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 …
Are Businesses Ready to Rake in the Moolah with DATA?
Author(s): Sreelatha S Originally published on Towards AI. Data as the New Economy U+007C Towards AI Photo by Franki Chamaki on Unsplash Data has become the new economy of our time. But are enterprises and businesses ready to derive value from this …
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 …
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, …
Breaking CAPTCHA Using Machine Learning in 0.05 Seconds
Machine learning model breaks CAPTCHA systems on 33 highly visited websites. The concept bases on GANs Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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 …
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