Basic Linear Algebra for Deep Learning and Machine Learning Python Tutorial
Figure 1: A three-dimensional Euclidean space used to represent solutions of linear equations [1] [2]. Image is a vector derivative from “High-dimensional Simplexes for Supermetric Search” by Richard Connor, Lucia Vadicamo, and Fausto Rabitti [3]. An introductory tutorial to linear algebra for machine …
Git Aliases — What Are They And How To Use Them?
Author(s): Catalin Pit Being a developer, we work a lot with Git. We tend to write the same commands countless times in a day. Thus, repeating the same long Git… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
5 Data Granularity Mistakes That May Cost You
Author(s): Elena Marocco How closely should you look at your data to maximize returns? Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Deep Learning Algorithms For Solving Advanced Mathematical Problems
Author(s): Dasaradh S K Neural networks are getting better at math Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
A New Brain-inspired Intelligent System Drives a Car Using Only 19 Control Neurons!
Author(s): Louis (What’s AI) Bouchard Imitating the nematode’s nervous system to process information efficiently, this new intelligent system is more robust, more interpretable… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Human-Centered AI For Better Health Outcomes
Author(s): David Yakobovitch Health Technology 2020 Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Enterprise-grade NER with spaCy
Author(s): Shubham Saboo Natural Language Processing Build Industrial strength Named Entity Recognition (NER) applications within minutes… spaCy = space/platform agnostic+ Faster compute Named Entity Recognition is one of the most important and widely used NLP tasks. It's the method of extracting entities (key information) …
Intensive and Extensive Features in Data Science
Author(s): Benjamin Obi Tayo Ph.D. Intensive variables tell us much more about a system than extensive variables. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Credit Card Anomaly Detection using Machine Learning
Author(s): Amit Chauhan Credit card companies shall be able to recognize fraudulent credit card transactions. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Beginners Guide to Cloud Computing
Author(s): Muktha Sai Ajay A comprehensive guide on the basics of cloud computing Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How to Handle Imbalanced Data in Machine Learning
Author(s): Chetan Ambi Different methods to handle imbalanced data when solving classification tasks Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Get Google Trends using Python
Author(s): George Pipis Example of How you can get the Google Trends in Python Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Feature Selection in Python
Author(s): George Pipis A practical example of how you can select the most important features Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Introduction to Quantum Computing with Python and Qiskit
Author(s): Bala Priya C First steps into the realm of quantum computing Photo by Michael Dziedzic on Unsplash This is a blog post on getting started with quantum computing using Python and IBM Qiskit, inspired by Sara A. Metwalli’s webinar in the Women Who …
Lakehouse and the evolution of Data Lake
Author(s): Bruno Cordeiro Simplifying data infrastructure and accelerating innovation Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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