OpenAI’s Approach to Solve Math Word Problems
Author(s): Jesus Rodriguez Originally published on Towards AI. A new research paper and dataset look to make progress in one of the toughest areas of deep learning. This member-only story is on us. Upgrade to access all of Medium. Source: https://www.quantamagazine.org/symbolic-mathematics-finally-yields-to-neural-networks-20200520/ Yesterday’s …
Analyzing Ordinal Data in SAS — Poisson and Negative Binomial distribution
Author(s): Dr. Marc Jacobs Originally published on Towards AI. Analyzing Ordinal Data in SAS — Poisson and Negative Binomial distribution This post is an extension to an introductory post on using PROC GLIMMIX in SAS. I already showed how to analyze ordinal …
Neural Style Transfer using a simple python library
Author(s): Divy Shah Originally published on Towards AI. Computer Vision A guide to neural style transfer using the amazing neural-style-transfer python library with few lines of code. In this tutorial, we will learn how to use the neural-style-transfer library to compose images …
![[DBT] Set Snowflake Query Tag for each DBT model [Tip-2]](https://i1.wp.com/miro.medium.com/v2/resize:fit:875/1*sgUOBBVBn-167_O1MN1Cmw.png?w=875&resize=875,432&ssl=1 "[DBT] Set Snowflake Query Tag for each DBT model [Tip-2]")
[DBT] Set Snowflake Query Tag for each DBT model [Tip-2]
Author(s): Karthikeyan Siva Baskaran Originally published on Towards AI. Software Engineering Query Tag feature in DBT is a database-specific configuration. In this article, let see how to customize it for Snowflake. Query tags are a Snowflake parameter that can be quite useful …
![[DBT] Override Default Schema with Custom Schema name [Tip-1]](https://i2.wp.com/miro.medium.com/v2/resize:fit:875/1*9PpLGoKk6EF_6Rlt4lBxoQ.png?w=875&resize=875,469&ssl=1 "[DBT] Override Default Schema with Custom Schema name [Tip-1]")
[DBT] Override Default Schema with Custom Schema name [Tip-1]
Author(s): Karthikeyan Siva Baskaran Originally published on Towards AI. Software Engineering Problem By default, DBT creates a model under the schema which is the combination of target_schema and custom_schema. But, there are scenarios where you want to create the schema using custom_schema …
Generalized Linear Mixed Models in SAS
Author(s): Dr. Marc Jacobs Originally published on Towards AI. Statistics Distributions, link functions, scales, overdispersion, and normality of residuals. All statistical models have a systematic and a random part. In ANOVA and GLM models, the systematic part is the fixed effect and …
Streamlit Cloud Is Open to Everyone — Will You Try It?
Author(s): Yong Cui Originally published on Towards AI. Free usage is still supported. But are they missing “middle-class” tiers in their pricing plans? This member-only story is on us. Upgrade to access all of Medium. Photo by jae bano on Unsplash Disclaimer: …
The AI Monthly Top 3 — October 2021
Author(s): Louis Bouchard Originally published on Towards AI. The most interesting October’s AI breakthroughs with video demos, short articles, code, and paper reference. This member-only story is on us. Upgrade to access all of Medium. Originally published on louisbouchard.ai, read it 2 …
How AI Captions Your Photos?
Author(s): Poornachandra Sarang Originally published on Towards AI. A conceptual guide to image captioning for a dummy This member-only story is on us. Upgrade to access all of Medium. Photo by Raj Rana on Unsplash Look at the image below. Image source: …
Self-Supervised Learning
Author(s): Adeel Originally published on Towards AI. Machine Learning Predict everything from everything else Photo by Shirota Yuri on Unsplash Machine learning is broadly divided into supervised, unsupervised, semi-supervised, and reinforcement learning problems. Machine learning has enjoyed the majority of success by …
Skewness and Kurtosis — Explanation in detail along with Cheat-sheet…
Author(s): Supriya Ghosh Originally published on Towards AI. Machine Learning Image by Author Before we start with the Skewness and Kurtosis, let me explain in brief about Moments since we will need moments for in and out understanding of Skewness and Kurtosis. …
Neural Circuit Policies: Mimicking Biological models in AI for better reliability and interpretability.
Author(s): Rakesh Acharya Originally published on Towards AI. Technology Neural Circuit Policies: Mimicking Biological models in AI for better reliability and interpretability. An attempt to understand NCPs and how threadworms inspired a group of researchers from MIT, TU Wien, and IST Austria …
Text Similarity using K-Shingling, Minhashing, and LSH(Locality Sensitive Hashing)
Author(s): Supriya Ghosh Originally published on Towards AI. Natural Language Processing Text similarity plays an important role in Natural Language Processing (NLP) and there are several areas where this has been utilized extensively. Some of the applications include Information retrieval, text categorization, …
Introduction to Numpy in Python
Author(s): sonia jessica Originally published on Towards AI. Programming Introduction to Numpy in Python What is NumPy? NumPy stands for numeric python, a Python module that allows you to compute and manipulate multi-dimensional and single-dimensional array items. It comes with a high-performance …
Bias-variance Decomposition 101: Step-by-Step Computation.
Author(s): Diletta Goglia Originally published on Towards AI. Photo by Bekky Bekks on Unsplash Have you ever heard of the “bias-variance dilemma” in ML? I’m sure your answer is yes if you are here reading this article 🙂 and there is something …
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