Occam's Razor

JUNE 4, 2018

Checkout the Kimbao Sauvignon Blanc you can see sales and would buy it again rates since 2011. And, if you have a GDPR compliant login mechanism…Does your machine learning-powered ecommerce platform leverage the lifetime of my site experience, complaints, purchases, etc., Such is the case with A/B testing. Add to Basket!

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Domino Data Lab

APRIL 3, 2019

Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. That presented an opportunity to learn, putting me in the same position as much of the audience. Fun fact: in 2011 Google bought remnants of what had previously been Motorola.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

BizAcuity

MAY 10, 2022

2011: IBM enters the cloud market with IBM SmartCloud. Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. [You can read more on IaaS, PaaS and SaaS here ].

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

IBM Big Data Hub

MARCH 25, 2022

We founded MemSQL (the original name of SingleStore) in 2011. Around 2011, we worked with a hot gaming company with a real-time analytics use case to understand what their users were doing in the moment to optimize the gaming experience by monitoring how users interacted with the game.

Data-driven 70

Data-driven Data Warehouse Data Processing Marketing 70

O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). Introduction. Welcome back to our monthly series about data science!

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

datapine

AUGUST 29, 2022

He founded the project Apache Storm in 2011, which turned to be “one of the world’s most popular stream processors and has been adopted by many of the world’s largest companies, including Yahoo!, James Warren, on the other part, is a successful analytics architect with a background in machine learning and scientific computing.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

JULY 9, 2019

Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. I still believe that data science is the craft of trying to apply machine learning to some real world problem.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Domino Data Lab

AUGUST 22, 2019

Learning word vectors for sentiment analysis. Note: In more technical machine learning terms, the cost function of the skip-gram architecture is to maximize the log probability of any possible context word from a corpus given the current target word.] Relative to extrinsic evaluations, intrinsic tests are quick.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

The Unofficial Google Data Science Blog

JULY 18, 2023

While it may be a little abstract, this concept forms a key piece of Classical Test Theory (CTT) , a foundation of psychometrics. 2007): 77-89) Computing Krippendorff's Alpha-Reliability (Krippendorff, 2011) Cross-replication Reliability - An Empirical Approach to Interpreting Inter-rater Reliability (Wong et al.,

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Smart Data Collective

JUNE 6, 2021

This can be done through the analysis of previous product success as well as the data collected from test markets and/or social groups that may dictate what commercial offerings are best received. If your company revolves around the manufacturing of goods or services, for example, big data can aid you in the development of your products.

Big Data 132

Big Data Data Analytics Analytics Cost-Benefit 132

Domino Data Lab

SEPTEMBER 25, 2019

Yet, because the last event affects the current event and ordering of events matter, we are obligated to use more specialized tools as compared to plain regression or classification machine learning algorithms. Most of this, such as the statistics on residuals, tests, AIC and BIC are diagnostic measures on the quality of the fit.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

CIO Business Intelligence

JUNE 1, 2023

Here are a few outcomes from HPC’s groundbreaking capabilities: HPC modeling and simulation help engineers test jet engines without destroying a single $10-40 million jet engine. For one company, Cloud for HPC reduced deployment time by 95% in designing and testing new engineering pumps, drill heads, and regulators.

ROI 110

ROI Cost-Benefit Machine Learning Testing 110

AWS Big Data

APRIL 5, 2023

Showpad built new customer-facing embedded dashboards within Showpad eOSTM and migrated its legacy dashboards to Amazon QuickSight , a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52