2012 and Data Analysis - Data Science Current

Pascal VOC

Dataconomy

APRIL 3, 2025

Data analysis: Enabling automated data collection for better insights and decision-making. Competitive framework Between 2005 and 2012, the series of competitions evaluated the performance of various object recognition models. Safety: Improving the accuracy of security systems and enhancing public safety measures.

Machine Learning

Machine Learning Machine Learning Algorithm Data Analysis

Introducing a blog series: The key trio of software development, project management, and data science

Data Science Dojo

JANUARY 23, 2023

without at least “touching” on quantitative interviewing/surveys, quantitative data-analysis–e.g. via word counts, content-analysis, etc. Fast-forward; year: 2012. But our instructor couldn’t really teach us about interpretive methods, ethnography, and qualitative interviewing etc.,

Data Science

Data Science Data Analysis Data Analysis Algorithm

Key Strategies for Leveraging User Data for Content Marketing

Smart Data Collective

APRIL 20, 2023

Identifying content opportunities: By analyzing data, you can identify gaps in the market and identify opportunities to develop content that addresses unmet needs. In 2012, we wrote this article on using big data for market research , which you may want to look at.

Big Data

Big Data Big Data Data Analysis Data Analysis

Webinars

Automation, Evolved: Your New Playbook For Smarter Knowledge Work

MORE WEBINARS

Using Geographic Data To Create A Perfect Google Maps Radius

Smart Data Collective

SEPTEMBER 17, 2020

The highly intuitive data interface provided by Google Maps can be very helpful. In 2012, Google boasted about its capabilities of using big data to create storytelling via interactive maps. Google My Maps allows users to customize their maps to organize their favorite destinations and communicate data analysis visually.

Big Data

Big Data Big Data Data Mining Data Mining

ICML 2021 Invited Speakers — ML for Science

Machine Learning (Theory)

JULY 19, 2021

She received the MacArthur Foundation Fellowship in 2004, was awarded the ACM Prize in Computing in 2008, and was recognized as one of TIME Magazine’s 100 most influential people in 2012. Her group designs multiscale models, adaptive sampling approaches, and data analysis tools, and uses both data-driven methods and theoretical formulations.

ML

ML ML Machine Learning Machine Learning

How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

IBM Journey to AI blog

JANUARY 10, 2023

All SQL and Python code is executed against the NPS database using Jupyter notebooks, which capture query output and graphing of results during the analysis phase of the demonstration. The external table capability of NPS makes it transparent to a client that some of the data resides externally to the data warehouse.

Data Warehouse

Data Warehouse Data Analysis Data Analysis SQL

The Gap’s Data Science Director Has Tailored the Retailer’s Operations

Flipboard

JANUARY 20, 2025

He then earned a masters degree in operations research in 2012 from Columbia. Its important to network with people to understand what kind of data science they are doing, what the role entails, and what skills are needed to make sure that its a good fit for you, he says. There are eight of what he calls spokes in data science.

Data Science

Data Science Data Scientist Exploratory Data Analysis Machine Learning

Structural Evolutions in Data

O'Reilly Media

SEPTEMBER 19, 2023

” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. The data scientist—sorry, “machine learning engineer” or “AI specialist”—job interview now involves one of those toolkits, or one of the higher-level abstractions such as HuggingFace Transformers.

Hadoop

Hadoop Algorithm ML ML

CDS Professors Juliana Freire and Cláudio T. Silva Receive IEEE VIS Test of Time Award

NYU Center for Data Science

SEPTEMBER 22, 2023

patents, and her contributions to large-scale data analysis, visualization, and web information discovery are many. Silva, also a Director of the VIDA Center, has had an illustrious career, marked by over 300 publications and a significant role in co-founding the Center for Urban Science and Progress in 2012.

Data Science

Data Science Computer Science Computer Science Data Visualization

Mathematics and Data Science: its role and relevance

Pickl AI

DECEMBER 14, 2023

Well, before digging deeper into the prerequisites for Data science, let’s have a quick understanding of why Data Science is gaining popularity. 650% growth in the data domain since 2012. million new job opportunities in the data domain by 2025. There will be around 11.5

Data Science

Data Science Hypothesis Testing Machine Learning Machine Learning

Publish predictive dashboards in Amazon QuickSight using ML predictions from Amazon SageMaker Canvas

AWS Machine Learning Blog

MAY 10, 2023

Then they can create predictive dashboards with the data. For more information, see Getting started with Amazon QuickSight data analysis. Create an analysis on the batch prediction dataset shared from Canvas by choosing Create analysis on the drop-down options menu (three vertical dots). Choose Create policy.

ML

ML ML AWS Data Analysis

How artificial intelligence went from science fiction to science itself?

Dataconomy

JUNE 15, 2023

Another significant milestone came in 2012 when Google X’s AI successfully identified cats in videos using over 16,000 processors. Instead of manually coding rules as in expert systems, the focus shifted to allowing computers to independently discover patterns and correlations through large-scale data analysis.

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning

These Are Data’s Dark Ages, and That Needs to Change

Alation

FEBRUARY 20, 2020

According to the Accenture Institute for High Performance, in an article from Harvard Business Review , the skills required to be data literate include understanding what data means, drawing correct conclusions from data and recognizing when data is used in misleading or inappropriate ways.

Big Data

Big Data Big Data Data Analysis Data Analysis

10 reasons to learn Data Science

Pickl AI

FEBRUARY 6, 2024

Key takeaways The demand for Data Science professionals is going to increase. There has been a 650% rise in the analytics domain since 2012. Employment of data scientists is projected to grow 35% from 2022 to 2032 The average salary of a Data Scientist in India is around ₹ 3.9 Lakhs Benefits of studying Data Science 1.

Data Science

Data Science Data Scientist Machine Learning Machine Learning

Data Scientist Salary in India’s Top Tech Cities

Pickl AI

APRIL 28, 2023

With more than 650% growth since 2012, Data Science has emerged as one of the most sought-after technologies. With the new developments in this domain, Data Science presents a picture of futuristic technology. A Data Scientist’s average salary in India is up to₹ 8.0

Data Scientist

Data Scientist Data Science Hypothesis Testing Decision Trees

Lack of Data Integrity in Financial Institutions: How Much Is It Really Costing You?

Precisely

JANUARY 25, 2023

After all, it is virtually impossible to accurately match records across multiple data sources if the quality of that data is deficient. billion fine in 2012 for failing to adequately comply with KYC regulations. Risk management professionals depend on high data integrity to support sound decisions.

Data Quality

Data Quality Machine Learning Machine Learning Data Silos

Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

AWS Machine Learning Blog

APRIL 16, 2024

The output of a query can be displayed directly within the notebook, facilitating seamless integration of SQL and Python workflows in your data analysis. Create an Athena connection Athena is a fully managed SQL query service from AWS that enables analysis of data stored in Amazon S3 using standard SQL.

SQL

SQL AWS Database Data Scientist

Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools

AWS Machine Learning Blog

DECEMBER 14, 2023

This integration offers more efficient and innovative methods for data analysis, ML, and coding tasks. You need to grant your users permissions for private spaces and user profiles necessary to access these private spaces.

ML

ML ML AI AI

Bringing MMM to 21st Century with Machine Learning and Automation?

DataRobot Blog

APRIL 4, 2022

Historically, marketing departments have been the pioneers in adoption of new approaches for data analysis in most organizations. Originating in game theory, there is a reason why Shapley Value earned Lloyd Shapley a Nobel Prize in 2012. Bringing Marketing Mix Modeling into the 21st century with ML and Automation.

Machine Learning

Machine Learning Machine Learning ML ML

Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

Flipboard

MARCH 21, 2025

On the top menu, choose Build , and under DATA ANALYSIS & INTEGRATION , select Query Editor. On the top menu, choose Build , and under DATA ANALYSIS & INTEGRATION , select Query Editor. The purchase history data is shared with the marketing team for enhanced campaign performance.

SQL

SQL Data Analyst Data Warehouse AWS

Deep Learning Would Be Crucial Under Sanders’s Medicare for All System

Smart Data Collective

MARCH 16, 2020

Subsequent studies from October 2012 on the impact of big data in the health sector also confirm the same budget data and other considerations that we will discuss below.

Deep Learning

Deep Learning Deep Learning Big Data Big Data

Reflecting on a decade of data science and the future of visualization tools

Tableau

FEBRUARY 24, 2021

Bringing together statistics and computer science with the necessary subject matter expertise has resulted in new challenges that are uniquely addressed by data science and that are tackled by data scientists. Importantly, a working definition of data science narrows the scope of research. Interviews conducted by Harris et al.

Data Science

Data Science Data Scientist Data Visualization Computer Science

Reflecting on a decade of data science and the future of visualization tools

Tableau

FEBRUARY 24, 2021

Bringing together statistics and computer science with the necessary subject matter expertise has resulted in new challenges that are uniquely addressed by data science and that are tackled by data scientists. Importantly, a working definition of data science narrows the scope of research. Interviews conducted by Harris et al.

Data Science

Data Science Data Scientist Data Visualization Computer Science

Data scientist

Dataconomy

MARCH 5, 2025

Job title history of data scientist The title “data scientist” gained prominence in 2008 when companies like Facebook and LinkedIn utilized it in corporate job descriptions. Citizen Data Scientist: Uses existing analytics tools but may lack formal training and earn a salary more aligned with general activities.

Data Scientist

Data Scientist Citizen Data Scientist Exploratory Data Analysis Machine Learning

Data Science Current

Pascal VOC

Introducing a blog series: The key trio of software development, project management, and data science

Webinars

Trending Sources

Key Strategies for Leveraging User Data for Content Marketing

Webinars

Using Geographic Data To Create A Perfect Google Maps Radius

ICML 2021 Invited Speakers — ML for Science

How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

The Gap’s Data Science Director Has Tailored the Retailer’s Operations

Structural Evolutions in Data

CDS Professors Juliana Freire and Cláudio T. Silva Receive IEEE VIS Test of Time Award

Mathematics and Data Science: its role and relevance

Publish predictive dashboards in Amazon QuickSight using ML predictions from Amazon SageMaker Canvas

How artificial intelligence went from science fiction to science itself?

These Are Data’s Dark Ages, and That Needs to Change

10 reasons to learn Data Science

Data Scientist Salary in India’s Top Tech Cities

Lack of Data Integrity in Financial Institutions: How Much Is It Really Costing You?

Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools

Bringing MMM to 21st Century with Machine Learning and Automation?

Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

Deep Learning Would Be Crucial Under Sanders’s Medicare for All System

Reflecting on a decade of data science and the future of visualization tools

Reflecting on a decade of data science and the future of visualization tools

Data scientist

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