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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 …
Software Testers May Soon be Replaced by AI Programs
Author(s): Ikshura Tachintha The future of AI-based software testing appears to be promising Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Seasonality Detection with Fast Fourier Transform (FFT) and Python
Author(s): Satsawat Natakarnkitkul Machine Learning Quickly detect seasonality using FFT in Python Photo by Isaac Smith on Unsplash Forecasting Forecasting is one of the process of predicting the future based on past and present data. Most of the forecasting problem associated with time series …
Google AutoML Vision for Image Classification
Author(s): Ritheesh Baradwaj Yellenki Train a Custom Machine Learning Model to Classify Images, then Deploy it to the Cloud or on the Edge Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How I Prepared For The AWS Certified Machine Learning Exam
Author(s): ___ A review of the materials I used to prep for the exam Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
An Insider’s guide to Cartoonization using Machine Learning
Author(s): Daksh Trehan Deep Learning, Computer Vision Implementing white-box models to “cartoonize” real high-quality images. Cartoonization is itself a classic art but, the evolution in the field of Machine Learning is covering almost every realm. Today, in this article we are going to …
Feature Selection in Machine Learning
Author(s): Shaurya Lalwani Machine Learning Photo by Louis Hansel @shotsoflouis on Unsplash In the real world, data is not as clean as it’s often assumed to be. That’s where all the data mining and wrangling comes in; to build insights out of the …
How Hospitals are using Responsible AI to battle COVID-I9
Author(s): David Yakobovitch Testing AI Accuracy, Building an AI Pilot Program and AI-led operations (AIOps) Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Helping Democratize AI, A Call to Action
Author(s): Stuart Kasemeier Artificial Intelligence A call to action to help democratize AI. To participate please visit Surveyhero Source: Google Images Companies across the globe are increasingly adopting Artificial Intelligence (AI). In Gartner’s AI-adoption-in-the-enterprise-2020-report, only 15% of surveyed respondents have stated to neither …
Regression Line with Mathematics for the Linear Regression
Author(s): Gul Ershad Statistics Introduction Regression is a prediction where the target is continuous and its applications are several. It is the simplest parametric model. Every data-set is given in a pair consisting of an input feature vector and label value. The …
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