Build A Recommendation System With Simple Code in Python
Author(s): Rashida Nasrin Sucky How to build a movie recommendation system in Python Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
The Azure ML Algorithm Cheat Sheet
Author(s): Lawrence Alaso Krukrubo Cloud Computing, Machine Learning Understanding how to choose the best ML models A common question often asked in Data Science is:- Which machine learning algorithm should I use? While there is no Magic-Algorithm that solves all business problems with zero errors, the …
Applications of Data Science and Machine Learning in Netflix
Author(s): Sivasubramanian B 🤯Do you wonder how Netflix recommendations perfectly match your preferences? Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Build A Neural Network From Scratch In Python
Author(s): Rashida Nasrin Sucky Detail explanation and step by step implementation of a Neural Network Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Getting Started with Titanic Kaggle | Part 2 by Durgesh Samariya
Author(s): Durgesh Samariya Let’s develop model to predict Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
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 AI — Multidisciplinary Science Journal » 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 AI — Multidisciplinary Science Journal » 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 in Python Photo by Jason Briscoe on 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: Pexels An in-depth tutorial on the Monte Carlo Simulation methods and applications with Python Author(s): Pratik Shukla, …
Image Classifier — 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 — 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 Samariya Last updated on July 31, 2020. I am continuously updating this post. Photo by Pietro Jeng on Unsplash Clustering or Cluster analysis is the task of grouping a set of objects in such a way that objects in the same group …
Popular posts
Updates
Recent Posts
