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A Primer on Linear Algebra - What You Need to Know Before Jumping Into Deep Learning

In this article, we will dig into some of the preliminary mathematical concepts, collectively known as linear algebra. A good foundation in Linear Algebra goes a long way for understanding Deep Learning. Deep Learning is…
AI Education

Evaluating Deep Learning Models with Abacus.AI - Forecasting (Part 4)

Hey folks, welcome to the final blog post of the four-part series, “Evaluating Deep Learning Models with Abacus.AI”. In this part, we will deal with arguably one of the hardest problem types in terms of…
AI Education

Evaluating Deep Learning Models with Abacus.AI - Recommendation Systems (Part 3)

Introduction Hi guys, welcome to the third post in the four-part series, “Evaluating Deep Learning Models with Abacus.AI”. We will cover most of the latest methods that are used to evaluate deep recommender systems in…
AI Education

Evaluating Deep Learning Models with Abacus.AI - Regression (Part 2)

Introduction Hey folks. Welcome back to the series, “Evaluating Deep Learning Models with Abacus.AI”. This is the second part of the four-part series where we will cover the evaluation of regression models. Again, there is…
AI Education

Evaluating Deep Learning Models with Abacus.AI - Classification (Part 1)

Introduction Hi, all. Welcome to the first post in the series, “Evaluating Deep Learning Models with Abacus.AI”. There will be four parts to this series where we will cover four types of problems: classification, regression,…
AI ResearchLatest in AI

Abacus.AI at NeurIPS 2020

The Abacus.AI team has published two papers to appear at the Conference on Neural Information Processing Systems (NeurIPS) 2020. NeurIPS is a top machine learning conference held every December. In this post, we give a…
AI ResearchLatest in AI

A Study on Encodings for Neural Architecture Search

In this post, we summarize our paper, A Study on Encodings for Neural Architecture Search, which will appear at NeurIPS 2020 as a spotlight paper. This work provides a theoretical and empirical study of different…
Case Study

Solving A Hard AI Problem: Generating Forecasts In Sparse Data Environments!

Anyone who’s worked in a manufacturing space can tell you that one of the most significant challenges they face is managing supply chains of the materials and speciality items used to fabricate products.
AI EducationLatest in AI

Beginner's Guide to Transformer Models

In our previous post, we presented an introduction to Seq2Seq models – models that take a sequence as an input and produce a sequence for their output. Back in 2014, they revolutionized the field of Natural Language Processing (NLP), especially in translation applications.