An article entitled "GraphQL using .NET Boxed: Mutations" written by Eric Anderson with 27 claps is now accessible for read!

#GraphQL

@ITNEXT

> Read More...

https://itnext.io/graphql-using-net-boxed-mutations-cbc39190f6db

A new article entitled "Fiction generator post-mortem: mythology generation" written by Rococo Modem Basilisk is now online!

#GenerativeArt #Mesopotamia #FictionGenerator #Nanogenmo #Mythology

@ITNEXT

For JuNoGenMo[1] this year, I wrote a small script to generate work in the style of sumerian mythology. > Read More...

https://hackernoon.com/fiction-generator-post-mortem-mythology-generation-d7548a08beac

An article entitled "RouteQL — GraphQL without the GraphQL" written by conor hastings with 34 claps is now accessible for read!

#Routeql #GraphQL #JavaScript #React #Frontend

@ITNEXT

GraphQL represents a paradigm shift in the way that we think about requesting data on the frontend. > Read More...

https://codeburst.io/routeql-graphql-without-the-graphql-e5a9803ab706

A new article entitled "Evolution of PaaSes to Platform-as-Code in Kubernetes world" written by CloudARK is now online!

#Paas #Kubernetes

@ITNEXT

A typical application stack can be described as following, where infrastructure is the foundation upon which an application platform gets… > Read More...

https://itnext.io/evolution-of-paases-to-platform-as-code-in-kubernetes-world-74464b0013ca

The article "Software Development Top 10 Articles — July 2018" written by Brandon Morelli with 466 claps is hot on the list of publications!

#Programming #Coding #Technology #SoftwareDevelopment #SoftwareEngineering

@ITNEXT

What’s trending in Software Development? > Read More...

https://codeburst.io/software-development-top-10-articles-july-2018-df8bfba3ada8

An article entitled "Graphs and ML: Multiple Linear Regression" written by Lauren Shin with 49 claps is now accessible for read!

#HousingPrices #GraphDatabase #LinearRegression #MachineLearning #DataScience

@ITNEXT

Same linear regression procedures, now unlimited independent variables! Greater functionality without additional complexity for the user. > Read More...

https://towardsdatascience.com/graphs-and-ml-multiple-linear-regression-c6920a1f2e70

​​Facebook have created and now open-sourced Nevergrad, a Python3 library that claims making easier to perform gradient-free optimizations.

Link: https://code.fb.com/ai-research/nevergrad/

Github: https://github.com/facebookresearch/nevergrad

​​Facebook has released #PyText — new framework on top of #PyTorch.

This framework is build to make it easier for developers to build #NLP models.

Link: https://code.fb.com/ai-research/pytext-open-source-nlp-framework/

Don't forget your old friends this holiday season. Jokes on you, #Java. #IT

Book title: The Data Science Handbook

by WILEY

@itnext

Book:
Text Analytics with Python

@NLPlinks

Deep learning cheatsheets, covering content of Stanford’s CS 230 class.

CNN: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-convolutional-neural-networks

RNN: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks

TipsAndTricks: https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-deep-learning-tips-and-tricks

#cheatsheet #Stanford #cnn #rnn #tipsntricks #dnn

Happy New Year! May 2019 be better than 2018 but not as good as 2020 😁

NLP 2018 Highlights

#NLP #AI #Conversational_AI #ML #

https://github.com/omarsar/nlp_highlights/blob/master/NLP_2018_Highlights.pdf

While I never professionally worked on graph based machine learning problems, they have always been fascinating and I have tried keeping up to date with newish papers. Today I came across a really nice package called AmpliGraph (https://lnkd.in/gpXYuuQ), available on pip and running on top of TensorFlow. The API looks very clean with a number of example notebooks. Excited to play around with this.

#machinelearning #ML #datascience #graphs #MLLM #Cubonacci #AI

New tutorial!🚀

Learn how to build an Image Hashing Search Engine that scales to 1,000,000s of images using #OpenCV, #Python, and VP-Trees.

Full tutorial w/ code here: http://pyimg.co/myj11 👍 #ComputerVision #MachineLearning #ArtificialIntelligence #DataScience #AI #BigData

Awesome Graph Classification

A collection of important graph embedding, classification and representation learning papers with implementations.

GitHub, by Benedek Rozemberczki: https://lnkd.in/eErZBnh

#graph2vec #deepgraphkernels #graphattentionmodel
#graphattentionnetworks

"Mathematics For Machine Learning"

A book that is intended to help people understand the #mathematics behind the #MachineLearning techniques.

Its aim is to make people understand what goes under the hood in common ML algorithms.

The best part is that the team is also working on Jupyter notebook tutorials

Download the PDF of the book: https://lnkd.in/e-gXPRf

100% OFF in Home Delivery Asia 2019>>> https://lnkd.in/f_TxgKN

For Data Science Implementations:
Know Data Science https://lnkd.in/fMHtxYP
Understand How to answer Why https://lnkd.in/f396Dqg
Machine Learning Terminology https://lnkd.in/fCihY9W
Understand Machine Learning Implementation https://lnkd.in/f5aUbBM
Machine Learning on Retail https://lnkd.in/fihPTJf
and Marketing https://lnkd.in/fBncKiy

Detecting new knowledge in unstructured text using ML. More evidence that when you put large amounts of papers and reports together and apply OpenSource machine learning to the text - the whole can be greater than the sum of its parts. This paper focuses on Thermoelectric materials.

Vice News Article
https://lnkd.in/gkXnEXt

Nature Paper (Tshitoyan et al 2019)
https://www.nature.com/articles/s41586-019-1335-8