Domino Data Lab

APRIL 3, 2019

So this month let’s explore these themes: 2018 represented a flashpoint for DG fails, prompting headlines worldwide and resulting in much-renewed interest in the field. More Policies Emerged” (2010-2018). Flashpoint” (2018) – GDPR went into effect, plus major data blunders happened seemingly everywhere.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Jet Global

NOVEMBER 29, 2023

May we suggest an “old reliable” that’s time-tested, impactful and, despite rumors of its demise, remains still viable. As consumers continue to connect more and more facets of their lives via digital — banking, shopping, making appointments, interacting, etc. — That medium is print. According to U.S. You might smile when you find it.

Marketing 52

Marketing Cost-Benefit Interactive Testing 52

The Unofficial Google Data Science Blog

APRIL 23, 2024

However, if we experiment with both parameters at the same time we will learn something about interactions between these system parameters. Figure 4: Visualization of a central composite design. Central composite designs are made of three parts. The center part is one or more experiments in which parameters take their control (i.e.,

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Sisense

JUNE 9, 2021

Heat map data visualizations have shown teams that keep possession of the ball and maintain high intensity are most likely to score goals and win games. Team data can also be analyzed as a network, in which nodes represent players and the lines between the nodes represent interactions, such as passes between teammates.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Insight

MAY 16, 2019

It is a high-level, multifaceted field that allows machines to iteratively learn and understand complex representations from images and videos to automate human visual tasks. Pinterest developed a visual search engine which uses an object detection pipeline for content recommendation. Transfer Learning?—?YOLO. Precision?—?Recall

Deep Learning 84

Deep Learning Machine Learning Metadata Data Science 84

Jet Global

MAY 18, 2020

In the last few months, this level of thinking has been tested more than ever before. The Office of the CFO is charged with assembling data into a clear and accurate story of the company’s performance, and the coronavirus pandemic is the ultimate test for creating that narrative. A New Look. What You See is What You Get.

Finance 64

Finance Reporting Uncertainty Testing 64

Domino Data Lab

MAY 8, 2019

2018-06-21). On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization. Business stakeholders cannot rely on visualizations to interpret the ML models that their data science teams produce.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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. Users can control the data elements, the volume and the timing of the analysis and reporting.

Analytics 51

Analytics IT Business Intelligence Testing 51

Domino Data Lab

AUGUST 8, 2019

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. 2018 – Global reckoning about data governance, aka “Oops!…We 2008 – Financial crisis : scientists flee Wall St. No big deal.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

OCTOBER 23, 2019

You can add a Makefile command test that will run all of your notebooks by issuing. test: py.test --nbval notebooks/*.ipynb. In addition, having a larger set of data such that the model could be split into test versus training data would ensure better accuracy and reduce the chance of overfitting. Defaults to 200""".

Statistics 59

Statistics Machine Learning Testing Modeling 59

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

Cloudera

DECEMBER 12, 2018

In the Hadoop world, or the big data world, most of these components are separate and modular, but yet interact together to form a system that behaves very similarly. Greg Rahn: It seems just astounding that we have an order of magnitude more data in a single table in 2018, than an entire company had in their single largest database in 2004.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

Depict Data Studio

SEPTEMBER 17, 2019

In my sixth year of self-employment, the demand for data visualization skills is stronger than ever. This training program is about classic data visualization principles? advanced techniques like applying data visualization principles to reports, slideshows, infographics, and dashboards. What’s Included. We’ll go broad?

Visualization 40

Visualization Consulting Dashboards Reporting 40

CIO Business Intelligence

APRIL 12, 2022

Perforce already owns development tools such as Helix and the testing tools, including Perfecto and BlazeMeter. Infosys will fold oddity into Wongdoody, the US consumer insights agency it bought in 2018. Test automation: Tricentis buys Testim. billion it paid for LinkedIn in 2018. The price tag, a whopping $68.7

Enterprise 143

Enterprise Technology Consulting Software 143

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2) Data Discovery/Visualization. Data exploded and became big.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

IBM Big Data Hub

FEBRUARY 9, 2024

Prior to the current hype cycle, generative machine learning tools like the “Smart Compose” feature rolled out by Google in 2018 weren’t heralded as a paradigm shift, despite being harbingers of today’s text generating services. “2023 was the year of being able to chat with an AI.

Cost-Benefit 108

Cost-Benefit Modeling Data-driven Enterprise 108