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, …
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 …
Developing ‘mini-brains’ With the Help of Machine Learning
Producing novel treatments for psychological disorders with the help of machine learning Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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 …
Machine Learning (ML) vs. Artificial Intelligence (AI)—Crucial Differences
Machine Learning Open License — Image Credits: IoT World Today Unfortunately, some tech organizations are deceiving customers by proclaiming to use machine learning (ML) and artificial intelligence (AI) on their technologies while not being clear about their products’ limits. Helping Scale AI & Technology Startups …
Recent Posts
