Domino Data Lab

JUNE 8, 2021

Support Vector Machines (SVMs) are supervised learning models with a wide range of applications in text classification (Joachims, 1998), image recognition (Decoste and Schölkopf, 2002), image segmentation (Barghout, 2015), anomaly detection (Schölkopf et al., Selecting the optimal decision boundary, however, is not a straightforward process.

Optimization 76

Optimization Machine Learning Measurement Data Science 76

Jet Global

MAY 14, 2020

Stop-Gap Measures Are Not Enough. As an example, banks paid an excess of $42 billion in fees for non-compliance infractions in 2016, and one New York bank was ordered to pay fines of $185M for failing to comply with rules intended to protect client assets in 2015. Key Attributes of an Effective Regulatory Reporting Solution.

Finance 52

Finance Reporting KPI Cost-Benefit 52

Cloudera

NOVEMBER 15, 2021

For example, the number of hyperscale centres is reported to have doubled between 2015 and 2020. Source Integrity and Measurement Accuracy : ensuring that prior human decisions and judgments (e.g., The rate of data growth is reflected in the proliferation of storage centres. And data moves around. Zettabytes per year.

Unstructured Data 91

Unstructured Data Recreation/Entertainment Structured Data Reporting 91

datapine

JUNE 7, 2022

In the above example from the 2015 Congressional Hearing based on Planned Parenthood, we can see clear-cut results showing a rise in abortions and a drop in cancer-related health services. This visual is deceiving as it doesn’t contain any values within its axis’, merely showing a loose trend or pattern without any real context.

Visualization 267

Visualization Metrics Statistics Dashboards 267

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

IBM Big Data Hub

AUGUST 11, 2023

The term was originally coined in 2015 in a published research paper called, “Hidden Technical Debts in the Machine Learning System,” which highlighted common problems that arose when using machine learning for business applications. If the decision process didn’t get it right, the team will then assess how bad the miss was.

Data Science 58

Data Science Machine Learning Cost-Benefit Deep Learning 58

Smart Data Collective

AUGUST 21, 2019

A 2015 paper by the World Economic Forum showed that big data might just be a fad. Data Science Companies Focus on Optimal Data Utilization Rather than Just Emphasizing Data Scalability. They need to make sure that they adopt appropriate measures to make sure that their data strategy is a valuable contributor to their organization.

Data Science 69

Data Science Big Data Data Strategy Risk 69

Occam's Razor

JULY 22, 2013

Most of the frameworks we have also don't optimally capture the complexity of digital marketing and measurement. We (oh how I hate this) apply irrational and "narrow-view" measurement strategies toward understanding what is successful and what's not. Then there is Agile for engineering. Are they a lost cause?

Measurement 163

Measurement Marketing Key Performance Indicator Metrics 163

Occam's Razor

JANUARY 9, 2012

Most companies are astonishingly blasé about data and possibilities of measurement. " Sad, unimaginative measurements of their sad, unimaginative campaigns. All while constantly optimizing your portfolio via controlled experiments. I told 20 people that Nikon's site is slow and profoundly sub-optimal on mobile.

Marketing 140

Marketing B2B Measurement Risk 140

CIO Business Intelligence

AUGUST 28, 2023

Since the Paris Agreement was signed in 2015, businesses have been taking part to contribute in pursuing net zero and achieve emission reduction targets. Furthermore, measuring and monitoring ESG performance required consolidating data from various instruments and functions in diverse locations.

Digital Transformation 119

Digital Transformation Internet of Things Dashboards IoT 119

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve comparison of the exposed and unexposed groups would produce an overly optimistic measurement of the effect of the ad, since the exposed group has a higher baseline likelihood of purchasing a pickup truck. It should be noted that inverse probability weighting is not generally optimal (i.e., the curse of dimensionality).

Statistics 44

Statistics Optimization Modeling Experimentation 44

IBM Big Data Hub

FEBRUARY 2, 2024

They’re implementing measures to reduce energy usage and adopting renewable energy alternatives where possible to aid efforts against global warming. AI-powered systems are helping farmers optimize irrigation and reduce water consumption.

Optimization 95

Optimization Cost-Benefit Strategy Technology 95

Occam's Razor

JANUARY 31, 2017

It also forces a lot less think than might be optimal. Everything seems sub-optimal. The latter is especially important because it directly ties to what content the ads/marketing should contain, what the tone and texture should be of the landing page/app experience, and what we'll use to measure success (S, T, D, C metrics).

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

Occam's Razor

MARCH 25, 2014

I recently had an opportunity to recommend to a group of CEOs everything they should measure for everything they should do with digital. One good way to accomplish that is to ensure you have an optimal org design , and that your Digital Marketing and Measurement Model exemplifies this balance. Now measure like crazy!

Metrics 155

Metrics Marketing Strategy Key Performance Indicator 155

Smart Data Collective

MARCH 24, 2020

According to a 2015 whitepaper published in Science Direct , big data is one of the most disruptive technologies influencing the field of academia. At the stage of data collection, the development of regulatory measures to collect missing data from educational organizations to achieve representativeness of the sample. To Begin with….

Big Data 101

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 101

Cloudera

OCTOBER 17, 2023

Flink was launched in 2015 as the world’s first open source streaming-first distributed stream processing engine and has since grown to rival Spark in terms of popularity. Cloudera perspective: Cloudera began providing support and building tooling for the Kafka ecosystem in 2015 and has developed stable enterprise solutions.

Data-driven 80

Data-driven Enterprise IoT Data Warehouse 80

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

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. Link to item 6 on slide 27 is broken, [link] , for Dashboard to measure business impact, can you provide a current link?

Analytics 64

Analytics Measurement Modeling Data-driven 64

Insight

JUNE 10, 2019

Photo by Wayne Chan on Unsplash The race to the future I don’t know about you, but I distinctly remember a promise from 1989 that flying cars would be commonplace by 2015. Search optimization As discussed, this solution is computationally intense. The result is that the FAA database is both incomplete and worryingly inaccurate.

Breakeven 69

Breakeven Modeling Testing Marketing 69

AWS Big Data

OCTOBER 23, 2023

Running SQL on data lakes is fast, and Athena provides an optimized, Trino- and Presto-compatible API that includes a powerful optimizer. He joined AWS in 2015 and has been focusing in the big data analytics space since then, helping customers build scalable and robust solutions using AWS analytics services.

Data Lake 97

Data Lake Visualization Optimization Interactive 97

The Unofficial Google Data Science Blog

JULY 22, 2020

For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. Ramp-up solution: measure epoch and condition on its effect If one wants to do full traffic ramp-up and use data from all epochs, they must use an adjusted estimator to get an unbiased estimate of the average reward in each arm.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Occam's Razor

SEPTEMBER 15, 2014

Company UX leaders are happy to stink less by taking the sub-optimal path of responsive design, rather than create a mobile-unique experience (your customers tend to do different things on your desktop site than your mobile site!). Create a distinct mobile website and mobile app measurement strategies.

Metrics 141

Metrics Reporting Analytics Marketing 141

AWS Big Data

JULY 26, 2023

The vector engine’s compute capacity used for data ingestion, and search and query are measured in OpenSearch Compute Units (OCUs). Lastly, we are diligently focused on optimizing the performance and memory usage of the vector graphs, including improving caching, merging and more.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Domino Data Lab

JULY 1, 2021

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. Finally, we split the resulting dataset into a training and hold-out set, so that we can measure the performance of the classifier on unseen data.

Modeling 111

Modeling Statistics Testing Metrics 111

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

Posteriors are useful to understand the system, measure accuracy, and make better decisions. Methods like the Poisson bootstrap can help us measure the variability of $t$, but don’t give us posteriors either, particularly since good high-dimensional estimators aren’t unbiased.

KDD 40

KDD Testing Machine Learning Modeling 40

Domino Data Lab

FEBRUARY 4, 2019

The ability to measure results (risk-reducing evidence). 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.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

SEPTEMBER 4, 2023

For example, the average price of a Big Mac in the Euro area in July 2015 was $4.05 Simple, striking, effective, and informational, this is certainly among the prime data visual examples in existence, and its message is as engaging as it is informational, offering key insights into optimizing our daily routines for enhanced success.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

Domino Data Lab

AUGUST 1, 2021

but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature. 2015) for additional details. Neural machine translation by jointly learning to align and translate , ICLR, 2015. def create_model(): sgd = optimizers.SGD(lr=0.01, decay=0, momentum=0.9, See Wei et al. Bahdanau, D.,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Cloudera

JUNE 16, 2022

Use cases like fraud detection, network threat analysis, manufacturing intelligence, commerce optimization, real-time offers, instantaneous loan approvals, and more are now possible by moving the data processing components up the stream to address these real-time needs. . Convergence of batch and streaming made easy.

Data Lake 89

Data Lake Manufacturing Metadata Dashboards 89

CIO Business Intelligence

JULY 6, 2023

Spreading the news Telecom provider AT&T began trialing RPA in 2015 to decrease the number of repetitive tasks, such as order entry, for its service delivery group. Track, measure, and reuse. The group was able to automate one process and then expanded the effort from there, according to Mark Austin, vice president of data science.

Cost-Benefit 119

Cost-Benefit Technology Unstructured Data Testing 119

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. Apptio buys Targetprocess.

Enterprise 143

Enterprise Technology Consulting Software 143

Occam's Razor

FEBRUARY 9, 2015

It is 2015. If you want to get your company to use display advertising in a smarter manner, and not fall for old cheap tricks like View-Thrus, it is critical that you understand Multi-Channel Attribution Modeling and ensure that you are using both Assisted Conversions and Last-Click Conversions to measure success.

Metrics 155

Metrics Reporting IT Advertising 155

Occam's Razor

OCTOBER 12, 2017

Ask them what they worry about, ask them what they are solving for, ask them how they measure success, ask them what are two things on the horizon that they are excited about. Optimal Starting SCOTUS Starting Points. There is one other video I want you to watch, from the 2015 edition. So on and so forth. Science or Fiction?

Marketing 136

Marketing Analytics Machine Learning Strategy 136