AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. You just specify your desired price-performance targets to either optimize for cost or optimize for performance or balanced and serverless does the rest.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

AWS Big Data

MARCH 13, 2024

With optimized configuration, it aims for high recall for the queries. Ray cluster for ingestion and creating vector embeddings In our testing, we found that the GPUs make the biggest impact to performance when creating the embeddings. He entered the big data space in 2013 and continues to explore that area.

Data Processing 114

Data Processing Dashboards Machine Learning Management 114

Insight

MAY 20, 2020

Once you’ve successfully installed Spark on to your cluster, be sure to check out the open-source “Quick Start” guide for a basic walk through of the interactive Spark shell (spark-shell)— which is a great way to learn about Spark commands and test some of its functionality interactively.

Data Warehouse 106

Data Warehouse Optimization Interactive Cost-Benefit 106

Domino Data Lab

APRIL 21, 2021

The dataset contains transactions made by European credit card holders in September 2013, and has been anonymized – Features V1, V2, …, V28 are results from applying PCA on the raw data. This is to prevent any information leakage into our test set. 2f%% of the test set." 2f%% of the test set."

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Occam's Razor

DECEMBER 9, 2013

Progress in digital marketing and analytics in either scenario becomes painful (the organization / systems / thinking is simply not in the optimal position). One that reflects the customer expectations of 2013. During this stage you should also invest a lot in Search Engine Optimization. Business results suffer. Beat Motrin.

Marketing 165

Marketing Analytics Key Performance Indicator Optimization 165

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. So what do you have? Almost no pimping.

Marketing 147

Marketing Advertising Strategy Optimization 147

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

One way to check $f_theta$ is to gather test data and check whether the model fits the relationship between training and test data. This tests the model’s ability to distinguish what is common for each item between the two data sets (the underlying $theta$) and what is different (the draw from $f_theta$).

KDD 40

KDD Testing Machine Learning Modeling 40

Occam's Razor

FEBRUARY 3, 2014

According to Nielsen, YouTube reaches more US adults ages 18-34 than any cable network as of mid-2013. As of March 2013, one billion, (B!), One more thing to ponder… One hundred hours of video is uploaded into YouTube every single minute, as of May 2013. YouTube Marketing and Analytics Framework for Success.

Marketing 149

Marketing Analytics Advertising Measurement 149

Occam's Razor

JANUARY 28, 2013

But there is more to the Security Choice landing page than just passing the all-important transparency test. There are 11 other things you should consider for your landing page optimization strategy: 1. and eminently affordable ones like Optimizely and Visual Website Optimizer to run experiments that will prove I'm right.

Marketing 164

Marketing Insurance Visualization IT 164

Domino Data Lab

AUGUST 22, 2019

Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. This test set is available at download.tensorflow.org/data/questions-words.txt.]. Relative to extrinsic evaluations, intrinsic tests are quick. Note that the final test word in Table 11.2—ma’am—is

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

JULY 9, 2019

A “data scientist” might build a multistage processing pipeline in Python, design a hypothesis test, perform a regression analysis over data samples with R, design and implement an algorithm in Hadoop, or communicate the results of our analyses to other members of the organization in a clear and concise fashion.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Occam's Razor

APRIL 29, 2013

A benchmark for you: In 2013 if 30% of your time, Ms./Mr. By lowering your bounce rate all you managed to accomplish is get your ads created and targeted properly and optimize the landing pages. It incentivises sub optimal behavior in your employees/agencies. In the latter group I discovered that there were two common themes.

Marketing 166

Marketing Metrics Advertising Measurement 166

Jet Global

MAY 1, 2023

Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. Strategic Objective Provide an optimal user experience regardless of where and how users prefer to access information. To provide the optimal UX, consumer and business apps need to ramp up their analytics.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52