Cloudera

JULY 11, 2021

According to statistics by Singapore’s Ministry of Education, there has been a 3% increase in the number of women pursuing STEM university degrees from 2017 to 2019, as reported by The Straits Times. . The post Paving the way for women in Tech: Fostering young girls’ enthusiasm for STEM appeared first on Cloudera Blog.

Sales 101

Sales Consulting Technology Statistics 101

Jen Stirrup

OCTOBER 21, 2019

Organizations need to find a balance between policies at organisational structures and practices and individual needs (Berger et al 2017). Organizations can also consider holding events such as Black History week and transgender awareness workshops (Noon 2017). BBC (2017) BBC’s 9 % gender pay gap revealed . Franklin, J.

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Data-driven Marketing Testing Management 48

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

Sisense

JANUARY 14, 2021

He co-founded Billie with a group of colleagues in 2017 and now leads the BI team. Ivan Yeromenko, Business Intelligence Developer With a Master of Science in statistics, Ivan started his data career in 2018 at a gaming startup in Berlin, then moved to Billie to maintain and further improve the BI infrastructure.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

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.

Analytics 74

Analytics Dashboards Sales Marketing 74

BizAcuity

APRIL 28, 2019

is delinquent as of June 30th, 2017. By clubbing various techniques like data mining, machine learning, artificial intelligence and statistical modelling, it makes predictions about events in the future. According to a Federal Bank report, more than $600 billion of household debt in the U.S. One such interesting case study is WNS.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

The Data Visualisation Catalogue

JANUARY 12, 2024

On 6th January 2017, all 60 chart reference pages were completed. Subsequently, a shop was introduced, and later, this blog was added to provide additional content and learning. Yet, although I struggle to produce enough content for this blog, I am committed to making new posts when possible.

Statistics 62

Statistics Visualization Publishing IT 62

The Unofficial Google Data Science Blog

APRIL 17, 2017

Facebook in a recent blog post unveiled Prophet , which is also a regression-based forecasting tool. Prediction Intervals A statistical forecasting system should not lack uncertainty quantification. We hope this blog post is the start of such a dialogue. Accessed on 20 March 2017. Journal of Official Statistics 6.1

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Forecasting Modeling Statistics Uncertainty 83

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. This blog post discusses such a comprehensive approach that is used at Youtube. Journal of Statistical Software, 56(1):1-56, 2014. [5]

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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. Wes McKinney (2017). Aurélien Géron (2017). for beginning study in data science? Learning Data Science.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Sisense

DECEMBER 3, 2019

Data is the New Oil” was coined by The Economist in May 2017 and became a mantra for organizations to drive new wealth from data. Business users can independently compare the forecast with actual values for the last period, view the respective weights of the statistical model, and change inputs to fine-tune their forecast.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

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

IBM Big Data Hub

JUNE 21, 2023

Learn more about watsonx Automated AI commentary built from foundation models IBM first pioneered the use of AI to curate video highlight reels in 2017, work that earned the IBM Consulting team a 2023 Emmy® Award.

Consulting 81

Consulting Unstructured Data Digital Transformation Modeling 81

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Challenges for Transparency ”. Riccardo Guidotti, et al.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the one hand, basic statistical models (e.g. This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. As introduced in Zaheer et al.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

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

Peter James Thomas

AUGUST 22, 2018

While the history is not certain, most authorities credit the pioneer of graphical statistics, William Playfair , with creating this icon, which appeared in his Statistical Breviary, first published in 1801 [2]. The right-hand chart has the same breakdown, but for 2017. New Adventures in Wi-Fi – Track 1: Blogging.

Sales 73

Sales Statistics IT Publishing 73

datapine

NOVEMBER 19, 2019

Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. billion in 2017 to $190.61 This IT buzzword was on everyone’s lips already in the last years, after it made history when in 2017, bitcoin increased its value from $1000 to roughly $20000 (20 times in one year!),

Technology 279

Technology Internet of Things IT IoT 279

Peter James Thomas

AUGUST 12, 2018

This piece was prompted by both Olaf’s question and a recent article by my friend Neil Raden on his Silicon Angle blog, Performance management: Can you really manage what you measure? However – as is often the case with issues I deal with on this blog – fact-based decision-making is easier to say than it is to achieve.

Metrics 49

Metrics Statistics Data Quality Measurement 49

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

O'Reilly on Data

MARCH 23, 2023

All of these models are based on a technology called Transformers , which was invented by Google Research and Google Brain in 2017. And it can look up an author and make statistical observations about their interests. Personal conversation, though he may also have said this in his blog. O’Reilly, 2022).

IT 262

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The Unofficial Google Data Science Blog

JULY 18, 2023

That’s the focus of this blog post. Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. We’ll start by defining some key concepts around measuring the quality of human labeled data.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

The Unofficial Google Data Science Blog

MARCH 13, 2017

By MUKUND SUNDARARAJAN, ANKUR TALY, QIQI YAN Editor's note: Causal inference is central to answering questions in science, engineering and business and hence the topic has received particular attention on this blog. Not just a black box: Learning important features through propagating activation differences. CoRR, 2016. [3] Le, Andrew M.

IT 68

IT Visualization Modeling Uncertainty 68

Peter James Thomas

OCTOBER 1, 2019

Throughout I use the word “category” to refer to something discrete that is plotted on an axis, for example France, Germany, Italy and The UK, or 2016, 2017, 2018 and 2019. 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.

Sales 61

Sales Measurement Statistics Data Architecture 61

Peter James Thomas

APRIL 9, 2019

This is the second year in which I have produced a retrospective of my blogging activity. As in 2017 , I have failed miserably in my original objective of posting this early in January. Statistics & Data Science. Statistics & Data Science. Maybe I will do better with 2019’s highlights! Data Visualisation.

Data-driven 49

Data-driven Statistics Big Data Data Science 49

Smarten

MAY 11, 2017

Plug n’ Play Predictive Analysis enables business users to explore power of predictive analytics without indepth understanding of statistics and data science. Their findings include: Through 2017, the number of citizen data scientists will grow five times faster than the number of highly skilled data scientists.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. Prescriptive analytics goes a step further into the future. And it’s completely free!

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Data Science and Beyond

JANUARY 8, 2017

As of early 2017, fewer than half. My main problem with the Kissmetrics infographic is that it helps feed an illusion of understanding that is prevalent among those with no statistical training. The rise of data science increases the availability of statistical and scientific tools to small and large businesses. Why is that?

Statistics 100

Statistics Modeling Predictive Modeling Marketing 100

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.

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Visualization Strategy Interactive Statistics 124