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A Gaussian Approach to the Detection of Anomalous Behavior in Server Computers
Author(s): Navoneel Chakrabarty Originally published on Towards AI. Let’s detect the anomaly… Anomaly Detection is a different variant of Machine Learning Problems that falls under Semi-Supervised Learning. It is Semi-Supervised because, in Anomaly Detection (also popularly known as Outlier Detection), models often …
Making A.I. Work for Advertising
Author(s): Dan Lovy Originally published on Towards AI. Implementing AI in the Advertising Industry U+007C Towards AI Take A Walk On The Wild Side You are a digital advertising professional. You either own or have access to vast amounts of information to …
Application of Synthetic Minority Over-sampling Technique (SMOTe) for Imbalanced Datasets
Author(s): Navoneel Chakrabarty Originally published on Towards AI. In Data Science, imbalanced datasets are no surprises. If the datasets intended for classification problems like Sentiment Analysis, Medical Imaging or other problems related to Discrete Predictive Analytics (for example-Flight Delay Prediction) have an …
Limitations of Deep Learning
Author(s): Roberto Iriondo Originally published on Towards AI. Artificial intelligence has achieved incredible feats thanks to deep learning, however, it still falls short of human capabilities. Top highlight February 12, 2019, by Roberto Iriondo — last updated: April 7, 2019 This article …
Bad and Good Regression Analysis
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Regression models are the most popular machine learning models. Regression models are used for predicting target variables on a continuous scale. Regression models find applications in almost every field of study, and …
Essential Math Skills for Machine Learning
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Top highlight Before discussing the 4 math skills needed in machine learning, let’s first of all describe the machine learning process. The machine learning process includes 4 main stages: 1. Problem Framing: …
3 Best Data Science MOOC Specializations
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Bringing you 3 ideal MOOC Data Science specializations to choose from This article discusses 3 important data science MOOC (Massive Open Online Course) specializations. Every beginner trying to learn the fundamentals of …
5 Steps to Become a Data Scientist
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Essential Skills That Every Data Scientist Should Have in His Skills Set Toolbox Data Scientist image. Source: www.quora.com Data Science is such a broad field that includes several subdivisions like data preparation …
Machine Learning: Python Linear Regression Estimator Using Gradient Descent
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Implementation Using Python Estimator In this article, we describe how a simple python estimator can be built to perform linear regression using the gradient descent method. Let’s assume we have a one-dimensional …
Recommended Articles
Author(s): Roberto Iriondo Originally published on Towards AI. References: Top highlight December 19, 2018, by Roberto Iriondo — Updated May 5, 2020 Everyone despises CAPTCHAs (humans, since bots do not have emotions) — Those annoying images containing hard to read the text, …
The Machine Learning Process
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. The machine learning process includes 4 main stages: Illustrating the Machine Learning Process. Define your project goals. What do you want to find out? Do you have the data to analyze? This …
Combating Media Bias with AWS Amazon Comprehend
Author(s): Bence L. Tóth Originally published on Towards AI. Combating Media Bias with NLP U+007C Towards AI Photo by Randy Colas on Unsplash In the world of fake news and ideology-driven subjective media coverage, it is questionable which sources of journalism can …
Machine Learning: Dimensionality Reduction via Linear Discriminant Analysis
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. A machine learning algorithm (such as classification, clustering or regression) uses a training dataset to determine weight factors that can be applied to unseen data for predictive purposes. Before implementing a machine …
Where the randomness comes
Author(s): Jun Wang Originally published on Towards AI. Word Embedding and Language Modeling U+007C Towards AI How to Get Deterministic word2vec/doc2vec/paragraph Vectors OK, welcome to our Word Embedding Series. This post is the first story of the series. You may find this …
Machine Learning: Dimensionality Reduction via Principal Component Analysis
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. How does PCA work? In machine learning, a dataset containing features (predictors) and discrete class labels (for a classification problem such as logistic regression); or features and continuous outcomes (for a linear …
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