Originally published on Towards AI. Photo by Alex Knight on Unsplash Famous AI weapons: what is the use, when to use & when to ignore. Point-wise summary Introduction: First, letβs see what a Classifier is: An algorithm that maps …
Efficient Pandas: Using Chunksize for Large Data Sets
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. Question One: Data Science professionals often encounter very large data sets with hundreds of dimensions and millions of observations. There are multiple ways to handle large data sets. We all know about the …