Monte Carlo Simulation An In-depth Tutorial with Python
Figure 1: The Monte Carlo Simulation methods are used in many industries, from the stock market to finance, energy, banking, and other forecasting models. | Source: Pexels An in-depth tutorial on the Monte Carlo Simulation methods and applications with Python Author(s): Pratik Shukla, …
CycleGAN as a Denoising Engine for OCR Images
Author(s): Sharon Lim Cleaning up scanned but dirty documents to their original form. With a clean document, performing OCR will be a much more accurate task. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Decoding the Science Behind Generative Adversarial Networks
Author(s): Daksh Trehan Deep Learning A dummies guide to GANs that aims at the art of faking! Generative adversarial networks(GANs) took the Machine Learning field by storm last year with those impressive fake human-like faces. Bonus Point* They are basically generated from nothing. Irrefutably, …
Feature Engineering with NLP
Author(s): Deep Patel Converting tokens of text into features and applying machine learning and deep learning model on it. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Safest Way To Containerize a Deep Learning Flask API
Author(s): Pushkara Sharma Deep Learning, Programming Building and Pushing a Docker Image of a Deep Learning Flask API in the Safest way possible. In this article, we will not discuss developing Machine Learning model but rather containerizing our ready to deploy ML …
Deadly or Delightful — AI to Predict Mushroom Toxicity
Author(s): Frederik Bussler A simple predictive analytics use-case. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Learning Curve To Detect The Bug In A Machine Learning Algorithm
Author(s): Rashida Nasrin Sucky How to develop a learning curve, detect if your algorithm is suffering from bias or variance and find the solution Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Introduction to Natural Language Processing
Author(s): Deep Patel NLP is a great tool to analyze text data and perform an amazing task when combined with machine learning and deep learning. So, let’s look… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
We Have a New Contender in the Cloud Market and It’s Made to Take Down AWS
Author(s): Shubh Patni Can Render replace DevOps engineers and takedown AWS? Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Exploratory Data Analysis (EDA) — Don’t ask how, ask what
Author(s): Louis Spielman The first step in any data science project is EDA. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Monte Carlo simulation on Dice Battles: RISK, 80 Attackers vs. 20 Defenders
Author(s): Michelangiolo Mazzeschi Performing simulations for Decision Making Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Stanford’s 2020 AIMI Symposium: A Brief Summary
Author(s): Ayaan Haque A quick rundown and takeaways from Stanford’s Artificial Intelligence in Medicine and Imaging Center 2020 Symposium. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Will The Next AI Be Superintelligent?
Author(s): Frederik Bussler AI can already code, and the next big AI will be so much better. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How to Calculate Accuracy for Regression?
Author(s): Benjamin Obi Tayo Ph.D. It depends on whether we are predicting a continuous or discrete target variable Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Observer Pattern vs. Pub-Sub Pattern
Author(s): Munish Goyal Software Engineering, Systems Don’t get confused with these two similar but different patterns, and know which one to use when. Photo by José Pablo Domínguez on Unsplash This difference is important to not just generic Software Engineers, but also to Data …
How Much Math do I need in Data Science?
Author(s): Benjamin Obi Tayo Ph.D. Image by Benjamin O. Tayo Math skills are essential in data science and machine learning I. Introduction If you are a data science aspirant, you no doubt have the following questions in mind: Can I become a data scientist …