AWS Big Data

FEBRUARY 21, 2024

To run inside the VPC, the jobs needs to be assigned to a single subnet, but the most suitable subnet can change over time (for instance, based on the usage and availability), so you may prefer to make that decision at runtime, based on your own strategy. Switch from Visual to JSON mode and enter the following JSON on the textbox.

Strategy 91

Strategy Management Visualization IT 91

Occam's Razor

SEPTEMBER 21, 2015

The Directors, the Marketers, the Optimization employees and our resident social media gurus. We are going to discuss a cluster of strategies you can use to ensure that you present your message with radical simplicity and with an incredible focus. Avoid complex visualizations – they get in the way! " (No, it was not.

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

Insight

JANUARY 14, 2020

CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). I was familiar with the strategy of using data augmentation techniques (such as flipping, shearing, zooming, etc.) Does anything look fishy to you…?

Metrics 58

Metrics Optimization Modeling Testing 58

AWS Big Data

MARCH 11, 2024

Establish connectivity between an Amazon QuickSight dashboard and Amazon Redshift to deliver visualization and insights. For optimized performance of the streaming materialized view and to reduce storage usage, occasionally purge data from the materialized view using delete , truncate , or alter table append.

Analytics 67

Analytics Data Warehouse Optimization Metrics 67

Cloudera

NOVEMBER 17, 2021

There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012. Some companies are starting to segregate the responsibilities of the unicorn data scientist into multiple roles (data engineer, ML engineer, ML architect, visualization developer, etc.),

Machine Learning 121

Machine Learning Visualization Data Science Metrics 121

Smart Data Collective

APRIL 20, 2023

One of the many reasons that they are using big data is to create better content marketing strategies. A content marketing strategy can help businesses establish brand awareness, increase conversions, and connect with their target audience. Why Is Data Important in Content Marketing?

Marketing 79

Marketing Strategy Big Data ROI 79

Occam's Razor

DECEMBER 3, 2012

We like to believe that all there is to digital marketing is to do some search engine optimization, send out an email blast every once in a while, get our agency to create a flash-heavy "brand experience" website, or slap together a mobile app in the corporate-approved shade of eggshell white. Is Your Digital Strategy Magnificent?

Marketing 147

Marketing Advertising Strategy Optimization 147

Insight

DECEMBER 18, 2019

In my last post , we went back to the year 1943, tracking neural network research from the McCulloch & Pitts paper , “ A Logical Calculus of Ideas Immanent in Nervous Activity ” to 2012, when “ AlexNet ” became the first CNN architecture to win the ILSVRC. A visualization of gradient descent. Each variant is called an “optimizer.”

Optimization 85

Optimization Machine Learning Testing Visualization 85

Sisense

DECEMBER 11, 2019

An exciting slate of presentations took them on a journey from why to how they should use data analytics to optimize their operations successfully and maximize their business opportunities. Ziv Ben Naim, Client Services Analytics & Strategy Lead, AppsFlyer Maayan Dukas Kfir, Data Analyst, AppsFlyer. The impact on customers.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Domino Data Lab

MARCH 3, 2019

While image data has been the stalwart for deep learning use cases since the proverbial “ AlexNet moment ” in 2011-2012, and a renaissance in NLP over the past 2-3 years has accelerated emphasis on text use cases, we note that structured data is at the top of the list in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

The Unofficial Google Data Science Blog

MARCH 31, 2016

Thompson sampling is an "explore/exploit" algorithm which was designed for Bayesian models, and its strategy is to randomly select a choice (called an "arm") with probability proportional to the posterior of that choice being the best option. Often our data can be stored or visualized as a table like the one shown below.

Modeling 40

Modeling Statistics Advertising Testing 40

Cloudera

DECEMBER 12, 2018

I decided to jump ship in May of 2012 joining Cloudera. Which visual analytics tools do you see dominating the big data analytics space? There are quite a number of new implementations that I’ve seen that use Arcadia Data and I think they offer more of the data lake experience in terms of data browsing and data visualizations.

Data Warehouse 41

Data Warehouse Marketing Big Data Data Lake 41

CIO Business Intelligence

FEBRUARY 3, 2023

Much of the work is accomplished by dragging and dropping components in a visual designer, but developers can also adjust the system-generated code in an IDE. The company also has systems optimized for industries such as supply chain management ( TradeEdge ) or banking. AI tools provide optical character recognition for documents.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145