Analytics Vidhya
APRIL 22, 2020
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.
Dataconomy
APRIL 1, 2020
The promise of artificial intelligence (AI) is finally being realized across a wide variety of industries. AI is now viewed as a crucial technology to adopt for enterprises to thrive in today’s business environment. Healthcare, in particular, has been one of the industries that AI advocates expect to be revolutionized. The post Key Challenges That Healthcare AI Needs to Overcome in 2020 appeared first on Dataconomy.
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Smart Data Collective
APRIL 10, 2020
90% of all data in the world has been generated in the last two years. With that in mind, it’s not surprising that a lot of companies are struggling with structuring and making sense of the data that they have, which causes various organizational issues, as well as limits the potential growth. That’s why big data companies that can help use that data are in such high demand.
Eugene Yan
APRIL 25, 2020
What I learned about measuring diversity, novelty, surprise, and serendipity from 10+ papers.
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.
Machine Learning (Theory)
APRIL 18, 2020
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.
DataRobot
APRIL 10, 2020
The world is going through extremely turbulent times. With the ongoing disruption of our lives, communities, and businesses from the COVID-19 pandemic, predictions from existing machine learning models trained prior to the pandemic become less reliable. There is plenty of historical data, but historical examples from before the pandemic may not provide the relevant examples needed to train a model that is useful today.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
APRIL 16, 2020
Editor’s Note: The article was originally published by Wendell Santos, the editor at ProgrammableWeb.com. Check back there as the article will continue to be updated as new APIs related to COVID-19 are made available. Over the past two months, as COVID-19 has proliferated, ProgrammableWeb has been tracking APIs that provide access to data related.
Smart Data Collective
APRIL 8, 2020
sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates. In fact, studies by the Gigabit Magazine depict that the amount of data generated in 2020 will be over 25 times greater than it was 10 years ago.
Data Science 101
APRIL 6, 2020
Brandon Rohrer is an expert in neural networks and deep learning. Plus, he makes really excellent videos about the topic. His entire YouTube Channel is worth viewing. How Deep Neural Networks Work by Brandon Rohrer. The post Brandon Rohrer – How Deep Neural Networks Work appeared first on Data Science 101.
Hacker News
APRIL 26, 2020
In the fall of 1999 I got the biggest productivity boost of my entire career as a software developer. In the October issue of IEEE Computer magazine, there was an article by Kent Beck called “Embracing change with extreme programming” In it, he outlined Extreme Programming (XP), which includes much of what we now refer to as agile development.
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.
DataRobot
APRIL 20, 2020
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.
Analytics Vidhya
APRIL 16, 2020
Confusion Matrix – Not So Confusing! Have you been in a situation where you expected your machine learning model to perform really well but. The post Everything you Should Know about Confusion Matrix for Machine Learning appeared first on Analytics Vidhya.
Dataconomy
APRIL 17, 2020
Hacking Health Berlin, Charité University Hospital Berlin, the Berlin Institute of Health, Data Natives and Vision Health Pioneers brought together 164 participants, and 20 hacking teams that produced 14 community-sourced tech solutions to meet the COVID-19-related needs of Germany’s leading clinicians and researchers. Let’s take a look at the results.
Smart Data Collective
APRIL 10, 2020
Artificial Intelligence (AI) is changing the way that eCommerce companies do business. AI is being implemented in systems across the eCommerce sector. From generating leads to gathering information, AI has improved multiple facets of the industry. Algorithmic bots have revolutionized customer facing services. Automated systems are the driving force behind improvements in back-end eCommerce software. eCommerce AI is a data-driven trend that allows companies to manage and analyze consumer informat
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
Alation
APRIL 23, 2020
The post Supporting Remote Workers with a Data Catalog in the WFH Era appeared first on Alation.
Eugene Yan
APRIL 17, 2020
Why you should give a talk and some tips from five years of speaking and hosting meet-ups.
DataRobot
APRIL 2, 2020
Visual AI is New in DataRobot 6.0. In Release 6.0 of DataRobot , we are thrilled to announce a ground-breaking new capability in our Automated Machine Learning product. DataRobot Visual AI gives you the ability to easily incorporate image data into your machine learning models alongside tabular and text-based data types. This enables your organization to get value from computer vision, right away – all with the same DataRobot usability, workflow, visuals, and other UI features you know and love.
Analytics Vidhya
APRIL 8, 2020
Introduction Google Colab is an amazing gift to the data science community from the fine folks at Google. Colab gives us the ability to. The post 5 Amazing Google Colab Hacks You Should Try Today! appeared first on Analytics Vidhya.
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.
Dataconomy
APRIL 14, 2020
There is no excerpt because this is a protected post. The post Protected: How community-sourced tech targets coronavirus in Greece appeared first on Dataconomy.
Smart Data Collective
APRIL 13, 2020
Big data is crucial for any organization that wants to attract and retain customers. A study by McKinsey Global Institute found that data-driven companies are 400% more likely to retain customers and 2,200% more likely to acquire new ones. Back in 2011, my colleagues and I first started discussing the evolving standards of customer service in business.
Kaggle
APRIL 20, 2020
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.
Eugene Yan
APRIL 11, 2020
Should I join a start-up? Which offer should I accept? A simple metaphor to guide your decisions.
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?
DeepMind
APRIL 20, 2020
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.
Analytics Vidhya
APRIL 7, 2020
Introduction “ Give me six hours to chop down a tree and I will spend the first four sharpening the axe.” – Abraham Lincoln. The post 10 Powerful and Time-Saving Data Exploration Hacks, Tips and Tricks! appeared first on Analytics Vidhya.
Dataconomy
APRIL 2, 2020
Five experts went live with educational sessions at our community site DN Club and told us about technology in times of coronavirus. Where are we heading in the crisis and how can the tech community contribute to finding solutions? Even though we are moving towards difficult times, there might be. The post How Coronavirus can make open-source movements flourish and fix our healthcare systems appeared first on Dataconomy.
Smart Data Collective
APRIL 10, 2020
Machine learning is leading to numerous changes in the energy industry. The Department of Energy recently announced that it is taking steps to accelerate the integration of machine learning technology in energy research and development. The head of the Department of Energy announced that they will be investing $30 million in artificial intelligence and machine learning algorithms.
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DataRobot
APRIL 3, 2020
At DataRobot, we meticulously test all the models we build on thousands of real-world datasets to ensure they meet our customers high expectations across performance, generalization, and reliability. There’s no denying that tree-based methods — especially boosting models — have dominated our leaderboards when it comes to traditional data types in rows and columns, aka tabular data.
Eugene Yan
APRIL 4, 2020
Using a Zettelkasten helps you make connections between notes, improving learning and memory.
Kaggle
APRIL 20, 2020
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.
Analytics Vidhya
APRIL 5, 2020
Introduction “What’s the difference between supervised learning and unsupervised learning?” This is an all too common question among beginners and newcomers in machine learning. The post Supervised Learning vs. Unsupervised Learning – A Quick Guide for Beginners appeared first on Analytics Vidhya.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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