Jet Global

MAY 18, 2020

In the last few months, this level of thinking has been tested more than ever before. Furthermore, a 20 18 McKinsey survey said that the number of functions reporting to CFOs has risen from four to six since 2016. Humans are very visually driven, especially in this digitallyled age. A New Look.

Finance 64

Finance Reporting Uncertainty Testing 64

Smarten

SEPTEMBER 6, 2019

With true self-serve business intelligence and analytics solutions, the average business user can perform data preparation, test theories and hypotheses by prototyping on their own and share clear, objective data with others.

Analytics 51

Analytics IT Business Intelligence Testing 51

Smarten

DECEMBER 7, 2017

Users can perform data preparation, test theories and hypotheses, and prototype to test price points, analyze changes in consumer buying behavior, anticipate changes in the competitive landscape and otherwise leverage data for analytical purposes, all without the assistance of IT or analysts.

IT 40

IT Testing ROI Data Warehouse 40

datapine

SEPTEMBER 16, 2022

Now that you’re sold on the power of data analytics in addition to data-driven BI, it’s time to take your journey a step further by exploring how to effectively communicate vital metrics and insights in a concise, inspiring, and accessible format through the power of visualization. That’s a colossal number of books on visualization.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

Insight

JUNE 10, 2019

In 2016, Uber published its Uber Elevate White Paper , setting its aspirations on providing on-demand air taxis from San Francisco to San Jose for about $130. Alexander | June 1, 2016 Training a c onvolution neural network (CNN) to spot helipads The solution I developed rests on retraining a CNN to recognize helipads in aerial images.

Breakeven 69

Breakeven Modeling Testing Marketing 69

Insight

MAY 20, 2020

When I was an Insight Data Engineering Fellow in 2016, I knew very little about Apache Spark prior to starting the program. Here are detailed instructions on how to install and test an installation of Hadoop on AWS. NiFi also comes with a graphical user interface that allows you to visualize dataflows and make any needed changes.

Data Warehouse 106

Data Warehouse Optimization Interactive Cost-Benefit 106

The Unofficial Google Data Science Blog

APRIL 23, 2024

Figure 4: Visualization of a central composite design. Multiparameter experiments, however, generate richer data than standard A/B tests, and automated t-tests alone are insufficient to analyze them well. 17:263-287, 2016. [10] Testing Statistical Hypotheses. Central composite designs are made of three parts.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

OCTOBER 23, 2019

Knowing that the ultimate goal is to compare the social-media influence and power of NBA players, a great place to start is with the roster of the NBA players in the 2016–2017 season. You can add a Makefile command test that will run all of your notebooks by issuing. test: py.test --nbval notebooks/*.ipynb. 35,vjust=1).

Statistics 59

Statistics Machine Learning Testing Modeling 59

Occam's Razor

SEPTEMBER 13, 2016

With that as context, you can imagine how heart-broken I was when Jane shared the following visual from a study done by Econsultancy and Lynchpin. Visual perception of information. Ability to create insightful data visualizations. If these 50 pass the sniff test, send the survey. Interpreting mathematical information.

Modeling 127

Modeling Reporting Strategy Consulting 127

Domino Data Lab

SEPTEMBER 25, 2019

predict(usBest, n.ahead=5, se.fit=TRUE) $pred Time Series: Start = 2012 End = 2016 Frequency = 1 [1] 49292.41 53415.70 $se Time Series: Start = 2012 End = 2016 Frequency = 1 [1] 535.6701 1014.2773 1397.6158 1731.1312 2063.2010 Visualizing this is easy enough but using the forecast function makes it even easier, as seen in Figure 24.6. >

Forecasting 87

Forecasting Modeling Statistics Optimization 87

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

For example, consider the following simple example fitting a two-dimensional function to predict if someone will pass the bar exam based just on their GPA (grades) and LSAT (a standardized test) using the public dataset (Wightman, 1998). Curiosities and anomalies in your training and testing data become genuine and sustained loss patterns.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Domino Data Lab

AUGUST 8, 2019

Having participated in several Foo Camps—and even co-chaired the Ed Foo series in 2016-17— most definitely, a Foo will turn your head around. He’s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

The Unofficial Google Data Science Blog

MARCH 31, 2016

Often our data can be stored or visualized as a table like the one shown below. both L1 and L2 penalties; see [8]) which were tuned for test set accuracy (log likelihood). On each of the ten segments the random effects model yielded higher test-set log likelihoods and AUCs, and we display the results in the figure below.

Modeling 40

Modeling Statistics Advertising Testing 40

Domino Data Lab

AUGUST 22, 2019

Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. This test set is available at download.tensorflow.org/data/questions-words.txt.]. Relative to extrinsic evaluations, intrinsic tests are quick. Note that the final test word in Table 11.2—ma’am—is

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

MARCH 27, 2019

Special thanks to Addison-Wesley Professional for permission to excerpt the following “Manipulating data with dplyr” chapter from the book, Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R. While this grouping is not visually apparent (i.e., Introduction.

Statistics 85

Statistics Data Science Visualization IT 85

BizAcuity

MAY 10, 2022

Microsoft also releases Power BI, a data visualization and business intelligence tool. 2016: Oracle launches with competencies across compute, storage, and networking. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. He puts forth a mobile-first, cloud-first strategy.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

datapine

AUGUST 29, 2022

It was lately revised and updated in January 2016. Not only does this digestible guide speak to the reader in a clear, decipherable language, but it is also rich in actionable tips in areas including A/B testing, social network analysis, regression, clustering, and more. is one of the greatest on the market.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

DECEMBER 28, 2021

To make sure the reliability is high, there are various techniques to perform – the first of them being the control tests, which should have similar results when reproducing an experiment in similar conditions. 4) Misleading data visualization. But this didn’t come easy. Let’s look at one of them closely. dataset and time period). .

Statistics 363

Statistics Advertising Visualization Data mining 363

CIO Business Intelligence

APRIL 12, 2022

Perforce already owns development tools such as Helix and the testing tools, including Perfecto and BlazeMeter. Test automation: Tricentis buys Testim. Software test automation vendor Tricentis has bought Testim, the developer of an AI-based SaaS test automation platform, to expand its continuous testing solutions.

Technology 143

Technology Enterprise Consulting Software 143