Understanding Dimensionality Reduction
Author(s): Vikas K Solegaonkar (ThinkPro Systems) Originally published on Towards AI. Python Code Top highlight We all understand that more data means better AI. That sounds great! But, with the recent blast of information, we often end in a problem of too …
Data Science for Biodiversity
Author(s): Tadeusz Bara-Slupski Originally published on Towards AI. Photo by Jonathan Mast on Unsplash Conservation of plant, animal and forest genetic resources The climate change effort is becoming a multi-trillion industry. In such a landscape characterized by a multitude of different projects, …
Why AI is Not a Magic Wand
Author(s): Dev Shah Originally published on Towards AI. A recommender system use case POC I worked on an ML project recently where the ask was to build a recommender system (Remember, itβs a proof of concept). A system that recommends usersβ materials …
Introduction To Linear Regression
Author(s): Manish Nayak Originally published on Towards AI. Introduction One of the simplest models of machine learning is linear regression, but linear models are building blocks of deep neural networks and they are really important. There are two main classes of supervised …
Introduction to Federated Learning
Author(s): Manish Nayak Originally published on Towards AI. Introduction Any deep learning model learns from the data and that data must be collected or uploading on the server (one machine or in a data center). A most realistic and meaningful deep learning …
Making The Smart Bet On Cybersecurity
Author(s): Charles Towers-Clark Originally published on Towards AI. Cybersecurity strategy doesnβt have to be a gamble, but trying to beat the odds of a breach is an impossible task. Educating your entire organization, and automating the most data-heavy tasks provide the best …
Building a Machine Learning Model When Data Isnβt 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 …
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 …
Adversarial Attacks in Textual Deep Neural Networks
Author(s): Edward Ma Originally published on Towards AI. What is an adversarial attack? Photo by Solal Ohayon on Unsplash Adversarial examples aim at causing target model to make a mistake on prediction. It can be either be intended or unintended to cause …
Feature Scaling with Pythonβs 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 βnumerically stableβ. 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 …
Using a CNN to Classify Age Groups
Author(s): Atiar Rahman Originally published on Towards AI. Diving Into my First Convolutional Neural Network U+007C Towards AI Having recently learned about convolutional neural networks, I wanted to build my own. Initially, I wanted to be able to get a personβs age …
Choose the Right Featured Image For Your Data Science Articles
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Choosing the right featured image plays a key role in whether your article gets selected and recommended by Mediumβs curators to topics. This article will discuss some suggestions on how to choose …
A Quick Guide to Gradient Descent and its Variants
Author(s): Riccardo Di Sipio Originally published on Towards AI. And if you do not know where to start from, optimize the learning rate In machine learning, one deals with some mathematical model z = F(x,ΞΈ) which is a function of some input …
Model-Based Meta Reinforcement Learning
Author(s): Sherwin Chen Originally published on Towards AI. Dive into a model-based meta-RL algorithm that enables fast adaptation Image by mrthoif0 from Pixabay Much ink has been spilled on with model-free meta-RL in the previous article. In this article, we present a …
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