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Developing a Tic Tac Toe Gaming Agent with Genetic Algorithms: Optimizing Neural Nets with Genetic Algorithm with JavaScript (Part 2)

blog.paperspace.com | 18 min read | listed 37 minutes ago in Paperspace Blog

Part 2 of learning to create a tic tac toe gaming agent using JavaScript and Paperspace Core

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Code-Mixing : Multilingual Adversaries for Multilingual Models | Blog | Salesforce AI Research

blog.salesforceairesearch.com | 16 min read | listed 3 hours ago in Salesforce Research

Speakers in multilingual communities often code-mix (blending multiple languages in each sentence), and NLP systems need to perform reliably on code-mixed input to allow such communities to fully express themselves. However, most cross-lingual datasets are unable to test for code-mixing. To address this limitation, we created 2 highly effective multilingual adversarial attacks that push the ability of state-of-the-art NLP models to handle code-mixed input.

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How to become a Data Engineer – Frank's World of Data Science & AI

www.franksworld.com | 1 min read | listed 4 hours ago in Frank's World of Data Science & AI

Hot on the heels of my recent LinkedIn article on the topic, this Edureka video “𝐇𝐨𝐰 𝐭𝐨 𝐛𝐞𝐜𝐨𝐦𝐞 𝐚 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫” will guide you through the steps to learn and have a successful career in…

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Look up HTML entity or Unicode

www.johndcook.com | 1 min read | listed 7 hours ago in Consulting in mathematics, statistics, and scientific computing

Look up the HTML entity for a Unicode character, if there is one, or look up the Unicode value of an HTML entity.

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The Ultimate Guide to Pandas – Frank's World of Data Science & AI

www.franksworld.com | 1 min read | listed 7 hours ago in Frank's World of Data Science & AI

Pandas is a Python library that’s all about data structures and tables. In this video Mariya will cover its important methods as well as all the tricks and shortcuts to get you to pro level w…

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How to Get 7 Users on 1 PC? – Frank's World of Data Science & AI

www.franksworld.com | 1 min read | listed 8 hours ago in Frank's World of Data Science & AI

How did a company in the mid 2000s figure out how to cut the cost of computing six times over, and why haven’t any of us heard of it? How did they work around Microsoft’s legal limitati…

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A Basic Guide To Kubernetes in Production - Analytics Vidhya

www.analyticsvidhya.com | 17 min read | listed 8 hours ago in Analytics Vidhya

This article was published as a part of the Data Science Blogathon.   Introduction Modern applications are popularly made using container orchestration systems and microservice architecture. In 2014, the first echoes of the word Kubernetes in tech were heard, and the conquest of Kubernetes is due in no small amount to its flexibility and authority. Back […]

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Optimize Python With Direct Attribute Access | Better Programming

betterprogramming.pub | 4 min read | listed 8 hours ago in Data Science - Topic feed @ Medium

A simple, yet powerful, optimization technique that will make your programs run about 2.5 times faster

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Introductory note on Deep Learning - Analytics Vidhya

www.analyticsvidhya.com | 15 min read | listed 9 hours ago in Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Deep Learning Artificial Intelligence, deep learning, machine learning — whatever you’re doing if you don’t understand it — learn it. Because otherwise you’re going to be a dinosaur within 3 years. -Mark Cuban This statement from Mark Cuban might sound drastic – but its message is […]

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Data augmentation using few-shot prompting on transformers | ML6team

blog.ml6.eu | 3 min read | listed 10 hours ago in ML6team

Why do we need augmentation?

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How To Write Meaningful Git Commit Messages | by Kurtis Pykes | Jan, 2022 | Heartbeat

heartbeat.comet.ml | 2 min read | listed 10 hours ago in Heartbeat - Machine Learning at the Edge

Building Good Habits As A Developer

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Kaldi Speech Recognition for Beginners - A Simple Tutorial

www.assemblyai.com | 21 min read | listed 10 hours ago in reddit/LanguageTechnology/I made a tutorial on how to do Speech Recognition with Kaldi!

Want to learn how to use Kaldi for Speech Recognition? Check out this simple tutorial to start transcribing audio in minutes.

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How to Track Wildfires on Google Maps Guide - Compsmag

www.compsmag.com | 3 min read | listed 10 hours ago in European Media Monitor - Artificial Intelligence

This guide is about How to Track Wildfires on Google Maps. So read this free guide, How to Track Wildfires on Google Maps step by step. If you have query

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How to Avoid Building Bad Machine Learning Models by Validating Your Data | by Harpreet Sahota | Jan, 2022 | Heartbeat

heartbeat.comet.ml | 5 min read | listed 11 hours ago in Data Science - Topic feed @ Medium

The case for enforcing schema and detecting drift before it’s too late

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How to Build a Smarter Content  Marketing Program with Contrend

www.marketingaiinstitute.com | 6 min read | listed 11 hours ago in Marketing Artificial Intelligence Institute Blog

Contrend uses AI to discover your audience's content preferences. We spoke with the company to learn how.

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Torch Hub Series #6: Image Segmentation - PyImageSearch

www.pyimagesearch.com | 24 min read | listed 11 hours ago in pyimagesearch.com - blog

Learn about Fully Convolutional Networks (FCNs) for Segmentation. If you want to use FCNs for real-time segmentation using Torch Hub, this tutorial is for you.

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Attention Visualizer Package: Showcase Highest Scored Words Using RoBERTa Model | by NLPiation | Jan, 2022 | Towards AI

pub.towardsai.net | 2 min read | listed 11 hours ago in Towards AI

This library lets you easily see which words contribute the most in terms of self-attention score in each layer and head to the output…

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How To Implement A Successful DataOps Strategy And Why It Matters

www.forbes.com | 5 min read | listed 12 hours ago in European Media Monitor - Artificial Intelligence

As you adopt a DataOps strategy to help make your business a data business, here are four key things to keep in mind.

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How To Handle Files With Python Like a Pro | by Ali Haider | Jan, 2022 | Level Up Coding

levelup.gitconnected.com | 4 min read | listed 22 hours ago in Data Science - Topic feed @ Medium

Easy follow guide to delete, read, and write to a file using Python

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Word problems, modal logic, regular expressions

www.johndcook.com | 2 min read | listed 1 day ago in Consulting in mathematics, statistics, and scientific computing

Example of a word problem that comes up in modal logic that can be solved with regular expressions.

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Key Graph Based Shortest Path Algorithms With Illustrations - Part 1: Dijkstra's And Bellman-Ford Algorithms - DataScienceCentral.com

www.datasciencecentral.com | 13 min read | listed 1 day ago in Twitter — popular in #ai #bigdata #machinelearning

While many of the programming libraries encapsulate the inner working details of graph and other algorithms, as a data scientist it helps a lot having a reasonably good familiarity of such details.  A solid understanding of the intuition behind such algorithms not only helps in appreciating the logic behind them but also helps in making… Read More »Key Graph Based Shortest Path Algorithms With Illustrations – Part 1: Dijkstra's And Bellman-Ford Algorithms

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Some more Social Network Analysis with Python: Centrality, PageRank/HITS, Random Network Generation Models, Link Prediction | sandipanweb

sandipanweb.wordpress.com | 12 min read | listed 1 day ago in Twitter — popular in #ai #bigdata #machinelearning

In this article, some more social networking concepts will be illustrated with a few problems. The problems appeared in the programming assignments in the coursera course Applied Social Network Ana…

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Interpreting Exploratory Data Analysis (EDA) - DataScienceCentral.com

www.datasciencecentral.com | 5 min read | listed 1 day ago in Twitter — recent in #ai #bigdata #machinelearning

Introduction Exploratory Data Analysis (EDA) is an approach/philosophy for data analysis that employs a variety of techniques (graphical and quantitative) to better understand data. It is easy to get lost in the visualizations of EDA and to also lose track of the purpose of EDA. EDA aims to make the downstream analysis easier. To put… Read More »Interpreting Exploratory Data Analysis (EDA)

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This Post Was Written by GitHub Copilot | flower.codes

flower.codes | 6 min read | listed 1 day ago in Lobsters: ai - Artificial Intelligence, Machine Learning
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Andrej Baranovskij Blog: Hugging Face Gradio App on Docker

andrejusb.blogspot.com | 2 min read | listed 1 day ago in Andrej Baranovskij Blog

Blog about Oracle, Machine Learning and Cloud

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