2018

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OMSCS CS7642 (Reinforcement Learning) Review and Tips

Eugene Yan

OMSCS CS7642 (Reinforcement Learning) - Landing rockets (fun!) via deep Q-Learning (and its variants).

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How Big Data Assists in Disaster Relief and Preparedness

Dataconomy

Disasters are dangerous, but Big Data can help improve disaster relief and preparedness to cut back on lives lost and community damage. Historically, public policies have proved ineffective in providing adequate help for disaster-stricken citizens. A year after hurricane Harvey in 2017, for example, residents are still in the midst. The post How Big Data Assists in Disaster Relief and Preparedness appeared first on Dataconomy.

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Tableau Conference Keeps on Getting Bigger and Better

DataRobot Blog

by Jen Underwood. Tableau’s right place, right time, right solution market momentum continues to fuel what seems to be unstoppable growth over the past five years. Hosted in New Orleans at the massive. Read More.

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Text analysis with named entity recognition

Depends on the Definition

This is the second post of my series about understanding text datasets. If you read my blog regularly, you probably noticed quite some posts about named entity recognition. In this posts, we focused on finding the named entities and explored different techniques to do this.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are le

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Dec 6 2018: Recapping Amazon re:Invent & HPE Discover

DataCentric podcast

In this episode of the DataCentric podcast, hosts Matt and Steve discuss the large number of datacenter-impacting announcements at Amazon’s premier cloud event re:Invent, including news of Amazon deploying their custom-built ARM parts, bringing cloud on-prem, and more. The team also recaps the highlights from HPE Discover in Madrid, where the focus was on edge computing, composable infrastructure and intelligent storage. * Here are some links to explore, should you want to go deeper: * We've

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More Trending

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A first step into the ‘Wild West’ of text analytics

Data Science Connect

If data science is the new frontier for businesses, text analytics is certainly the ‘Wild West’. But start talking about it to Joe Sutherland , PhD candidate at Columbia University, and you’ll quickly understand that while text analytics is still a growing and changing field, it is already revolutionizing the intersection between technology and society.

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Simple guide to Neural Arithmetic Logic Units (NALU): Explanation, Intuition and Code

ML Review

The research engineers at DeepMind including well known AI researcher and author of the book Grokking Deep Learning , Andrew Trask have published an impressive paper on a neural network model that can learn simple to complex numerical functions with great extrapolation (generalisation) ability. In this post I will explain NALU, its architecture, its components and significance over traditional neural networks.

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Stand Out in Your Job Search with an Interactive Tableau Resume

Tableau

Tamsin Rowntree. Academic Program Specialist, Tableau. Marissa Michelotti. July 5, 2018 - 9:53pm. December 8, 2022. We get it, applying for jobs is hard work. With recruiters spending just 6 seconds skimming each resume , it's now more important than ever to make your resume standout. . No, I'm not going to recommend printing your resume on a cake.

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NeverLAN CTF 2018 Writeups

Shreyansh Singh

These are the writeups of the problems I solved over the weekend for the NeverLAN CTF 2018. Scripting Challenges 1. Basic Math We are given a file with some numbers which we had to sum. File So, we write a simple python script to do it. This gives the flag — 49562942146280612 2. More Basic Math This time we have a larger list of numbers. However, we can just run the script again on the new file.

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The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? The Senzing Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. You’ll learn about use cases, technology and deployment options, top ten evaluation criteria and more.

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Explosion in 2017: Our Year in Review

Explosion

We founded Explosion in October 2016, so this was our first full calendar year in operation. We set ourselves ambitious goals this year, and we’re very happy with how we achieved them. Here’s what we got done. Company and Fundraising Over the last year, more and more companies have been questioning the logic of the standard venture-backed startup playbook.

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OMSCS CS6460 (Education Technology) Review and Tips

Eugene Yan

OMSCS CS6460 (Education Technology) - How to scale education widely through technology.

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How Blockchain is Boosting Renewable Energy

Dataconomy

The explosion in renewable energy projects on blockchain is already promising—there are 122 startups operating in the space, with nearly half launching since 2017. More impressively, these startups have raised over $320 billion between the second quarter of 2017 and the first of 2018. Electricity is undoubtedly one of the. The post How Blockchain is Boosting Renewable Energy appeared first on Dataconomy.

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Industry Pulse September 2018 Highlights

DataRobot Blog

by Jen Underwood. Long time, no news summaries…what happened? I’ll share the scoop on that soon. In the meantime, Cloudera and Hortonworks announced a merger that was really “big” news yesterday. That merger. Read More.

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Named entity recognition with Bert

Depends on the Definition

In 2018 we saw the rise of pretraining and finetuning in natural language processing. Large neural networks have been trained on general tasks like language modeling and then fine-tuned for classification tasks. One of the latest milestones in this development is the release of BERT.

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Making a smart meter out of a dumb one for 4 $

Christian Haschek

As a geek who has a few servers and other devices at home I can't stop thinking about my power out

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How I hacked my Xiaomi MiBand 2 fitness tracker — a step-by-step Linux guide

Machine Learning World

This is a step by step guide into how I hacked my Bluetooth Low Energy (BLE) fitness tracker so I could control it from Linux. This story started from a Facebook post I made talking about a problem of the absence of an API for fitness trackers, and why that’s not helping data scientists make cool stuff for them. The post generated quite a lot of discussion and after caught the attention of my friend Volodymyr Shymanskyy who tried to help me and found some code on Github from Leo Soares for my fi

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Dec 19 2018: 2018 Datacenter Trends

DataCentric podcast

In this episode of the DataCentric podcast, hosts Matt and Steve from Moor Insights & Strategy discuss the trends that drove the past year in enterprise compute. They touch on the just-released market numbers for enterprise server and storage, talk about how the realities of cloud are impacting innovation in a hybrid-cloud world, Nutanix, Microsoft Azure, and more. 00:00 Introductions 01:20 3Q18 Server and Enterprise Storage Numbers 02:20 The Impact of China on the Enterprise Hardwarwe Marke

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Helping AI Uncover the Mysterious Veil of Chinese Characters

ML Review

This article is part of the Academic Alibaba series and is taken from the paper entitled “Learning Chinese Word Embeddings with Stroke n-gram Information” by Shaosheng Cao, Wei Lu, Jun Zhou, and Xiaolong Li, accepted by the 2018 Conference of the Association for the Advancement of Artificial Intelligence. The full paper can be read here. The field of natural language processing (NLP) has recently seen an increasing amount of attention given to word representation learning.

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Stand Out in Your Job Search with an Interactive Tableau Resume

Tableau

Tamsin Rowntree. Academic Program Specialist, Tableau. Marissa Michelotti. July 5, 2018 - 9:53pm. December 8, 2022. We get it, applying for jobs is hard work. With recruiters spending just 6 seconds skimming each resume , it's now more important than ever to make your resume standout. . No, I'm not going to recommend printing your resume on a cake.

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Apollo.io Incident

Twilio Segment

Segment was impacted by Apollo.io’s recent security incident. Here’s what you need to know.

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AngstromCTF Writeups

Shreyansh Singh

These are the writeups to the problems I solved during the AngstromCTF. MISC 1. Waldo1 We are given a zip file — flags.zip containing flags of countries. The file flag5.png, we see on opening has the flag. Flag-Waldo1 2. Waldo2 In this problem, we are given multiple flag images in a folder. Judging by the problem, it seems that one image is different.

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OMSCS CS6601 (Artificial Intelligence) Review and Tips

Eugene Yan

OMSCS CS6601 (Artificial Intelligence) - First, start with the simplest solution, and then add intelligence.

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15 GLOBAL INFLUENCERS IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Dataconomy

It’s easier to get a job if you are an Artificial Intelligence (AI) or Machine Learning (ML) ‘expert’, and investors want to bet on companies which use the words AI or ML in their mission statements. And why should that not be the case? McKinsey estimates AI techniques have the. The post 15 GLOBAL INFLUENCERS IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING appeared first on Dataconomy.

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New Tableau Prep, Role-Based Pricing and 2018.1

DataRobot Blog

by Jen Underwood. Classic! On the same day as Qlik’s roadmap keynote and Power BI’s Summit in Ireland, Tableau decides to rain on both of those parades. Tableau stole the thunder yesterday with. Read More.

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Understanding text data with topic models

Depends on the Definition

This is the first post of my series about understanding text datasets. A lot of the current NLP progress is made in predictive performance. But in practice, you often want and need to know, what is going on in your dataset.

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Reverse engineering your mobile banking app

Christian Haschek

Our Austrian banks (seemingly) hate developers as they don't give you an API to check banking stat

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INSEAD Lunchtime Talks - How Lazada uses Data

Eugene Yan

And my idiosyncratic journey to VP of Data Science at Lazada (Alibaba). A Lunchtime chat at INSEAD.

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Big Data & Analytics Summit - Data Science Challenges @ Lazada

Eugene Yan

Technical challenges easy compared to business and people issues. Sharing at the BDA Summit.

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GovTech Conference - Data Science and Agile—Can or Not?

Eugene Yan

Yes, Agile can be adopted by data science teams. Moderating a panel at GovTech STACK.