Dataconomy

JUNE 27, 2018

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.

Analytics 182

Analytics Analytics Data Science Big Data 182

Eugene Yan

JUNE 20, 2018

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

Big Data Analytics 100

Big Data Analytics Big Data Analytics Big Data Big Data 100

Depends on the Definition

JUNE 30, 2018

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.

52

52

ML Review

JUNE 13, 2018

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.

AI 52

AI AI Natural Language Processing Artificial Intelligence 52

Advertisement

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

AI

DataRobot Blog

JUNE 30, 2018

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.

Analytics 40

Analytics Analytics Big Data Big Data 40

Explosion

JUNE 14, 2018

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

Analytics 52

Analytics Analytics 52

Christian Haschek

JUNE 17, 2018

The thing about the internet is, if you give people an open platform, the scum will follow.

Deep Learning 52

Deep Learning Deep Learning 52

Depends on the Definition

JUNE 1, 2018

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.

52

52

ML Review

JUNE 4, 2018

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

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

DataRobot Blog

JUNE 25, 2018

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.

Analytics 40

Analytics Analytics 40

Advertisement

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Dataconomy

JUNE 14, 2018

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.

Big Data 168

Big Data Big Data 168

Dataconomy

JUNE 25, 2018

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.

Analytics 151

Analytics Analytics Database Big Data 151

Dataconomy

JUNE 14, 2018

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.

Big Data 149

Big Data Big Data Analytics Analytics 149

Dataconomy

JUNE 28, 2018

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.

Artificial Intelligence 142

Artificial Intelligence Artificial Intelligence Big Data Big Data 142

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Dataconomy

JUNE 20, 2018

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)?

Analytics 136

Analytics Analytics 136

Dataconomy

JUNE 28, 2018

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.

Big Data 135

Big Data Big Data Analytics Analytics 135

DataRobot Blog

JUNE 25, 2018

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.

Analytics 40

Analytics Analytics Big Data Analytics Big Data Analytics 40

DataRobot Blog

JUNE 19, 2018

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.

Analytics 40

Analytics Analytics 40

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

DataRobot Blog

JUNE 11, 2018

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.

Data Science 40

Data Science Predictive Analytics Analytics Analytics 40

Depends on the Definition

JUNE 1, 2018

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.

Algorithm 40

Algorithm 40