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Logistic Regression — An Overview with an Example
Author(s): Moeedlodhi A brief Introduction to the Logistic Regression along with implementation in Python Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
An Example of Branchless Logic Using Excel
Author(s): Ashutosh Malgaonkar This is an article that uses the IRIS flowers dataset and the geometric mean classifier as an example to introduce the application of… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Introduction to Deep Learning with TensorFlow
Last Updated on August 26, 2020 by Editorial Team Author(s): Satsawat Natakarnkitkul Artificial Intelligence, Deep Learning Gentle introduction and implementation of the top three types of ANNs; feed-forward neural networks, RNNs, and CNNs using TensorFlow With the current advancement in data analytic and …
Step by Step Creation of an EC2 Instance in AWS and Access it via Putty & WinSCP
Author(s): Balakrishnakumar V Cloud Computing An EC2 instance is a virtual server (Just like our computer, but in the cloud) in Amazon’s Elastic Compute Cloud (EC2) for running applications on the Amazon Web Services (AWS) infrastructure. Let’s get started. Under services, click EC2 …
Why Every Data Scientist Should Write Tech Blogs
Author(s): Pushkara Sharma 5 Benefits of writing Blogs that will definitely Boost your Data Science Profile. Source: WordPress In this article, rather than coding, I would like to share some of the benefits of writing a blog/article/tutorial as a Data Science Enthusiast. Trust …
Weekly Machine Learning Research Paper Reading List — #4
Author(s): Durgesh Samariya For this week (24/8/2020–30/8/2020), This week I am going to read the following 3 research papers. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How Much Is Your Personal Data Worth?
Author(s): Tashina Alavi Your job, relationship status, and health condition influence your data value more than you might know. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Reinforcing the Science Behind Reinforcement Learning
Author(s): Daksh Trehan Dummies guide to Reinforcement learning, Q learning, Bellman Equation. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Making AI More Accessible
Author(s): Elena Marocco Why UX Is a Vital Part of the Success of AI Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How I Built a Colorectal Cancer Prediction Platform through Deep Learning
Author(s): Adrian Serapio Deep Learning I believe that artificial intelligence can save the human race. How ironic is it though that as any generic sci-fi portrays it, any advanced AI would suddenly conceive the thought that exterminating the human race is the solution …
Predicting Heart Failure Survival with Machine Learning Models — Part I
Author(s): Anirudh Chandra A step-by-step pythonic walk-through of the analysis of survival data along with domain-level explanation. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Data Validation Framework in Apache Spark for Big Data Migration Workloads
Author(s): Karthikeyan Siva Baskaran Quality Assurance Testing is one of the key areas in Bigdata Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Calculus in Machine Learning
Author(s): Benjamin Obi Tayo Ph.D. Behind every machine learning model is an optimization algorithm that relies heavily on calculus Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
A Rudimentary Voice Authentication System with Mobile Deployment
Author(s): OngKoonHan Speaker Verification, Android Deployment, Deep Learning, Web Service Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Easy to use Correlation Feature Selection with Kydavra
Author(s): Vasile Păpăluță Machine Learning Almost every person in data science or Machine Learning knows that one of the easiest ways to find relevant features for predicted value y is to find the features that are most correlated with y. However few …
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