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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7 Key Benefits of Proper Data Lake Ingestion

Smart Data Collective

It’s impossible to deny the importance of data in several industries, but that data can get overwhelming if it isn’t properly managed. The problem is that managing and extracting valuable insights from all this data needs exceptional data collecting, which makes data ingestion vital. The following will highlight seven key benefits of proper ingestion. 1.

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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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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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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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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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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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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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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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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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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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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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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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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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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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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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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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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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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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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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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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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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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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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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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 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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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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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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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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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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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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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

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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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