Top 10 Open-Source Data Science Tools in 2022
Author(s): Arunn Thevapalan Originally published on Towards AI. An opinionated collection of libraries you definitely would want to checkout This member-only story is on us. Upgrade to access all of Medium. Image created by the author via Canva Iβm not going to …
How we can implement Random Forest using python?
Author(s): Akash Dawari Originally published on Towards AI. All About Random Forest In this article, we will understand Random Forest by answering the following questions: What is Random Forest? Why we are using Random Forest? How does Random Forest work? What are …
ICLR 2022 β A Selection of 10 Papers You Shouldnβt Miss
Author(s): Sergi Castella i SapΓ© Originally published on Towards AI. Hopefully the last big virtual-only AI conference of the year? The International Conference on Learning Representations is here and itβs packed with high-quality R&D: more than a thousand papers, 19 workshops, and …
How Does Google Generate Summaries?
Author(s): Louis Bouchard Originally published on Towards AI. A new model for automatically generating summaries using machine learning, released in Google Docs that you can already use! This member-only story is on us. Upgrade to access all of Medium. Originally published on …
Using AI to Analyze Speech
Author(s): Diego Unzueta Originally published on Towards AI. Applying NLP to analyze a podcast and making a web-app This member-only story is on us. Upgrade to access all of Medium. Adapted from Sarah Pflug Burst and Lukas Blazek on Unsplash Natural language …
Backtesting Machine Learning Models the Uber Way
Author(s): Jesus Rodriguez Originally published on Towards AI. The architecture is used to regularly back-test hundreds of forecasting models at Uber. This member-only story is on us. Upgrade to access all of Medium. Image Credit: Uber I recently started an AI-focused educational …
Top 3 Data Science Courses Every Data Scientist Should Consider
Author(s): Alexandros Zenonos, PhD Originally published on Towards AI. Online courses for data scientists This member-only story is on us. Upgrade to access all of Medium. Photo by Avel Chuklanov on Unsplash As someone interested in data science, you might be wondering …
Transformers: What Are They and How Can I Make One?
Author(s): Jonty Haberfield Originally published on Towards AI. A simple summary of Transformers for NLP tasks, and a guide to making a Transformer for text generation with PyTorch. This member-only story is on us. Upgrade to access all of Medium. Photo by …
Face Recognition Algorithms With 2 Different Methods
Author(s): Gencay I. Originally published on Towards AI. Finding Faces This member-only story is on us. Upgrade to access all of Medium. Image by Author Computer vision is copied form of human vision capability with the support of computer technology & algorithms …
Machine Learning A-Z Briefly Explained
Author(s): Gencay I. Originally published on Towards AI. Regression Model in Weight Prediction This member-only story is on us. Upgrade to access all of Medium. Image by Author In this article, I attempt to indicate to you machine learning A-Z briefly. You …
What is Ensemble Technique?
Author(s): Akash Dawari Originally published on Towards AI. All About Ensemble Techniques In this article we will try to understand the idea of the ensemble in the context of machine learning by answering the following questions: What are Ensemble Techniques? What are …
Understanding every bit of Dummy Variables β Must for AI and ML Engineers
Author(s): Supriya Ghosh Originally published on Towards AI. Top highlight Introduction Dummy variables are widely used in Data Science and Machine Learning due to the qualitative nature of dependent and independent variables. Qualitative includes categorical variables which mean variables can be classified …
Trends in AI β April 2022
Author(s): Sergi Castella i SapΓ© Originally published on Towards AI. Top highlight A monthly selection of ML research papers and news: NVidiaβs new H100 GPU, 540 billion parameter PaLM from Google, Pathways, Kubric, Tensor Programs, Bootstrapping Reasoning With Reasoning, the Sparse all-MLP …
Predicting Churn Rate in a Bank Using Artificial Neural Network with Keras
Author(s): Shaibu Samuel Originally published on Towards AI. Case Study: A virtual bank has been experiencing challenges with customers excessively leaving the bank. Some customers even exit the bank with unpaid loans, which has been affecting the productivity of the bank. The …