AWS re: Invent 2021 Artificial Intelligence and Machine Learning Session Guide for Builders and Architects
Author(s): Juv Chan Originally published on Towards AI. Careers My Top 5 Recommendations Welcome to AWS re:Invent at The Venetian Las Vegas in 2019. © Juv Chan. All rights reserved. Preface I create this guide to share my top 5 most looking …
Solving Blockchain Trilemma — Ultimate Goal of All Decentralized Networks
Author(s): Nishu Jain Originally published on Towards AI. Being decentralized, secure, and scalable at the same time is tougher than it looks This member-only story is on us. Upgrade to access all of Medium. Image by the Author (Designed using Canva) The …
Stock Market Prediction using Machine Learning
Author(s): Dennis Niggl Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. “With a good perspective on history, we can have a better understanding of the past and present, and thus a clear vision …
Result
Author(s): Low Wei Hong Originally published on Towards AI. Web Scraping Why you should use WebSocket to retrieve live crypto data Life-saving hack in getting ever-changing data! Photo by AbsolutVision on Unsplash One of the greatest ways to automate the process of …
Analyzing non-normal data in SAS — log data, mortality, litter, and preference scores.
Author(s): Dr. Marc Jacobs Originally published on Towards AI. This post is the last in a series showing the potential of PROC GLIMMIX which is the de facto tool for using Generalized Linear Mixed Models. After an introductory post and showing examples …
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 …
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