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Data science has gone through a rapid evolution, fueled by powerful open source software and more affordable and faster data storage solutions. Universities have adapted to the increasing demand as well and are graduating analytically trained students at an unprecedented pace. This evolution opens new and innovative pathways for many. The post Four Data Analytics Pitfalls and How to Avoid Them appeared first on Dataconomy.
This is the sixth post in my series about named entity recognition. This time I’m going to show you some cutting edge stuff. We will use a residual LSTM network together with ELMo embeddings, developed at Allen NLP. You will learn how to wrap a tensorflow hub pre-trained model to work with keras. The resulting model with give you state-of-the-art performance on the named entity recognition task.
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.
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.
by Jen Underwood. Both data-driven organizations and analytics software vendors today face a wide spectrum of complex challenges navigating an entirely new world of cloud app data sources. From security to agility, scale, Read More.
Do you get excited every time you have to crunch numbers? Do you love knowing how many times people use their smartphones every day? Are you fascinated by how businesses use data to make decisions? If you do, then you might be ideally suited for a career where you could. The post Five Careers to Consider for Data Enthusiasts appeared first on Dataconomy.
Do you get excited every time you have to crunch numbers? Do you love knowing how many times people use their smartphones every day? Are you fascinated by how businesses use data to make decisions? If you do, then you might be ideally suited for a career where you could. The post Five Careers to Consider for Data Enthusiasts appeared first on Dataconomy.
We describe a novel study of decision-making processes around misinformation on social media. Using a custom-built visual analytic system, we presented users with news content from social media accounts from a variety of news outlets, including outlets engaged in distributing misinformation. We conducted controlled experiments to study decision-making regarding the veracity of these news outlets and tested the role of confirmation bias (the tendency to ignore contradicting information) and uncer
Often in text classification, we use so called black-box classifiers. By black-box classifiers I mean a classification system where the internal workings are completely hidden from you. A famous example are deep neural nets, in text classification often recurrent or convolutional neural nets.
Today, we have the liberty to source an apartment space globally, with AirBnB, or to find a qualified person for manual labor via TaskRabbit. In spite of this accessibility, there are still gaping inefficiencies for users of these systems. It was blockchain that identified these flaws, and it will be. The post Blockchain Found a Shortcut to the Universal Sharing Economy appeared first on Dataconomy.
Over the last several years, the global database market has made significant strides toward leveraging real-time information. As telcos and other industries prepare for the transition to 5G, it’s apparent that real-time data analytics are key for organizations looking to capitalize on the promise of 5G. Although the current. The post The Rise of 5G: A Culture Shift in Data Analytics appeared first on Dataconomy.
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.
Companies have been well aware of the General Data Protection Regulation (GDPR) for more than two years, and though the May 25 deadline has passed, the GDPR is not put to sleep. The deadline has only drawn more attention to the GDPR, as noncompliant companies are starting to be hit with. The post How GDPR can affect your company brand appeared first on Dataconomy.
Artificial intelligence, machine learning, big data, financial technology, and various connected devices are evolving the data-tech game on a day-to-day basis. Data enthusiasts are integrating into local communities on a world-wide scale to discuss and keep up with the fast pace of data-driven technologies. Here are four tips on how. The post Four Tips To Plug Into the Data Community appeared first on Dataconomy.
The arrival of the first pillar of the Payments Services Directive, Part 2 (PSD2) in January this year laid the groundwork for a more open banking system. It is set to transform the financial services industry in the European Union (EU) by putting the customers in control of both their. The post Are banks ready for Payments Services Directive, Part 2 (PSD2)?
The network effect is a curious phenomenon that describes the group’s benefit that ensues as each new member joins and begins using the same product or service. It applies to several industries and ideas, and can be found in examples like eBay, the popular auction site. As more people join. The post How Blockchain Can Supercharge the Network Effect appeared first on Dataconomy.
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
Recent Intersections Between Computer Vision and Natural Language Processing (Part Two) This is the second instalment of our latest publication series looking at some of the intersections between Computer Vision (CV) and Natural Language Processing (NLP). Readers are encouraged to view the piece through our website for the best experience: [link] Part One: Visual Speech Recognition (Lip Reading) Part Two: Image Captioning (From Translation to Attention) Feedback and comments are welcomed, either
by Jen Underwood. In light of recent S-1 confessions and warnings about DOMO’s precarious situation, my condolences go out to DOMO’s customers, staff and investors. If DOMO does not pull off a successful IPO, Read More.
by Jen Underwood. As data continues to grow and exceed current BI and analytics system capabilities, more organizations are adopting big data analytics solutions. Please join me and Wendy Gradek from AtScale in a. Read More.
by Jen Underwood. Embedded analytics is everywhere. From consumer gadgets, intelligent things, and applications to the rapidly expanding Everything as a Service (XaaS) subscription economy, analytics has been ubiquitously embedded into all areas. Read More.
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.
by Jen Underwood. IBM Watson Studio has come a long way since I first tested IBM Data Science Experience in November 2016. The new Watson Studio delivers a more collaborative, enterprise quality data. Read More.
In this post, I’m going to show you how you can use a neural network from keras with the LIME algorithm implemented in the eli5 TextExplainer class. For this we will write a scikit-learn compatible wrapper for a keras bidirectional LSTM model. The wrapper will also handle the tokenization and the storage of the vocabulary.
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