Sisense

MAY 27, 2019

That means there’s one Hell of a lot of data running through your organization. So, given the choice, which analytics job title should you choose: A data engineer or a data scientist? Digging Deep For Data Diamonds – The Data Engineer. Data’s like diamonds. That’s the job of the data engineer.

Statistics 75

Statistics Machine Learning Visualization Big Data 75

The Unofficial Google Data Science Blog

NOVEMBER 19, 2015

We will continue to bring you posts from the range of data science activities at Google. We briefly highlight some of the things we look for in data scientists we hire at Google and give tips on ways to prepare. At Google we’re always looking for talented people, and we’re interested in hiring great data scientists.

Statistics 75

Statistics Data Science Machine Learning Sales 75

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) Identifying the problem. Agreeing on metrics.

Marketing 362

Marketing Experimentation Metrics Testing 362

The Unofficial Google Data Science Blog

APRIL 17, 2017

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. Adjustments to clean the data: missing values, anomalies, level changes, and transformations.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

bridgei2i

JANUARY 25, 2022

The Basic Guide to Data Science at the Workplace. The Basic Guide to Data Science at the Workplace. In this podcast episode, AI enthusiasts Anirudh and Janci talk about how sincere curiosity and passion for learning can help anyone understand data science and become an active contributor. And now you’re a data scientist.

Data Science 52

Data Science Machine Learning Data-driven Statistics 52

CIO Business Intelligence

FEBRUARY 15, 2023

Bayer is using drones to collect farming data across 80 million acres and satellite data to predict soil moisture down to the square meter. For example, we have a new digital farming business with drones that cover 80 million acres and collect a tremendous amount of data. Following are excerpts from that conversation.

Digital Transformation 98

Digital Transformation Experimentation Strategy Modeling 98

FineReport

DECEMBER 10, 2019

Why We Need Data Cleaning?. Data analysis is a time-consuming task, but are you prepared before the data analysis, and have you omitted the important step: data cleaning? In the process of data analysis, data cleaning is such a preliminary preparation after data extraction.

Data mining 98

Data mining Data Quality Statistics Measurement 98

Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. Don't fragment data, don't forget higher order bits. In the quest for that last important bit, I am insanely obsessive about 1.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 304

Data Quality Metadata Data Governance Publishing 304

AWS Big Data

OCTOBER 18, 2023

Data is the lifeblood of any organization, and the importance of protecting it cannot be overstated. Snapshot Management helps you create point-in-time backups of your domain using OpenSearch Dashboards, including both data and configuration settings (for visualizations and dashboards). Starting with OpenSearch v2.5

Snapshot 80

Snapshot Management Dashboards Data Processing 80

Cloudera

SEPTEMBER 20, 2021

R s = R 1 * R 2 … R n. R S is the Reliability of the total system. R 1 , R 2 , R n… is the reliability of each component in the system 1 being the first, 2 being the second and n being however many n components there are. . There are many ways that Apache Kafka has been deployed in the field.

Data Processing 115

Data Processing Software IT 115

Data Science and Beyond

OCTOBER 15, 2017

Aspiring data scientists and other visitors to this site often repeat the same questions. How do I become a data scientist? Before we get into it, have you thought about why you want to become a data scientist? Why should I become a data scientist? Do you know what data science is? It depends on your situation.

Data Science 71

Data Science Deep Learning Machine Learning Data-driven 71

CONTACT Software

FEBRUARY 19, 2019

The idea of platforms for automatic data analysis comes at just the right time. However, data science is not an area where you can magically get ahead with a tool or even a platform. A look at data science online tutorials from top providers like Coursera underlines the importance of these – well – down-to-earth tools.

Data Science 40

Data Science Statistics Machine Learning Deep Learning 40

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch ’s “ Product Management for AI ”session at Rev provided a “crash course” on what product managers and leaders need to know about shipping machine learning (ML) projects and how to navigate key challenges. It is similar to R&D. Without large amounts of labeled training data solving most AI problems is not possible.

Management 110

Management Machine Learning Experimentation Metrics 110

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. Next, I spent a fair amount of time cleaning the data. A New Hope ).

Risk 67

Risk ROI Modeling Metrics 67

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. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Depict Data Studio

MAY 8, 2023

All of these classes fall under the broad data communications umbrella. One class focuses on data analysis (cleaning and tabulating our raw datasets to get them ready for graphs). Class 1: Simple Spreadsheets: How to Analyze Data from Start to Finish in Excel Need to make sense of spreadsheets? Not sure where to start?

Dashboards 52

Dashboards Visualization Reporting Interactive 52

Occam's Razor

MARCH 23, 2010

Javascript tag driven click data processed in the cloud provided through a web based front end that allows you to segment and create meaningful views of the data unique to you. It is really hard to get a organization to use one set of numbers (and remember they are not going to be clean or complete, no matter what you do).

Analytics 118

Analytics Consulting Metrics Experimentation 118

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. Preprocessing Natural Language Data.

Deep Learning 111

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Smart Data Collective

MAY 18, 2021

The stock market has been highly influenced by advances in big data and artificial intelligence. As a result, firms are beginning to move beyond standard ESG practices and actively engage in R & D, in order to ensure that they align with the global climate movement. Tesla has collected data on 1.3 How is AI used by Tesla?

Marketing 75

Marketing Big Data Deep Learning Machine Learning 75