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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 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 …
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 person’s 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 Medium’s 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,θ) 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 …
10 Questions to Consider Before Pursuing a Career in Data Science
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Analyzing several parameters & conditions before jumping into Data Science career Top highlight Authors: Benjamin O. Tayo and Gideon Takor Benjamin O. Tayo LinkedIn Profile: https://www.linkedin.com/in/benjamin-o-tayo-ph-d-a2717511/ Gideon Takor LinkedIn Profile: https://www.linkedin.com/in/gideon-takor-mba-28835820/ Data …
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 …
Two Ways to Learn Audio Embeddings
Author(s): Edward Ma Originally published on Towards AI. Speech2Vec with Skip-gram and CBOW Photo by Álvaro Bernal on Unsplash Mel-frequency cepstral coefficients (MFCC), zero-crossing rate are some of classical feature for audio. It can be extracted via the library easily. However, it …
1000 Books Every CS Major Should Read
Author(s): Jag Singh Originally published on Towards AI. Most computer science and engineering majors have far too much reading on their plate to consider any outside reading of their own. If you’re not reading textbooks or documentation, then you’re probably reading Stack …
AI Schools — The Schools of the Future
Author(s): Ryan Lynch Originally published on Towards AI. The Schools of the Future, AI Schools U+007C Towards AI Technology is becoming a bigger part of our lives every day. Imagine driving to a new place without your sat-nav, ordering a takeaway without …
Data Scientist Interview Process — A Personal Experience
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Discussion about different stages of the interview process for a typical Data Scientist role Image Source: Forbes Are you a data scientist aspirant? Are you currently applying for data scientist positions? Do …
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