Domino Data Lab

JULY 1, 2021

In this blog post we present the Named Entity Recognition problem and show how a BiLSTM-CRF model can be fitted using a freely available annotated corpus and Keras. The process of statistical learning can automatically extract said rules from a training dataset. How to build a statistical Named Entity Recognition (NER) model.

Modeling 111

Modeling Statistics Testing Metrics 111

datapine

SEPTEMBER 27, 2022

17) “SQL Database Programming” (2015 Edition) By Chris Fehily. The post Take Your SQL Skills To The Next Level With These Popular SQL Books appeared first on BI Blog | Data Visualization & Analytics Blog | datapine. Originally published in 2018, the book has a second edition that was released in January of 2022.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Smarten

NOVEMBER 20, 2023

The field of AI includes planning and learning, natural language processing (NLP) and machine learning, as well as reasoning and perception, neural networks, economics, mathematics and statistics. Services Open AI OpenAI was founded in 2015 by Elon Musk, Sam Altman and others.

Technology 52

Technology Digital Transformation Software Consulting 52

Jen Stirrup

OCTOBER 21, 2019

On a personal note, I have been working to p romote STEM subjects for women and I’ll blog about that important topic another day. . To summarise, this blog gives a flavour for some of the issues as well as some action points. Davies Review (2015 ) I mproving the Gender Balance on British Boards. Further Reading.

Data-driven 49

Data-driven Marketing Testing Management 49

BizAcuity

MARCH 25, 2019

This is resulting in the largest event management companies across this sector spending more than $43 billion on revenue analytics – which is a multi-dimensional and evolving field harnessing statistics, Artificial Intelligence and other tools to identify meaningful patterns in large data sets. billion in 2015 to $21.92

Analytics 74

Analytics Dashboards Sales Marketing 74

datapine

SEPTEMBER 4, 2023

For example, the average price of a Big Mac in the Euro area in July 2015 was $4.05 Back in 2015, when around 46.3 The pioneering visual is regarded by many as the “greatest statistical graphic ever drawn,” and while such a statement is subjective, it’s nothing short of inspirational.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. One reason to do ramp-up is to mitigate the risk of never before seen arms.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Alation

FEBRUARY 20, 2020

To address these needs, a catalog should provide data samples and statistical profiles, lineage, lists of users and stewards, and tips on how the data should be interpreted. Subscribe to Alation's Blog. Prescriptive vs. Descriptive. The Bottom Line. Get the latest data cataloging news and trends in your inbox. Consumers Need Catalogs.

Metrics 52

Metrics Consulting Machine Learning Statistics 52

Rita Sallam

JULY 22, 2016

Since the Gartner BI and Analytics Magic Quadrant has consumed much of my life for the past 8 years at Gartner, it’s only fitting that my very first blog post would be on this (fascinating!) decline in traditional BI ( See: Market Share Analysis: Business Intelligence and Analytics Software, 2015 ). Below are some detailed responses.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. Explore watsonx.ai, our next-generation enterprise studio for AI builders The post MLOps and the evolution of data science appeared first on IBM Blog.

Data Science 55

Data Science Machine Learning Cost-Benefit Deep Learning 55

O'Reilly on Data

DECEMBER 9, 2019

Recall from my previous blog post that all financial models are at the mercy of the Trinity of Errors , namely: errors in model specifications, errors in model parameter estimates, and errors resulting from the failure of a model to adapt to structural changes in its environment. The interval [-a, a] is called a 90% confidence interval.

Statistics 27

Statistics Uncertainty Risk Marketing 27

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. They may contain parameters in the statistical sense, but often they simply contain strategically placed 0's and 1's indicating which bits of $alpha_t$ are relevant for a particular computation. by STEVEN L.

Forecasting 64

Forecasting Statistics Modeling Software 64

Domino Data Lab

JUNE 8, 2021

In this blog post we take a deep dive into the internals of Support Vector Machines. 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.,

Optimization 76

Optimization Machine Learning Measurement Data Science 76

Rita Sallam

APRIL 2, 2023

We also gave the demo script and data set to all vendors in the Exhibit Hall to create demos for their booths and to submit for this blog. This blog highlights some notable findings and the videos from participating vendors. From there, participants were randomly selected and invited to present live at the Show Floor Showdown sessions.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Cloudera

MARCH 2, 2018

Bridgespan Group estimated in 2015 that only 6% of nonprofits use data to drive improvements in their work. The post Disrupt and Innovate in a Data-Driven World appeared first on Cloudera Blog. While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

Jen Stirrup

JUNE 20, 2020

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid. What does that say about the #SQLFamily?

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

The Unofficial Google Data Science Blog

MARCH 31, 2016

We often use statistical models to summarize the variation in our data, and random effects models are well suited for this — they are a form of ANOVA after all. Journal of the American Statistical Association 68.341 (1973): 117-130. [5] arXiv preprint arXiv:1506.04416 (2015). [6] 5] Anoop Korattikara, et al. 7] Nicholas A. "A

Modeling 40

Modeling Statistics Advertising Testing 40

The Unofficial Google Data Science Blog

JUNE 30, 2016

Identification We now discuss formally the statistical problem of causal inference. We start by describing the problem using standard statistical notation. The field of statistical machine learning provides a solution to this problem, allowing exploration of larger spaces. The annals of statistics (1991): 1-67.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Occam's Razor

JULY 13, 2017

You are going to see my deep bias for simplicity for the rest of this post (or in the 745,540 words written on this blog thus far). If you’ve read anything on this blog, you’ve read the importance of seeking why answers to provide critical context to the what answers that you get out of Adobe or Google Analytics. Really lovely.

Visualization 124

Visualization Strategy Interactive Statistics 124

Occam's Razor

MARCH 30, 2017

Yes, a silo but so much better than 2015. Over the last few years you’ve seen a huge infusion on this blog of business strategy, of influencing shifts in direction, of trying to fill gaps in people’s thinking where no data exists, of being able to function in ambiguity. I am glad analytics as we know it will go away.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

The Unofficial Google Data Science Blog

MAY 31, 2016

Statistical power is traditionally given in terms of a probability function, but often a more intuitive way of describing power is by stating the expected precision of our estimates. This is a quantity that is easily interpretable and summarizes nicely the statistical power of the experiment. In the U.S.,

Advertising 42

Advertising Testing Sales Statistics 42

Domino Data Lab

JANUARY 6, 2019

And my favorite topic: what are some of the best books, blogs, podcasts, etc., There are oh-so-many good blogs about data science, and one of my top picks is the go-to site for data visualization, Flowingdata. Joel Grus (2015). Pedro Domingos (2015). for beginning study in data science? Learning Data Science. Think Bayes.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Andrew White

JANUARY 9, 2022

Can you remind where we can find the mentioned blog? Can you provide a link to your blog, or will we get notice of your info posted through email? – As above, if you are here, you have the blog URL. Several questions asked about the blog URL so I will remove all that follow. What is your thought on ecosystem play?

Analytics 64

Analytics Measurement Modeling Data-driven 64

Peter James Thomas

OCTOBER 1, 2019

Sometimes the bars are clustered to allow multiple series to be charted side-by-side, for example yearly sales for 2015 to 2018 might appear against each product category. Some authorities describe them as any diagram using a map to display statistical data; I cover this type of general chart in Map Charts below. Cartograms.

Sales 61

Sales Measurement Statistics Data Architecture 61