Domino Data Lab

SEPTEMBER 9, 2019

For example, with those open source licenses we can download their text, parse, then compare similarity metrics among them: In [12]: pairs = [?. ["mit", "asl"],?. ["asl", "bsd"],?. ["bsd", "mit"] ?]? ?for Since 2015, spaCy has consistently focused on being an open source project (i.e.,

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

AWS Big Data

FEBRUARY 1, 2023

AWS Glue Data Catalog The Data Catalog helped us maintain the catalog as an index to the data’s location, schema, and runtime metrics in Amazon S3. Athena for SQL queries Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Vipul Verma is a Sr.Software Engineer at Amazon.com.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning. Recently, we presented some basic insights from our effort to measure and predict long-term effects at KDD 2015 [1]. For more details see [1] Section 4.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

Occam's Razor

JULY 22, 2013

My solution to these problems was to create a simple framework we can use to put our customers first, evaluate our marketing programs, and right-align our view of success (metrics). What about grabbing the incredible mobile opportunity by the throat and truly delivering for utility marketing and executing for mobile 2015 ?

Measurement 163

Measurement Marketing Key Performance Indicator Metrics 163

DataRobot Blog

DECEMBER 7, 2019

We compiled our predictions and analysis in the interactive graphic below, showing every player in this free agent class who had a sufficient track record of data to predict: Predicting Contract Terms. However, we also believe we can use AI to predict these good and bad contract risks, and have done so in this analysis as well.

Machine Learning 52

Machine Learning Forecasting Metrics Modeling 52

Rita Sallam

NOVEMBER 11, 2016

Users will also be able to define and monitor metrics and alerts to changes based on defined or dynamic thresholds. Tableau will complement its core visual exploration approach with Natural Language Processing –based search giving users new ways to interact with data. Next Gen BI&A.

Visualization 49

Visualization Metrics Machine Learning Enterprise 49

Insight

NOVEMBER 5, 2019

Can we ever hope to appreciate the interactions between hundreds or thousands of factors that shape outcomes for a single patient? Collected over two years (2014 and 2015) from ICUs across the US, it contains an enormous amount of data about more than 200,000 patient-stays in the ICU. What if their interplay is not merely additive?

Deep Learning 61

Deep Learning Modeling Insurance Metrics 61

datapine

SEPTEMBER 4, 2023

Table of Contents 1) The Benefits Of Data Visualization 2) Our Top 27 Best Data Visualizations 3) Interactive Data Visualization: What’s In It For Me? Whether static or interactive dashboards , these creative data visualization examples will serve as an inspiration for any data enthusiast. No, data is the new soil.”

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

Occam's Razor

JULY 13, 2017

4: Interactivity With Insightful End-Points. Oh, or your main traffic sources and the visitor acquisition metrics? Strategy 4: Interactivity With Insightful End-Points. Interactive visualization are great, only when packaged with insights for actions at logical end-points in exploration. 2: If Complex, Focus! Tweet that.

Visualization 124

Visualization Strategy Interactive Statistics 124

CIO Business Intelligence

AUGUST 12, 2022

in 2013, Alfa Aesar in 2015, Affymetrix and FEI Co. With more than 10 million transactions and interactions per year across order entry, sales, and customer service, the company found those processes could not scale to meet the demand and deliver the experience its customers needed. in 2016, and BD Advanced Bioprocessing in 2018.

IT 106

IT Data Lake Sales Interactive 106

Domino Data Lab

FEBRUARY 4, 2019

After about 2015, the firm followed the herd by introducing yet more sophisticated machine learning techniques; however, since the data science team was already swamped with reporting requirements, they introduced a new team of machine learning engineers. Friction ensued. Or something. I took this tangent for two reasons.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

CIO Business Intelligence

MAY 17, 2022

Around 2015, Capital One went to AWS re:Invent and set forth our aspirational goal to modernize our entire technology infrastructure. Whether you log into the website, the mobile device, or interact with an agent, the customer system is queried to determine your relationship with the bank and how you want to interact with us.

ROI 52

ROI Risk Marketing Modeling 52

Jet Global

MAY 27, 2021

Chrome: September 2015. Speak to the users themselves to understand how the reports are used, how they subsequently interact with the data, and which reports are critical. Hubble delivers significant benefits to the team, helping us understand key spend metrics.”. Oracle 11g extended support ended December 2020. Cairn Energy.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52

Cloudera

JUNE 16, 2022

In 2015, Cloudera became one of the first vendors to provide enterprise support for Apache Kafka, which marked the genesis of the Cloudera Stream Processing (CSP) offering. The DevOps/app dev team wants to know how data flows between such entities and understand the key performance metrics (KPMs) of these entities.

Data Lake 84

Data Lake Manufacturing Metadata Dashboards 84