Estimating a Classifier Performance Just by Looking at the Distributions
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Most of the time, when our AI is not performing as we wish, we might blame the algorithms behind the model. However, a programmer with enough experience knows that the quality of the data …
New Multilingual Model — XTREME
Author(s): Edward Ma Originally published on Towards AI. Data Size Correlation Photo by Edward Ma on Unsplash Developing general-purpose multilingual representations is a trend in recent years. Most of the earlier models are developed based on English while we have several thousand …
Random Error Quantification in Machine Learning
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Every machine learning algorithm has an inherent random error that must be assessed and quantified Image by Benjamin O. Tayo Every machine learning model has an inherent random error. This error arises …
Classifying Credit-Loan Customers
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. 4a. K-Nearest-Neighbour Classifier (KNN): Intro.Exploratory data analysis.Feature-Engineering.Modeling and Evaluation.Conclusion.The classification decision should be based on some science… In August 2018, an article by the New York Post showed that more Americans were defaulting …
NLP News Cypher | 05.03.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Dwinanda Nurhanif Mujito on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 05.03.20 Freedom Last week, so much happened. ICLR was a great digital turnout and there were tons …
From MAML to MAML++
Author(s): Edward Ma Originally published on Towards AI. Training Instability: Photo by Edward Ma on Unsplash Imagine that you only see dog a few times, human beings are able to recognize a new concept or idea and recognizing dog later on. Meta-Learning …
End to End Tree Based Algorithm I: Decision Tree
Author(s): Pushkar Pushp Originally published on Towards AI. Which path to choose !! Introduction This blog aims to introduce readers to the concept of decision trees, intuition, and mathematics behind the hood. In the course of the journey, we will learn how …
Ensure Success of Every Machine Learning Project
Author(s): Mukul Malik Originally published on Towards AI. Computational level: -by geek-and-poke.com under CC-BY-3.0 Machine Learning projects can convince even an atheist that ‘the devil is in the detail’. Allegedly, a report from Gartner predicted that 85% of the Machine Learning projects …
NLP News Cypher | 04.26.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Cherise Evertz on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 04.26.20 Recursion Last week was a whirlwind. Thank you for your support. U+1F92F If you’re not in the …
From ContE to Entity Type Embeddings in Natural Language Processing
Author(s): Edward Ma Originally published on Towards AI. Photo by twinsfisch on Unsplash In the previous story, TransE (Border et al., 2013) use a translating mechanism to transform subject (s) by the predicate (p) to object (o). Just like word2vec, we can …
9 ???? Object Detection Datasets
Author(s): Akula Hemanth Kumar Originally published on Towards AI. Photo by Jimmy Chang on Unsplash Starter code Available using Monk Libraries In this article, I am going to share a few datasets for Object Detection. Starter code is provided in Github and …
21 Words About Knowledge, Every AI-Savvy Leader Must Know
Author(s): Yannique Hecht Originally published on Towards AI. Artificial Intelligence Think you can explain these? Put your knowledge to the test! [This is the 2nd part of a series. Make sure you read about Search Algorithms before continuing. Future topics include Uncertainty, …
What? How? Why? — In the World of Data Science!
Author(s): Deepak Sekar Originally published on Towards AI. In this article, we will see the three things that matter the most in the Data Science Process What — What is the Business requirement? What are the data sources and features? What is …
Linear Regression from Scratch
Author(s): Nunzio Logallo Originally published on Towards AI. Photo by William Daigneault on Unsplash If you started to learn data science or machine learning, you have also heard about linear regression, but what is it and when should we use it? Linear …
NLP Colab Repository
Author(s): Ricky Costa Originally published on Towards AI. Photo by rolf neumann on Unsplash More than 100 Colab Notebooks Running AI Models In January, we released the Big Bad NLP Database to help ML developers get exposed to quality and diverse datasets. …
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