The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. Our team does a lot of forecasting.

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Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Business Over Broadway

JANUARY 20, 2019

Analysis of usage patterns of 16 data science programming languages by over 18,000 data professionals showed that programming languages can be grouped into a smaller set (specifically, 5 groupings). In general, principal component analysis examines the statistical relationships (e.g., Click image to enlarge.

Machine Learning 79

Machine Learning Data Science Data-driven Statistics 79

CIO Business Intelligence

JANUARY 17, 2024

The latest moves in the process came in 2018 when the brand launched its full end-to-end service capability for packaged research through its digital platform, allowing clients to design, execute, and analyze their own research projects using Ipsos’ experience and resources. js and React.js.

Digital Transformation 116

Digital Transformation Dashboards Reporting Data Science 116

Business Over Broadway

SEPTEMBER 5, 2018

Their first challenge, the 2018 Call for Code Global Challenge , is a competition that asks developers to create solutions to reduce the deleterious impact of natural disasters on human lives, health, and wellbeing by improving the current state of natural disaster preparedness. Data is the Fuel; Data Science is the Engine.

Data Science 57

Data Science Statistics Advertising Deep Learning 57

O'Reilly on Data

MAY 21, 2019

For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production. With all the hype around AI, it can be tempting to jump into use cases involving data types with which you aren’t familiar. Source: O'Reilly.

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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. e-handbook of statistical methods: Summary tables of useful fractional factorial designs , 2018 [3] Ulrike Groemping.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Data Science and Beyond

OCTOBER 15, 2017

Do you know what data science is? Do you understand what data scientists do? Just so we’re on the same page, what is data science? Here are my thoughts from 2014 on defining data science as the intersection of software engineering and statistics , and a more recent post on defining data science in 2018.

Data Science 71

Data Science Deep Learning Machine Learning Data-driven 71

Birst BI

AUGUST 23, 2018

Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. What if some of these data science tasks could be automated using AI, increasing data science productivity to tackle more AI use cases?

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

CIO Business Intelligence

MARCH 31, 2023

Business analysts are in high demand, with 24% of Fortune 500 companies currently hiring business analysts across a range of industries, including technology (27%), finance (13%), professional services (10%), and healthcare (5%), according to data from Zippia.

Business Analysis 93

Business Analysis Testing Business Analytics Statistics 93

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. Learning Data Science.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. 2018-06-21). back to the structure of the dataset. Let’s look through some antidotes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. Welcome back to our monthly series about data science! This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 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. 9) Data Automation. Since it has been evaluated at USD 6.18

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Business Over Broadway

MAY 22, 2019

For those of you who are interested, here is Gartner’s latest (2018) hype cycle on emerging technologies. Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration. So, become data literate.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Peter James Thomas

AUGUST 12, 2018

Let’s cover what can go wrong (note: this section is not intended to be exhaustive, links are provided to more in-depth articles where appropriate): Accuracy of Data that is captured. A number of factors can play into the accuracy of data capture. Integrity of statistical estimates based on Data. million ± £0.5

Metrics 49

Metrics Statistics Data Quality Measurement 49

O'Reilly on Data

MARCH 20, 2019

Especially in today’s overheated and turnover-prone data “science” market.) But keeping a placeholder for them when scoring new data, or when retraining future iterations of your model, may come in very handy one day. DZone (2018). ACM (2018). Machine Learning 81.2 2010): 121-148. Kumar, Ajitesh. URL: [link].

Modeling 219

Modeling Machine Learning Predictive Modeling Consulting 219

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. Current Ratio.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

Domino Data Lab

JULY 17, 2021

The likelihood function measures the goodness of fit of a statistical model to a sample of data for given values of the unknown parameters. The post Building a Speaker Recognition Model appeared first on Data Science Blog by Domino. In this case, the means, variances, and the mixture weights. References: [1] [link]. [2]

Modeling 64

Modeling Testing Machine Learning Measurement 64

Domino Data Lab

OCTOBER 23, 2019

As a result, there has been a recent explosion in individual statistics that try to measure a player’s impact. Eighty percent of this problem is collecting the data and then transforming the data. The other 20 percent is ML- and data science–related tasks like finding the right model, doing EDA, and feature engineering.

Statistics 59

Statistics Machine Learning Testing Modeling 59

O'Reilly on Data

NOVEMBER 28, 2023

We weren’t surprised that AI programming (66%) and data analysis (59%) are the two most needed. AI is the next generation of what we called “data science” a few years back, and data science represented a merger between statistical modeling and software development. 85% might be a reasonable estimate.

Enterprise 267

Enterprise Modeling Testing Reporting 267

Smart Data Collective

APRIL 14, 2020

The future of data science jobs continues to be brighter than ever in 2020. According to Glassdoor’s list of Best Jobs in America for the past four years, “data scientist” topped in terms of job demand, job satisfaction, and pay with an average base salary of more than $100,000 per year. Data speaks louder than words.

Data Science 89

Data Science Statistics IT Big Data 89

Alation

JULY 7, 2022

In 2018, American Family Insurance became an Alation customer and I became the product owner for the AmFam catalog program. Universities were only just beginning to plan formal academic data science programs, and the skills to be taught in those programs were still being identified. Our paths converge.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Domino Data Lab

AUGUST 22, 2019

Data scientists and researchers require an extensive array of techniques, packages, and tools to accelerate core work flow tasks including prepping, processing, and analyzing data. Utilizing NLP helps researchers and data scientists complete core tasks faster. Example 11.6 place an LSTM() layer. for a hands-on example.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111