Sat.Apr 18, 2020 - Fri.Apr 24, 2020

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7 Python Hacks, Tips and Tricks for Data Science Projects

Analytics Vidhya

Overview Python is a superb language for data science but not everyone is a Python expert Here, we present 7 Python hacks that’ll help. The post 7 Python Hacks, Tips and Tricks for Data Science Projects appeared first on Analytics Vidhya.

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Critical issues in digital contract tracing

Machine Learning (Theory)

I spent the last month becoming a connoisseur of digital contact tracing approaches since this seems like something where I might be able to help. Many other people have been thinking along similar lines (great), but I also see several misconceptions that even smart and deeply involved people are making. For the following a key distinction to understand is between proximity and location approaches.

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5 Ways Big Data Is Being Used To Understand COVID-19

Smart Data Collective

Big data can be a tool, a weapon or a currency. Now, amid the COVID-19 pandemic, big data has become a life-saving ally for the health care community. This moment in history is unlike any other — and the value of data in ending it resembles nothing we’ve yet seen. The following is just a sample of the many ways big data and machine learning are flattening the coronavirus curve, as well as study the disease, mount a sensible public response and reopen our communities, economies and countrie

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Qlik, Snowflake and DataRobot: A Real-Time Solution for Readmissions

DataRobot

NHS is among healthcare organizations looking to leverage predictive analytics to manage current and future capacity needs to best serve their entire patient population. Every Single Bed Matters, and Never More So than During a Pandemic. Healthcare organizations are focused on providing the best possible care while managing resources effectively during the best of times.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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A Comprehensive Guide to 21 Popular Deep Learning Interview Questions and Answers

Analytics Vidhya

Overview Looking to crack your next deep learning interview? You’ve come to the right place! We have put together a list of popular deep. The post A Comprehensive Guide to 21 Popular Deep Learning Interview Questions and Answers appeared first on Analytics Vidhya.

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Max Lin on finishing second in the R Challenge

Kaggle

I participated in the R package recommendation engine competition on Kaggle for two reasons. First, I use R a lot. I cannot learn statistics without R. This competition is my chance to give back to the community a R package recommendation engine. Second, during my day job as an engineer behind a machine learning service in the cloud, product recommendation is one of the most popular applications our early adopters want to use the web service for.

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Supporting Remote Workers with a Data Catalog in the WFH Era

Alation

The post Supporting Remote Workers with a Data Catalog in the WFH Era appeared first on Alation.

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5 Popular Python Libraries to Perform Web Scraping

Analytics Vidhya

Take the Power of Web Scraping in your Hands The phrase “we have enough data” does not exist in data science parlance. I have. The post 5 Popular Python Libraries to Perform Web Scraping appeared first on Analytics Vidhya.

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Specification gaming: the flip side of AI ingenuity

DeepMind

Specification gaming is a behaviour that satisfies the literal specification of an objective without achieving the intended outcome. We have all had experiences with specification gaming, even if not by this name. Readers may have heard the myth of King Midas and the golden touch, in which the king asks that anything he touches be turned to gold - but soon finds that even food and drink turn to metal in his hands.

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Cryptocurrency Scammers: How To Identify And Avoid Them

Smart Data Collective

The growth of blockchain and the cryptocurrency space is fascinating. Technical innovations and the rapidly evolving new trading paradigm continue to attract large crowds, but this also includes several scammers. Various cryptocurrencies have created millionaires over the years. They have established themselves as a profitable enterprise for all those who want to invest in the future.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Marcin Pionnier on finishing 5th in the RTA competition

Kaggle

I graduated on Warsaw University of Technology with master thesis about text mining topic (intelligent web crawling methods). I work for Polish IT consulting company (Sollers Consulting), where I develop and design various insurance industry related stuff, (one of them is insurance fraud detection platform). From time to time I try to compete in data mining contests (Netflix, competitions on Kaggle and tunedit.org) — from my perspective it is a very good way to get real data mining experience.

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Build your own Vehicle Detection Model using OpenCV and Python

Analytics Vidhya

Overview Excited by the idea of smart cities? You’ll love this tutorial on building your own vehicle detection system We’ll first understand how to. The post Build your own Vehicle Detection Model using OpenCV and Python appeared first on Analytics Vidhya.

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Leveraging Machine Learning to Thrive in the New Oil & Gas Reality - A Survival Guide

DataRobot

Current Situation: A Double Black Swan in Supply and Demand. Amidst the global economic turmoil caused by COVID-19, few industries have been hit as hard as the upstream oil and gas industry. Operators have been knocked off course by the double-black swan events of rapidly eroding demand and a glut of supply.

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Key Data Trends And Forecasts In The Energy Sector

Smart Data Collective

With the Coronavirus pandemic, the world has been thrown into complete uncertainty. This goes for nearly everyone, but the energy sector is being greatly impacted by the virus. The industry, from renewables to coal, is being harmed by social distancing and the current situation around quarantine. According to a new study called Global Big Data Analytics in the Energy Sector Market, provides a comprehensive look at the industry.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Top Marks for Student Kaggler in Bengali.AI | A Winner’s Interview with Linsho Kaku

Kaggle

Kaggler, deoxy takes first-place and sets the stage for his next competition. Please join us in congratulating Linsho Kaku (aka deoxy ) on his solo first-place win in our Bengali.AI Handwritten Grapheme Classification challenge ! Read the winning solution here: 1st Place Solution with Code Random Ink by Sankarshan Mukhopadhyay @Flickr Let’s meet Linsho!

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Machine Learning using C++: A Beginner’s Guide to Linear and Logistic Regression

Analytics Vidhya

Why C++ for Machine Learning? The applications of machine learning transcend boundaries and industries so why should we let tools and languages hold us. The post Machine Learning using C++: A Beginner’s Guide to Linear and Logistic Regression appeared first on Analytics Vidhya.

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New World. Old Model. Now What?

DataRobot

May You Live In Unprecedented Times. 2020’s word of the year is likely to be “ unprecedented ” — which, from a data science perspective, might make us rather nervous. Machine learning is, after all, the art and science of predicting outcomes of incoming events based on historical data. In a period without precedent, doesn’t this make our historical training data irrelevant?

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Understanding New Data-Driven Methodologies In Software Development

Smart Data Collective

Big data has turned the software industry on its head. The relationship between software development and big data is a two-way street. While many software developers are looking to create new applications that use big data, they are also using big data to streamline development. Almost every piece of hardware has software running in the back-end and almost every trivial task is handled by software nowadays.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Quan Sun on finishing in second place in Predict Grant Applications

Kaggle

I’m a PhD student of the Machine Learning Group in the University of Waikato, Hamilton, New Zealand. I’m also a part-time software developer for 11ants analytics. My PhD research focuses on meta-learning and the full model selection problem. In 2009 and 2010, I participated the UCSD/FICO data mining contests. What I tried and What ended up working I tried many different algorithms (mainly weka and matlab implementations) and feature sets in nearly 80 submissions.

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How to measure B2B growth with Twilio Segment and Dreamdata

Twilio Segment

Attributing marketing tactics to revenue is a major headache. But not when you use Segment and Dreamdata.

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The New Normal: Supporting Remote Workers with a Data Catalog

Alation

The post The New Normal: Supporting Remote Workers with a Data Catalog appeared first on Alation.

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3 Data-Driven Elements Of Conversion Rate Optimization Strategies

Smart Data Collective

Big data has played a very important role in conversion rate optimization. Smart marketers recognize that they need the latest big data tools to entice customers to make purchases. Audrey Throne, an author with Big Data Analytics News, has shared some details about the benefits of big data in conversion rate optimization. She stated that there are seven ways it will impact ecommerce models.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Yuanchen He on finishing third in the Melbourne University competition

Kaggle

I am Yuanchen He, a senior engineer in McAfee lab. I have been working on large data analysis and classification modeling for network security problems. Method Many thanks to Kaggle for setting up this competition. And congratulations to the winners! I enjoyed it and learned a lot from working on this challenging data and reading the winners’ posts.

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Why customer retention is the ultimate growth strategy

Twilio Segment

If you want to grow in a scalable and profitable way, look beyond customer acquisition.

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New Data Tools Offer Sales Boosting Opportunities For Remote Working

Smart Data Collective

Big data has created numerous new opportunities in the marketing profession. The benefits machine learning and big data are creating are becoming clearer than ever during this massive pandemic. The harsh reality of today’s COVID-19 pandemic is that it affects everyone. For some, it has led to the tragic loss of their beloved ones. This is one area where big data is becoming more helpful.

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Consolidate Your Software Spend Data For Better IT Budget Planning

Smart Data Collective

Cyber attacks are increasing in frequency and sophistication. Technology is developing at a breakneck pace. The world is becoming ever-more dependent on the assistance of digital tools and apps to complete business tasks. So it’s no surprise that IT budgets are hard to stick to , even as they continue to expand. For the last four years, a majority of CIOs have reported that their IT budgets rose compared to the year prior.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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3 Fantastic Data-Driven Invoicing Software Options For SMEs

Smart Data Collective

Big data is changing a number of variables for businesses. One of the biggest changes big data has created pertains to invoicing. The Enterprise Project recently talked about three big data case studies. One of these case studies centered around using big data to improve the state of invoicing. “Mathias Golombek, CTO at Exasol, points to invoice processing as a specific example that illuminates the broader possibilities of using AI to automatically extract structured data from unstructured (or n

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Jeremy Howard on winning the Predict Grant Applications Competition

Kaggle

Because I have recently started employment with Kaggle, I am not eligible to win any prizes. Which means the prize-winner for this comp is Quan Sun (team ‘student1’)! Congratulations! My approach to this competition was to first analyze the data in Excel pivottables. I looked for groups which had high or low application success rates. In this way, I found a large number of strong predictors — including by date (new years day is a strong predictor, as are applications processed on a Sunday), and