AWS Big Data

FEBRUARY 16, 2023

Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data. AWS CloudFormation helps you model and set up your AWS resources so you can spend less time managing those resources and more time focusing on your applications that run in AWS.

Data Warehouse 78

Data Warehouse Sales Visualization Data Processing 78

Jet Global

JUNE 22, 2023

In this model, your monthly income is split into the following categories: 50 percent for needs, 30 percent for wants, 20 percent for debts and savings. Link: [link] NPR – Planet Money Since its launch during the 2008 financial crisis, Planet Money, a podcast from National Public Radio, has won many awards.

KPI 105

KPI Finance Dashboards Digital Transformation 105

AWS Big Data

APRIL 25, 2023

AWS Step Functions is a visual workflow service that helps developers use AWS services to build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines. The following diagram shows a visual representation of how this integration works. Delete the CloudFormation stack.

Sales 70

Sales Visualization Software Marketing 70

Cloudera

FEBRUARY 15, 2024

It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. While this might be a blast from the past we’d rather leave in the proverbial rear-view mirror, in March of 2023 we were back to the future with the collapse of Silicon Valley Bank (SVB), the largest US bank to fail since 2008.

Insurance 82

Insurance Data Architecture Risk Management Risk 82

Occam's Razor

OCTOBER 14, 2014

See step four in the process for creating your Digital Marketing and Measurement Model.]. If you've read my first book Web Analytics: An Hour A Day, you know that I've advocated this strategy since 2008! There are four reasons, again from Web Analytics: An Hour A Day, from 2008 (!): See Page 269. :).

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

Domino Data Lab

JANUARY 6, 2019

I’ve been teaching data science since 2008 privately for employers – exec staff, investors, IT teams, and the data teams I’ve led – and since 2013, for industry professionals in general. Also, clearly there’s no “one size fits all” educational model for data science. The Berkeley model addresses large university needs in the US.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

JULY 22, 2019

how “the business executives who are seeing the value of data science and being model-informed, they are the ones who are doubling down on their bets now, and they’re investing a lot more money.” He also really informed a lot of the early thinking about data visualization. Key highlights from the session include. Transcript.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

O'Reilly on Data

JULY 25, 2023

I’m a professor who is interested in how we can use LLMs (Large Language Models) to teach programming. And if I switch tabs to view a paper from 2008, then a song from 2008 could start up. Setting the Stage: Who Am I and What Am I Trying to Build? This choice also inspired me to call my project Swift Papers.

Consulting 246

Consulting Interactive Software IT 246

datapine

NOVEMBER 19, 2019

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

O'Reilly on Data

MAY 27, 2020

Each of the classroom’s library books has a color coded sticker on its spine reflecting its Lexile score—a visual announcement of its official complexity level, and thus of which students might be officially ready to read it. Census data gives a map of unmet needs, and can also point out discriminatory patterns.

Risk 355

Risk Testing Measurement Reporting 355

Domino Data Lab

AUGUST 22, 2019

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

DataKitchen

MAY 10, 2021

Since 2008, teams working for our founding team and our customers have delivered 100s of millions of data sets, dashboards, and models with almost no errors. A robust process checks source data and work-in-progress at each processing step along the way to polished visualizations, charts, and graphs.

Testing 214

Testing Manufacturing Data Quality Statistics 214

The Data Visualisation Catalogue

FEBRUARY 12, 2019

The earliest writing I came across on 3D Treemaps was from Brain Johnson’s 1993 dissertation Treemaps : Visualizing Hierarchical and Categorical Data (see page 45, Figure 4.6). Treemaps: Visualizing Hierarchical and Categorical Data, Johnson, p. Source: The Information Cube: Using Transparency in 3D Information Visualization, p.

Visualization 41

Visualization Interactive Modeling Technology 41

Domino Data Lab

SEPTEMBER 18, 2019

Models are at the heart of data science. Data exploration is vital to model development and is particularly important at the start of any data science project. Interactive Data Visualization in Python. There are a couple of commonly used interactive data visualization libraries in Python: Plotly and Bokeh. Introduction.

Visualization 99

Visualization Interactive Machine Learning Data Science 99

Domino Data Lab

AUGUST 8, 2019

Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. 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

Domino Data Lab

MAY 20, 2021

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. Figure 3 shows visual explanation of how SMOTE generates synthetic observations in this case. Using the adap learning algorithm to forecast the onset of diabetes mellitus. Chen, L., & Aihara, K.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

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. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. by STEVEN L. Forecasting (e.g.

Forecasting 64

Forecasting Statistics Modeling Software 64

BizAcuity

MAY 10, 2022

Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. 2008: Microsoft announces Windows Azure (PaaS) with Azure Blob storage (S3 competitor). Microsoft also releases Power BI, a data visualization and business intelligence tool.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Jet Global

NOVEMBER 23, 2020

In this model, your monthly income is split into the following categories: 50 percent for needs, 30 percent for wants, 20 percent for debts and savings. Since its launch during the 2008 financial crisis, Planet Money, a podcast from National Public Radio, has won many awards. Don’t get buried in data while tracking KPI numbers.

KPI 52

KPI Finance Dashboards Data Processing 52

Occam's Razor

JANUARY 28, 2013

Innocent: Passionate Copy and Heart-warming Visual Design. ~ Innocent: Passionate Copy and Heart-warming Visual Design. AAA's visual experience is substantially better than MetLife. You can't try the dress on, but this data helps you understand if it will look on you just like it does on the model.

Marketing 164

Marketing Insurance Visualization IT 164

Occam's Razor

NOVEMBER 18, 2014

Like a vast majority on planet Earth, I love data visualizations. A day-to-day manifestation of this love is on my Google+ or Facebook profiles where 75% of my posts are related to my quick analysis and learnings from a visualization. Data visualized is data understood. But for a visual person like me, this is the ah-ha moment.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

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. Select all rows from the 2008 election. Introduction.

Statistics 85

Statistics Data Science Visualization IT 85

The Unofficial Google Data Science Blog

SEPTEMBER 30, 2016

Spreadsheets are a natural choice for this audience both because spreadsheets are ubiquitous and because they provide an intuitive way to visually inspect the raw data. The extreme losses on the left side of the plot also took place in October 2008, which was a bad month for the markets overall. Bayes and machine learning tools).

Statistics 53

Statistics Big Data Data Science Marketing 53

Jet Global

APRIL 5, 2021

Enterprises actively use financial modeling to guide their financial planning and strategic decision-making. Financial models offer data-driven, quantitative analysis that tells you where your company stands and where it’s heading. That being said, one model can’t do it all. What Is Financial Modeling?

Modeling 98

Modeling Forecasting Metrics Finance 98