Domino Data Lab

JUNE 8, 2021

Selecting the optimal decision boundary, however, is not a straightforward process. The distance from an arbitrary data point (boldsymbol{x}_i) to the optimal hyperplane in our case is given by. We now turn our attention to the problem of finding the optimal hyperplane. Derivation of a Linear SVM.

Optimization 76

Optimization Machine Learning Measurement Data Science 76

Smart Data Collective

SEPTEMBER 13, 2022

It was launched as a paid service and went on to add a freemium option in 2009, growing its user base from 85,000 to 450,000 a year. MailChimp- MailChimp is a marketing automation platform and email marketing service based in the United States.

Cost-Benefit 99

Cost-Benefit Data Processing Software Data-driven 99

CDW Research Hub

SEPTEMBER 9, 2019

As one of the industry’s largest providers of complete business and infrastructure solutions, Sirius designs, implements, and helps clients optimize and operate the world’s leading technologies. Established in 2009 and headquartered in Boston, Massachusetts, Aceso advances digital healthcare for some of the nation’s leading hospital networks.

Interactive 40

Interactive Strategy Optimization Technology 40

BizAcuity

APRIL 25, 2022

From 2009 to 2019, in a span of 10 years, the United States tripled its gross gaming revenue from $34.3 To fully utilize the benefit, high-end algorithms are deployed on digital assets and then data analysis is done to produce optimized marketing campaigns. Floor Optimization. billion to almost $100 billion.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

Occam's Razor

MAY 14, 2012

eBay's green line is very close the performance of the category (and you'll see that often at peaks in the shopping category queries, eBay actually does worse starting holiday season 2009). They are full of specific insights you can use to optimize your online search campaigns. Amazon is an interesting example. Five Caveats!

Measurement 128

Measurement Analytics Advertising Marketing 128

Hurwitz & Associates

SEPTEMBER 21, 2018

Customers have been tapping public clouds for some time – since business use of cloud computing emerged in 2008-2009 – and they are now migrating more enterprise workloads to private clouds and public clouds. Project Magna is a VMware technology preview that leverages AI/ML to self-optimize virtual infrastructure.

Software 40

Software IT Strategy IoT 40

O'Reilly on Data

JUNE 15, 2023

Oxford philosopher Nick Bostrom, author of the book Superintelligence , once posited as a thought experiment an AI-managed factory given the command to optimize the production of paperclips. We need research on how best to train AI models to satisfy multiple, sometimes conflicting goals rather than optimizing for a single goal.

Risk 244

Risk Optimization Modeling Reporting 244

AWS Big Data

JUNE 22, 2023

If you simply run queries without considering the optimal data layout on Amazon S3, it results in a high volume of data scanned, long-running queries, and increased cost. Partitioning is a common technique to lay out your data optimally for distributed analytics engines. Another option is using AWS Glue APIs.

Metadata 77

Metadata Management Recreation/Entertainment Optimization 77

bridgei2i

MAY 26, 2020

You know the markets shake and the accompanying Swine Flu epidemic of 2015 and 2016, the Japanese tsunami and the Thailand floods in 2011 that shook up the high-tech value chain quite a bit, the great financial crisis and the accompanying H1N1 outbreak in 2008-2009, MERS and SARS before that in 2003.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. You're choosing only one metric because you want to optimize it. By late 2009, that experiment was a success, too; they'd climbed back up to 4.5 But it is not routine. That metric is tied to a KPI.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

bridgei2i

APRIL 16, 2021

He has over a decade of experience in the field of AI, which he started with his paper on machine learning in 2009. Having digital transformation, optimized workflows, and AI solutions in place allow for rapid adoption of these emerging trends. In fact, I’ve started my professional career under his mentorship.

Deep Learning 98

Deep Learning Machine Learning Digital Transformation Software 98

CIO Business Intelligence

OCTOBER 3, 2023

Clean air, inside and out Founded in 2009, ActoVent was initially a specialist wholesaler for residential ventilation, but expanded to include air filters and protective products for a range of buildings, air measurement technology, and maintenance and consulting services.

Digital Transformation 105

Digital Transformation Consulting Data-driven Machine Learning 105

Occam's Razor

SEPTEMBER 29, 2009

Ideally you'll measure the number prior to your branding campaign, say Feb 2009, and then you'll measure it again during your campaign, March 2009. You can accomplish these goals: ~ Get an optimal understanding of what kind of people you ended up attracting to your website (look at primary purpose & distribution).

Measurement 128

Measurement Metrics Analytics Marketing 128

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?

Marketing 147

Marketing Advertising Strategy Optimization 147

Occam's Razor

JANUARY 20, 2010

We will cover measuring success of SEO efforts on one web page, how to do search engine optimization for b2b websites, how to rank for highly saturated industries / categories / keywords, and which competitive intelligence tools do I use for search program optimization (and targeting display ads using search data!).

Metrics 90

Metrics B2B Analytics Measurement 90

John Wheeler

NOVEMBER 25, 2020

Unlike the 2008-2009 Great Recession that was financially-centered in its origin and resolution, the COVID-19 crisis is operationally-centered. It will remain as a new way of conducting business in a cost-optimized, more efficient environment. The current crisis is operationally-centered. This shift will not fade as we recover.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

John Wheeler

MARCH 30, 2020

Unlike the 2008-2009 Great Recession that was financially-centered in its origin and resolution, the COVID-19 crisis in operationally-centered. It will remain as a new way of conducting business in a cost-optimized, more efficient environment. The current crisis is operationally-centered. This shift will not fade as we recover.

Marketing 59

Marketing Risk Management Risk Digital Transformation 59

Smart Data Collective

MAY 7, 2023

Since Bitcoin’s was first launched back in 2009, blockchain uses have exploded via the creation of various cryptocurrencies, decentralized finance applications, NFTs, and smart contracts. This unique book of records is accessible and understandable for each user, ensuring an optimal data exchange process.

Cost-Benefit 87

Cost-Benefit Risk Technology Marketing 87

Domino Data Lab

APRIL 21, 2021

First, we define a function that will perform a grid search for the optimal hyperparameters of the classifier. Offsetting the threshold (threshold moving) is a standard technique for improving the predictions by finding an optimal interpretation of the probabilities produced by the classifier. Model training. 0.01, 0.001] }.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

The Unofficial Google Data Science Blog

JULY 11, 2017

If both variances are positive then the optimal estimator of $y_{t+1}$ winds up being "exponential smoothing," where past data are forgotten at an exponential rate determined by the ratio of the two variances. Also notice that while the state in this model is Markov (i.e. Bayesian Analysis 1 , 145–168. An R package for dynamic linear models.

Forecasting 64

Forecasting Statistics Modeling Software 64

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. and Gupta, M.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Domino Data Lab

MAY 8, 2019

Perhaps if machine learning were solely being used to optimize advertising or ecommerce, then Agile-ish notions could serve well enough. There’s an interesting narrative arc on the Google research blog between the 2009 paper “ The Unreasonable Effectiveness of Data ” and the 2017 update “Revisiting the Unreasonable Effectiveness of Data.”

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

AUGUST 9, 2016

This is all the way from Aug 2009: Web Analytics Career Advice: Play In The Real World! This report is sub-optimally constructed. Choose more optimal metrics, and in a few seconds you'll have a report that you like. The first one I want you to immerse yourself in when you are in the Store data is Search Engine Optimization.

Analytics 109

Analytics Metrics Reporting Strategy 109

Occam's Razor

FEBRUARY 22, 2010

The secret to making optimal use of CI data lies in one single realization: You must ensure you understand how the data you are analyzing is collected. It will probably be the category that will grow the most because frankly in context others look rather sub optimal. The Optimal Competitive Analysis Process. use to your benefit.

Metrics 123

Metrics Advertising Reporting Software 123

datapine

JANUARY 31, 2022

This benefit goes directly in hand with the fact that analytics provide businesses with technologies to spot trends and patterns that will lead to the optimization of resources and processes. This company was originally founded in 2009 as a black car-hailing service in San Francisco. Let’s see it with a real-world example.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Domino Data Lab

AUGUST 1, 2021

PDPs for the bicycle count prediction model (Molnar, 2009). Courville, Pascal Vincent, Visualizing Higher-Layer Features of a Deep Network, 2009. For example, we could judge how relevant certain input features are based on the magnitude of the gradients passing through the network during its training phase (Erhan et al., Ribeiro, M.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Occam's Razor

JULY 26, 2010

Maybe Google is really good at Volunteers and not optimal for attracting people who donate. Will take you off on a completely different line of inquiry, all from adding June 2009 to look at June 2010. Measure the above four micro conversions, in addition to the macro conversion of donation, helps give a complete view of success.

Metrics 96

Metrics Measurement Dashboards Reporting 96

Domino Data Lab

JULY 9, 2019

When he retired in 2009 he had some time on his hands. or are you looking for me to help you decide on what is the optimal treatment in order to get the outcome you want?” They want to know what’s the optimal treatment. ” And Mark said, “Yes, we’ve got a lot of data. Please help us make sense of it.”

Data Science 112

Data Science Machine Learning Advertising Modeling 112