Machine Learning Standardization (Z-Score Normalization) with Mathematics
Author(s): Saniya Parveez Introduction In Machine Learning, feature scaling is very important and a dime a dozen because it makes sure that the features of the data-set are measured on the same scale. The concept of feature scaling has come to the …
The Full List of Fortune 500 Data Science Blogs
Author(s): Frederik Bussler I searched every F500 site for data science blog content. Here’s what I found. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
5 Machine Learning Ideas I Learned At ACL 2020
Author(s): ___ Some useful techniques to keep in mind for any NLP-related projects Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How I got the AWS Machine Learning Specialty Certification
Author(s): Mayank Vadsola You don’t need recommended 1–2 years of hands-on experience Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Enterprise Apps adopt AI in the Golden Age of AI
Author(s): David Yakobovitch 5G Mega Trends and the rise of AI Applications Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How to Approach any Data Science Certification?
Author(s): Rahul Pathak The optimal way to start your Data Science Journey Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
K-Means vs. Affinity Propagation Clustering
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Finding Clusters Clustering is one of the simplest algorithms to implement with any Machine Learning tools. There are two different sets of algorithms dedicated to Clustering, depending on if we use Numerical Data (K-Means …
Unsupervised Learning, K-Means vs. Affinity Propagation Clustering
Author(s): Michelangiolo Mazzeschi Performing numerical Clustering using two approaches Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Main Types of Neural Networks and Their Applications — Tutorial
Author(s): Towards AI Editorial Team Originally published on Towards AI. A tutorial on the main types of neural networks and their applications to real-world challenges. Figure 1: Main types of neural networks, designed with app.diagrams.net, diagram is a derivative from Creative Commons …
Main Types of Neural Networks and its Applications — Tutorial
A tutorial on the main types of neural networks and their applications to real-world challenges. Author(s): Pratik Shukla, Roberto Iriondo Last updated March 17, 2022 Figure 1: Main types of neural networks, designed with app.diagrams.net, diagram is a derivative from Creative Commons …
Anomaly Detection Use Case: Credit Card Fraud Detection
Author(s): Aboze Brain John Jnr The fraudster’s greatest liability is the certainty that the fraud is too clever to be detected. — Louis J. Freeh Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
15 Top Questions To Ask App Developers Before Hiring Them
Author(s): Kristy Hill Programming, Software Engineering Mobile applications are taking over the entire world. In today’s time, mobile customers have started depending on applications to get familiar with items, and even will fork out cash to purchase applications. With technology accelerating and …
Bitcoin Price Prediction with LSTM using Q Blocks (Part I)
Author(s): Michelangiolo Mazzeschi Mining Bitcoin Data Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Fundamental Theorem of Algebra
Author(s): Marco Tavora Ph.D. Using Complex Numbers to Prove That All Polynomial Functions Have Roots Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Using Mathematical Modeling to Simulate an Epidemic
Author(s): Andrei Gasparovici Exploring and visualizing the SIR model Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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