datapine

SEPTEMBER 27, 2022

This piece, published in 2012, offers a step-to-step guide on everything related to SQL. Also, interactive online tools and platforms such as Codecademy and SQLZoo will allow you to develop and practice your programming skills in an engaging, practical setting – an excellent supplement to your book learning efforts.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

O'Reilly on Data

MAY 21, 2019

Consider deep learning, a specific form of machine learning that resurfaced in 2011/2012 due to record-setting models in speech and computer vision. Use ML to unlock new data types—e.g., images, audio, video. Tackle completely new use cases and applications. How much model inference is involved in specific applications?

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

Depict Data Studio

APRIL 10, 2023

and implications of findings) than in statistical significance. Lots of time and interest: Interactive charts. Consult a Chart Chooser My interactive Chart Chooser includes dozens of chart types, resources, tutorials, and templates. Laypeople are often more interested in practical significance (the “so what?” New to Dataviz?

Visualization 105

Visualization Dashboards Testing Reporting 105

AWS Big Data

APRIL 3, 2024

In Apache Spark, a SparkSession is the entry point for interacting with DataFrames and Spark’s built-in functions. You can submit a job to EMR within the Amazon EMR console using EMR Studio or programmatically, using the AWS CLI or using one of the AWS SDKs. config("spark.jars.packages", pydeequ.deequ_maven_coord).config("spark.jars.excludes",

Data Quality 87

Data Quality Visualization Metadata Metrics 87

Domino Data Lab

AUGUST 8, 2019

Another key point: troubleshooting edge cases for models in production—which is often where ethics and data meet, as far as regulators are concerned—requires much more sophistication in statistics than most data science teams tend to have. It’s a quick way to clear the room. machine learning? Or something. Nothing Spreads Like Fear”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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. Column "a" is an advertiser id, "b" is a web site, and "c" is the 'interaction' of columns "a" and "b". $y$ Cambridge University Press, (2012). [4] hi-fly-airlines 123.com

Modeling 40

Modeling Statistics Advertising Testing 40

IBM Big Data Hub

JANUARY 10, 2023

To make it easy for clients to understand how to utilize this capability within NPS, a demonstration was created that uses flight delay data for all commercial flights from United States airports that was collected by the United States Department of Transportation (Bureau of Transportation Statistics). Prerequisites for the demo.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. I went to a meeting at Starbucks with the founder of Alation right before they launched in 2012, drawing on the proverbial back-of-the-napkin.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Smart Data Collective

OCTOBER 17, 2022

zettabytes in 2012. Consider the statistics from Domo that the number of home-based workers has increased from roughly 15% 18 months ago to more than 50% now (it was close to 100% at times during the epidemic). A potential option is to use an ELT system — extract, load, and transform — to interact with the data on an as-needed basis.

Big Data 104

Big Data Data-driven Recreation/Entertainment Data Governance 104

IBM Big Data Hub

OCTOBER 12, 2023

Early iterations of the AI applications we interact with most today were built on traditional machine learning models. Reactive AI stems from statistical math and can analyze vast amounts of data to produce a seemingly intelligence output. This understanding can affect how the AI interacts with those around them.

Machine Learning 74

Machine Learning Deep Learning Interactive Modeling 74

Alation

JULY 7, 2022

In 2012 Davenport and Patil declared the data scientist was “ The Sexiest Job of the 21st Century.” The Bureau of Labor Statistics projects the job outlook for data scientists to grow 22% from 2020 to 2030. The vast volumes of data created by IoT, web interactions, and digital applications have given rise to new, data-centric roles.

Metadata 52

Metadata Data-driven Insurance Statistics 52

DataRobot Blog

APRIL 4, 2022

MMM stands for Marketing Mix Model and it is one of the oldest and most well-established techniques to measure the sales impact of marketing activity statistically. As with any type of statistical model, data is key and GIGO (“Garbage In, Garbage Out”) principle definitely applies. What is MMM? Data Requirements.

Machine Learning 52

Machine Learning Sales Measurement ROI 52

Sisense

DECEMBER 11, 2019

Citing Tinder as a major example, Kyle explained how it constantly uses data to enhance users’ interactions and calibrate the user experience. From a startup in 2012, it is now valued at $3.2 And he demonstrated how the Periscope Data platform overcomes the challenges of huge data volumes that can’t be easily modeled by traditional BI.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

CIO Business Intelligence

FEBRUARY 3, 2023

Email and client interaction; task routing Airslate Document-centric tasks such as PDF editing or generating eSignatures for contracts are one of the focuses for Airslate. The focus is interacting with web pages, databases, and Excel spreadsheets. Its “Conversational RPA” brings a natural language interface to many interactions.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

datapine

MAY 17, 2021

This methodology is an approach to data that supports business success and ensures that everyone within an organization is empowered to make the most of the information in front of them by understanding data in a seamless, interactive way. 4) Have interactive visualizations. So, what is data discovery? click to enlarge**.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161