How to Deal with Major Challenges in Machine Learning
Author(s): Siddhesh Jadhav Originally published on Towards AI. Best practices for all the common challenges in every step of machine learning problem Photo by bady qb on Unsplash We often get blocked at different steps while working on a machine learning problem. …
CSV File Format in Data Science
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Tutorial on importation and exportation of data in CSV files. Python and R implementations. Python and R functions for importing and exporting data using the csv file format. Image by Benjamin O. …
A Gentle Introduction to Meta-Learning
Author(s): Edward Ma Originally published on Towards AI. Learning to learn Photo by Edward Ma on Unsplash Human begins can learn new things in a few examples, while deep learning thus far is data-hungry. To have a good performance model, millions, or …
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 …
Why is Python the Ideal Programming Language for AI and Data Science?
Author(s): Kristy Hill Originally published on Towards AI. Image by Geralt at Pixabay Is Python the preferred programming language for AI and Data Science today? If yes, then let’s learn the logical reasons in this article, along with why it is an …
Machine Learning Resources from Sebastian Raschka
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Open-source resources from a bestselling author and machine learning expert that will enable you to unlock deeper insights into cutting-edge machine learning and deep learning Photo by Christopher Gower on Unsplash In …
The Data Science Behind Netflix
Author(s): Divy Shah Originally published on Towards AI. Top highlight “Netflix is not only a successful Service but it is completely a Data-Driven Service.” Netflix in numbers Last year Netflix announced that it signed on 135 million Paid customers worldwide. Netflix’s US …
A Lite BERT for Reducing Inference Time
Author(s): Edward Ma Originally published on Towards AI. BERT Photo by Ksenia Makagonova on Unsplash BERT (Devlin et al., 2018) achieved lots of state-of-the-art results in 2018. However, it is not easy to use BERT (Devlin et al., 2018) in production even …
Building a Machine Learning Model When Data Isn’t Available
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Advantages of high-quality data Before performing any data science task such as exploratory data analysis or building a model, you must ask yourself the following important questions: What do you want to …
Feature Scaling with Python’s Scikit-learn
Author(s): Bindhu Balu Originally published on Towards AI. Top highlight One of the primary objectives of normalization is to bring the data close to zero. That makes the optimization problem more “numerically stable”. Now, the scaling using mean and standard deviation assumes …
Feature Selection and Dimensionality Reduction Using Covariance Matrix Plot
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. 1. Import Necessary Libraries Top highlight This article will discuss how the covariance matrix plot can be used for feature selection and dimensionality reduction. A machine learning algorithm (such as classification, clustering …
A Basic Perceptron Model Using Least Squares Method
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Just like the billions of neurons that make up the human nervous system, the perceptron is the basic unit of artificial intelligence. Every thought, action, emotion or decision that we make reflect …
A Robustly Optimized BERT Pretraining Approach
Author(s): Edward Ma Originally published on Towards AI. What is BERT? Top highlight BERT (Devlin et al., 2018) is a method of pre-training language representations, meaning that we train a general-purpose “language understanding” model on a large text corpus (like Wikipedia), and …
Text Mining in Python: Steps and Examples
Author(s): Dhilip Subramanian In today’s scenario, one way of people’s success is identified by how they are communicating and sharing information with others. That’s where the concepts of language come into the picture. However, there are many languages in the world. Each …
Beginner’s Guide to Writing Data Science Blogs on Medium
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Are you new on Medium? Are you interested in writing data science articles and publishing these on Medium? This article will discuss the stages involved in writing a good data science article …
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