Wednesday, May 18, 2022
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AI Robotics in Restaurant, Food Beverage industry

Sharing a few articles related to #AI and #Robotics in #Restaurant #Food #Beverage industry. There is a demand for #automation in this...

DALL.E – Creating Images from Text

OpenAI is a well known AI lab for creating the GPT-n series of deep learning pre-trained autoregressive language models similar to BERT/Roberta/XLNet....

DALL·E: Creating Images from Text

OpenAI is a well known AI lab for creating the GPT-n series of deep learning pre-trained autoregressive language models similar to BERT/Roberta/XLNet....

How A.I. Is Transforming Golf Equipment

The role of artificial intelligence in golf club design While we know of many business applications of AI, the...

John Deere self-driving tractors

Interesting article on automation in farming. Big area of interest across the world as labour, supply chain is getting disrupted due to...

Data Engineers vs Data Scientists

Interesting article on data engineers vs data scientists from https://gradientflow.com/ is given below. One of the main issues for building ML/AI/DL models...

NLP Transformers – Attention Is All You Need

In this article I'd like to share the original paper related to the concept of #Transformers in #NLP for #AI #DeepLearning. It...

USDA (United States Department of Agriculture) – AI in Agriculture and Food Supply Chain

USDA (United States Department of Agriculture) has published a series of articles and documents on how it plans to use AI to...

When not to use Deep Learning – LSTM (Long Short-term Memory) networks

This article is comparing the results of using a deep learning algorithm, LSTMs, for a regression problem versus simple Neural Networks and...

Market Correction – Risk assets sell-off

This 10% #selloff is just the beginning. Even a 50% #correction would only get to pre #covid levels, when #global #economy was...

AI/Deep Learning applications in healthcare industry

I am sharing this article to show some possible uses for AI/Deep Learning in healthcare industry. Healthcare industry has traditionally been slow...

RandomForest Regression model for predicting US 10 year Treasury Bond Prices using Macroeconomic Data

Building a #datascience #machinelearning #algorithm is relatively simple. 8 lines of #python code. It's...

DataWisdomX – Data Science course – Introductory videos to all lectures

Please check out the introduction video playlist on youtube to all lectures. It will give you an idea about what is being...

Data Science – End 2 End Beginners Course Part 1 – Machine Learning and...

Announcing the launch of our online course on Udemy and other online platforms. https://youtu.be/ZacHdseW00A

RoboAdvisor Algo – Part 1 ...

Overall - build a RoboAdvisor algo that can automatically construct and re-balance a multi-asset portfolio using forward predicted asset prices for different timeframesCreate a...

KDnuggets – Top Data Science, Machine Learning Methods Used, 2018/2019

Very interesting post by KDnuggets on machine learning methods being used. Lot of increase in usage for deep learning neural network algorithms....

ML Map – Choosing the right algorithm for your problem

Often the hardest part of solving a machine learning problem can be finding the right estimator (algorithm) for the job.

Geoffrey Hinton, Father of Deep Learning, research articles page

http://www.cs.toronto.edu/~hinton/papers.html One of his earlier articles written in 1986!Learning internal representations by error propagation. http://www.cs.toronto.edu/~hinton/absps/pdp8.pdf Another one...

Useful websites for Data Science

https://www.kdnuggets.com/ https://towardsdatascience.com/ https://machinelearningmastery.com/start-here/ https://www.analyticsvidhya.com/ https://www.kaggle.com/ https://www.datacamp.com/community/data-science-cheatsheets

Top Free Books for Data Science Basics

There are a large no of free books available online to learn the basics of data science. Very good to start with...

Applying NLP algorithms to Predict US Fed Fund Rate Decision

Objective Observe and improve the results of applying NLP algorithms on FOMC meeting minutes to predict Fed Fund rate decision (hike,...