AWS Big Data

JULY 25, 2023

As their workload evolved, Alcion engineers tracked OpenSearch domain utilization via the provided Amazon CloudWatch metrics, making changes to increase storage and optimize their compute resources. This allowed Alcion to focus on optimizing the tenancy model for the new search architecture.

Cost-Benefit 96

Cost-Benefit Modeling Management Optimization 96

Smart Data Collective

MAY 31, 2023

Most savvy marketers recognize the importance of using analytics technology to optimize their strategies to get a higher ROI. Instagram uses big data to identify and block offensive content, create personalized feeds for their users and optimize their advertising platform. however, data is available for months afterwards.

Marketing 104

Marketing Data Analytics Analytics Interactive 104

Domino Data Lab

AUGUST 22, 2019

You can home in on an optimal value by specifying, say, 32 dimensions and varying this value by powers of 2. If we were using CBOW, then a window size of 5 (for a total of 10 context words) could be near the optimal value. The contemporary leading alternative to both word2vec and GloVe is fastText. Joulin, A., arXiv: 1607.01759.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Insight

JUNE 10, 2019

In 2016, Uber published its Uber Elevate White Paper , setting its aspirations on providing on-demand air taxis from San Francisco to San Jose for about $130. Alexander | June 1, 2016 Training a c onvolution neural network (CNN) to spot helipads The solution I developed rests on retraining a CNN to recognize helipads in aerial images.

Breakeven 69

Breakeven Modeling Testing Marketing 69

Smarten

JANUARY 17, 2019

For example, a business user might create the following search using natural language: ‘how did John Smith’s product sales in 2017 compare to his product sales in 2016?’. Original Post: Why is Natural Language Processing Important to Enterprise Analytics?

Enterprise 40

Enterprise Analytics Forecasting Sales 40

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

The first is that they are straightforward to optimize using traditional gradient-based optimizers as long as we pre-specify the placement of the knots. There is a robust set of tools for working with these kinds of constrained optimization problems. PLFs have two useful properties that we take advantage of. Pfeifer, J.,

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

Smarten

SEPTEMBER 9, 2024

In fact, the world-renowned technology research firm, Gartner, first introduced the concept in 2016. To this foundation, your business will add the citizen data scientist role, and enable the team member to use analytics to add value to their output and recommendations and to make decisions that are based on objective metrics and analytics.

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 52

Sisense

JULY 10, 2019

The Sisense ElastiCube crunches hundreds of millions of records and needs to be highly optimized. Takeaway: C & C++ are good to use when building highly optimized processes that are close to the OS, such as building a database engine. It has to be close to the OS for better control of what is being done with less overhead.

IT 69

IT Testing Technology Sales 69

DataRobot Blog

MARCH 10, 2022

The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016. and recommend the best optimization metric to use. DataRobot and Snowflake Jointly Unleash Human and Machine Intelligence Across the Industrial Enterprise Landscape.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Andrew White

JANUARY 9, 2022

– We did some early work a few years ago that look at the career path of a CDO – see from 2016 Build Your Career Path to the Chief Data Officer Role. This is the same for scope, outcomes/metrics, practices, organization/roles, and technology. 2016) though I have followed the topic in retail and CPG for years.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Occam's Razor

MAY 2, 2017

There is no golden metric for everyone, we are all unique snowflakes! :). and tell you what are the best key performance indicators (metrics) for them. In the past I’ve shared a cluster of metrics that small, medium and large businesses can use as a springboard…. If you want to play along. Don’t read what I’ve chosen.

Metrics 143

Metrics Key Performance Indicator B2B Measurement 143

O'Reilly on Data

APRIL 23, 2024

Instead of continuing to deploy their attention optimization algorithms for their users’ and suppliers’ benefit, the tech giants began to use them to favor themselves. The most-clicked sponsored products were 17% more expensive and 33% lower ranked according to Amazon’s own quality, price, and popularity optimizing algorithms.

Advertising 338

Advertising Cost-Benefit Marketing Risk 338

Occam's Razor

APRIL 21, 2014

Identify where your company is currently, what the next optimal step is in the ladder and give it all your attention in terms of data analysis or analytics code fixes. I believe these two posts with a collection of some of my favorite metrics will inspire you: 1. Best Metrics For Digital Marketing: Rock Your Own And Rent Strategies 2.

Marketing Analytics 132

Marketing Analytics Marketing Analytics Metrics 132

Domino Data Lab

AUGUST 1, 2021

2016) for an example of this technique (LIME). Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. Toy example to present intuition for LIME from Ribeiro (2016). 1135–1144, ACM, 2016. See Ribeiro et al. Guestrin, C.,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

JULY 1, 2021

This combination of CRF and BiLSTM is often referred to as a BiLSTM-CRF model (Lample et al 2016), and its architecture is shown in Figure 2. from keras import optimizers from keras.models import Model from keras.models import Input from keras_contrib.layers import CRF from keras_contrib import losses from keras_contrib import metrics.

Modeling 111

Modeling Statistics Testing Metrics 111

Smarten

MARCH 20, 2025

In 2016, the technology research firm, Gartner, coined the term Citizen Data Scientist, and defined it as a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics. Find Out the How of the Citizen Data Scientist Approach!

Prescriptive Analytics 64

Prescriptive Analytics Advertising Data-driven Statistics 64

Jet Global

FEBRUARY 7, 2025

Introduced by the International Accounting Standards Board (IASB) in January 2016, IFRS 16 is a financial reporting standard that establishes clear guidelines for lease accounting. Additionally, businesses should integrate automation tools that facilitate accurate calculations of discount rates, depreciation, and other key financial metrics.

Finance 40

Finance Reporting Cost-Benefit Management 40

O'Reilly on Data

MAY 11, 2020

It predates recommendation engines, social media, engagement metrics, and the recent explosion of AI, but not by much. The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics. YOUTUBE, CONSPIRACY, AND OPTIMIZATION. If that’s not engagement, what is?

Modeling 300

Modeling Advertising Recreation/Entertainment Metrics 300

Occam's Razor

JULY 13, 2017

Oh, or your main traffic sources and the visitor acquisition metrics? This is the simple view that greets you, outbreaks from 1890 to 2016 with vaccine development during that same time…. You have many examples in this post as to how you can avoid making yourself look like sub-optimal Reporting Squirrel.

Visualization 125

Visualization Strategy Interactive Statistics 125