6 Ways to Increase the Accuracy of a Machine Learning Model
Author(s): Benjamin Obi Tayo Ph.D. Several factors could influence the quality or predictive power of your model Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Getting started with Titanic Kaggle
Author(s): Durgesh Samariya Recently I started using Kaggle and did my first ever competition — Titanic: Machine Learning from Disaster. This is a beginner-friendly… Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Closed-form and Gradient Descent Regression Explained with Python
Last Updated on August 7, 2020 by Editorial Team Author(s): Satsawat Natakarnkitkul Machine learning, Programming Regression problem simplified and implementation inΒ Python Photo by Jason Briscoe onΒ Unsplash Introduction Regression is a kind of supervised learning algorithm within machine learning. It is an approach …
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:Β Pexels Β An in-depth tutorial on the Monte Carlo Simulation methods and applications withΒ Python Author(s): Pratik Shukla, …
Image Classifier β Zalando Clothing Store using Monk Library
Author(s): Vidya Originally published on Towards AI. Computer Vision This tutorial is about image classification on the Zalando Clothing Store dataset using Monk Library. In this dataset, there are high-res, color, and diverse images of clothing and models. Tutorial available on GitHub. …
Create Your Own Harry Potter Short Story Using RNNs and TensorFlow
Author(s): Amisha Jodhani Originally published on Towards AI. What is an RNN? Photo by Rae Tian on Unsplash Still, waiting for your Hogwarts letter? Want to enjoy the feast in the Great Hall? Explore the secret passages in Hogwarts?Buy your first wand …
Dealing with Class Imbalance β Dummy Classifiers
Author(s): Abhijeet Sahoo Originally published on Towards AI. Image credit: https://datascience.aero/ Let me paint a picture for you, you are a beginner to the field of Data Science and have started making your first ML model for predictions and found the accuracy …
This AI Can Generate the Other Half of a Picture Using a GPT Model
Author(s): Louis Bouchard Originally published on Towards AI. A good AI, like the one used in Gmail, can generate coherent text and finish your phrase. This one uses the same principles in order to complete an image! All done in an unsupervised …
The Limits of Deep Learning
Author(s): Frederik Bussler Originally published on Towards AI. Deep Learning: Diminishing Returns? – Semiwiki Photo by Luca Ambrosi on Unsplash GPT-3, the latest state-of-the-art in Deep Learning, achieved incredible results in a range of language tasks without additional training. The main difference …
Curated List of Clustering Resources
Author(s): Durgesh SamariyaΒ Last updated on July 31, 2020. I am continuously updating thisΒ post. Photo by Pietro Jeng onΒ Unsplash Clustering or Cluster analysis is the task of grouping a set of objects in such a way that objects in the same group …
What is the practical impact?
Author(s): Francisco Utrera Originally published on Towards AI. We discovered a novel way to use adversarially-trained deep neural networks (DNNs) in the context of transfer learning to quickly achieve higher accuracy on image classification tasks β even when limited training data is …
Adversarially-Trained Deep Nets Transfer Better
Author(s): Francisco Utrera Machine Learning What is the practical impact? We discovered a novel way to use adversarially-trained deep neural networks (DNNs) in the context of transfer learning to quickly achieve higher accuracy on image classification tasksβββeven when limited training data is …
Implement a Neural Network from Scratch with NumPy
Author(s): Dorian Lazar Originally published on Towards AI. Background image source: Wikimedia Commons I think that the best way to really understand how a neural network works is to implement one from scratch. That is exactly what I going to do through …
Implement a Neural Network from Scratch with NumPy
Author(s): Dorian Lazar … a thing that is not as hard as you may think Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
COVID-19 Lockdown Impact Analysis
Author(s): Saiteja Kura Originally published on Towards AI. Analyze how the COVID-19 lockdown has effected daily movement using Googleβs Community Mobility data. Photo by Falaq Lazuardi on Unsplash LOCKDOWN! I never heard of this word until March 2020. I was startled by …