Analytics Vidhya

JUNE 17, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Imagine having the power to observe your customer’s thoughts, like. The post How to use VADER (Valence Aware Dictionary) for Sentiment Analysis appeared first on Analytics Vidhya.

Data Science 280

Data Science Publishing Analytics Structured Data 280

Analytics Vidhya

JULY 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon What is Statistics? The Oxford dictionary defines statistics as ‘the practice. The post Get Started with Statistics for Data Science appeared first on Analytics Vidhya.

Statistics 232

Statistics Data Science Publishing Analytics 232

Rocket-Powered Data Science

JUNE 28, 2019

Here is a compilation of glossaries of terminology used in data science, big data analytics, machine learning, AI, and related fields: Glossary of common Machine Learning, Statistics and Data Science terms. Data Science Glossary on DataScienceCentral. Data Science Glossary.

Data Science 218

Data Science Machine Learning Big Data Statistics 218

Peter James Thomas

AUGUST 4, 2020

A revised and expanded version of the peterjamesthomas.com Data and Analytics Dictionary has been published. The previous Dictionary was not the easiest to read on mobile devices. The new Dictionary includes 22 additional definitions, bringing the total number of entries to 220, totalling well over twenty thousand words.

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98

DataRobot

MARCH 10, 2021

Although AI is powerful and generates trillions of dollars of economic value across the world, what you see in science fiction movies remains pure fiction. According to the dictionary, autonomous means “having the freedom to govern itself or control its own affairs.” Contrast the dictionary definition with how the word is used.

Experimentation 145

Experimentation Machine Learning Key Performance Indicator Reporting 145

erwin

APRIL 15, 2020

During this coronavirus emergency, we are all being deluged by data from politicians, government agencies, news outlets, social media and websites, including valid facts but also opinions and rumors. Yay, data geeks! On a business level, decisions based on bad external data may have the potential to cause business failures.

Data Governance 134

Data Governance Metadata Testing Reporting 134

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. DataOps helps the data mesh deliver greater business agility by enabling decentralized domains to work in concert. . But first, let’s define the data mesh design pattern.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

AWS Big Data

MAY 4, 2023

Welcome to the era of data. The sheer volume of data captured daily continues to grow, calling for platforms and solutions to evolve. The Amazon Sustainability Data Initiative (ASDI) uses the capabilities of Amazon S3 to provide a no-cost solution for you to store and share climate science workloads across the globe.

Data Processing 92

Data Processing Metadata Informatics Interactive 92

Peter James Thomas

AUGUST 5, 2019

It’s always nice to learn that your work is appreciated and so thank you to Ankit Rathi for including me in his list of Data Science and Artificial Intelligence practitioners. George Firican – who of course is one of the contributors to The Data & Analytics Dictionary. Srivatsan Srinivasan. Parul Pandey.

Data Science 45

Data Science Analytics IT 45

KDnuggets

DECEMBER 18, 2019

Ultralearn Data Science; Python Dictionary How-To; Top stories of 2019 and more. Build Pipelines with Pandas Using pdpipe; AI, Analytics, ML, DS, Technology Main Developments, Key Trends; New Poll: Does AutoML work?

Technology 48

Technology Data Science Analytics 48

Andrew White

JULY 5, 2023

I blogged recently about the high level of hype and confusion across Data and Analytics just a few months ago. Here is the original blog from March 2023: Summing Up Three Days at Gartner’s Data and Analytics Conference in Orlando, Florida, USA. The fact that there are different names is one thing. Too often they are conflated.

Metrics 52

Metrics Metadata Modeling Data Quality 52

IBM Big Data Hub

FEBRUARY 6, 2024

If you’re using a basic pre-packaged registrar Domain Name System (DNS) offering, you probably don’t have access to DNS traffic data at all. If you’re using a premium DNS service, the data might be there. Most authoritative DNS providers have some kind of observability option.

Dashboards 72

Dashboards Data Collection Modeling IT 72

CIO Business Intelligence

MAY 2, 2022

Can you deliver meaningful results on a data project within one or two quarters? That’s a requirement for nearly any initiative undertaken by Petco Chief Data and Analytics Officer Rakesh Srinivasan, who invests the talent and resources to achieve results quickly.

Advertising 98

Advertising Data Governance Insurance Strategy 98

Peter James Thomas

AUGUST 13, 2018

Between November and December 2017, I published the three parts of my Anatomy of a Data Function. Eight months is a long time in the data arena and I have now issued an update. Change Data Science to Data Science / Engineering in order to better reflect the continuing evolution of this area.

Data Science 42

Data Science Publishing Analytics IT 42

Insight

NOVEMBER 14, 2019

The prevalent use of online platforms for interaction and the large size of the text data from users’ input makes digesting data increasingly more time-consuming. Data The company shared 180k students’ reflections that, based on the company’s rubric system, were considered high quality (having a strategy/strategies).

Testing 54

Testing Modeling Strategy Interactive 54

Peter James Thomas

AUGUST 18, 2018

No this article has not escaped from my Maths & Science section , it is actually about data matters. But first of all, channeling Jennifer Aniston [1] , “here comes the Science bit – concentrate” Shared Shapes. That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Cloudera

JANUARY 30, 2019

It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —. Sound familiar? What is CDSW?

Data Science 72

Data Science Machine Learning Experimentation Cost-Benefit 72

Andrew White

OCTOBER 22, 2021

Monetization/Link data to outcome (value pyramid) business value of data/business impact 20. Business Information Model/Arch compared to classic enterprise data model and how to relate it to catalogs and marketplaces and enterprise data models 13. Data Hub Strategy 10. Data Management Infrastructure/Data Fabric 5.

IT 52

IT Data Lake Strategy Data Science 52

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

AUGUST 1, 2023

Data collection on tribal languages has been undertaken for decades, but in 2012, those working at the Myaamia Center and the National Breath of Life Archival Institute for Indigenous Languages realized that technology had advanced in a way that could better move the process along.

Risk 98

Risk IT Software Digital Transformation 98

Domino Data Lab

MAY 1, 2019

This Domino Data Science Field Note provides highlights and excerpted slides from Chloe Mawer ’s “ The Ingredients of a Reproducible Machine Learning Model ” talk at a recent WiMLDS meetup. Mawer is a Principal Data Scientist at Lineage Logistics as well as an Adjunct Lecturer at Northwestern University.

Machine Learning 81

Machine Learning Testing Data Science Modeling 81

O'Reilly on Data

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers).

Deep Learning 227

Deep Learning Testing Machine Learning Modeling 227

DataRobot

JANUARY 18, 2022

It’s safe to say that most data science fails are inadvertent rather than malicious. The dictionary definition of zen is a state of meditative calm in which one uses direct, intuitive insights as a way of thinking and acting. AI requires data for training and for operation. AI impact statements are not always necessary.

Risk Management 52

Risk Management Risk Data-driven Metrics 52

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? How does text mining work?

Data mining 58

Data mining Machine Learning Deep Learning Marketing 58

O'Reilly on Data

MARCH 23, 2021

There is a growing disbelief and distrust in basic science and government. A consensual hallucination experienced daily by billions of legitimate operators, in every nation, by children being taught mathematical concepts… A graphic representation of data abstracted from the banks of every computer in the human system.

Internet Publishing and Broadcasting 315

Internet Publishing and Broadcasting Broadcasting Data-driven Interactive 315

Alation

FEBRUARY 13, 2020

This article is based on a podcast Ron Powell conducted with Sharon Graves, Enterprise Data and BI Tools Evangelist for GoDaddy, about data curation, data stewardship, and data catalogs. His focus is on business intelligence, analytics, big data, and data warehousing. What did that involve?

Digital Transformation 52

Digital Transformation Data-driven Business Intelligence Big Data 52

Peter James Thomas

JUNE 20, 2019

The above chart compares monthly searches for Business Process Reengineering (including its arguable rebranding as Business Transformation ) and monthly searches for Data Science between 2004 and 2019. Figures suggest that both BPR and Data Warehouse programmes have a failure rate of 60 – 70% [5]. The scope is worldwide.

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

Peter James Thomas

AUGUST 29, 2018

Today I am talking to Christopher Bannocks , who is Group Chief Data Officer at ING. As stressed in other recent In-depth interviews [1] , data is a critical asset in banking and related activities, so Christopher’s role is a pivotal one. 2] I was asked to help solve the data problem.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Insight

JULY 23, 2019

I frequently run into this issue in my data science workflow with complex objects in libraries, like TensorFlow. kwonlydefaults is a dictionary with keyword-only arg default values. annotations is a dictionary specifying any type annotations. args contains the argument names. kwonlyargs lists names of keyword-only args.

Testing 55

Testing Data Science IT Interactive 55

Peter James Thomas

OCTOBER 30, 2018

Where they have, I have normally found the people holding these roles to be better informed about data matters than their peers. Prelude… I recently came across an article in Marketing Week with the clickbait-worthy headline of Why the rise of the chief data officer will be short-lived (their choice of capitalisation).

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

CIO Business Intelligence

MARCH 10, 2022

took over as CIO at University of Alabama-Birmingham in 2015, he confronted a “computer science museum,” as he calls it — instances of every operating system, storage device, and application on the market for the past 30 years. Next up: AI and data lake decisions. When Dr. Curtis Carver, Ph.D.,

IT 98

IT Data Lake Digital Transformation Data Governance 98

Octopai

DECEMBER 12, 2021

A data asset is only an asset if you can use it to help your organization. What enables you to use all those gigabytes and terabytes of data you’ve collected? Metadata is the pertinent, practical details about data assets: what they are, what to use them for, what to use them with. Where does metadata come from?

Metadata 93

Metadata Management Data Quality Data Governance 93

O'Reilly on Data

AUGUST 4, 2022

In the 1950s, machine translation of Russian into English was considered to be no more complex than dictionary lookups and templated phrases. The claim is that AGI is now simply a matter of improving performance, both in hardware and software, and making models bigger, using more data and more kinds of data across more modes.

Machine Learning 260

Machine Learning Modeling Statistics Software 260

Data Virtualization

DECEMBER 8, 2022

Reading Time: 3 minutes While cleaning up our archive recently, I found an old article published in 1976 about data dictionary/directory systems (DD/DS). Nowadays, we no longer use the term DD/DS, but “data catalog” or simply “metadata system”. It was written by L.

Metadata 69

Metadata IT Data Integration Publishing 69

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

Cloudera

NOVEMBER 3, 2021

Have you ever asked a data scientist if they wanted their code to run faster? According to a poll in Kaggle’s State of Machine Learning and Data Science 2020 , A Convolutional Neural Network was the most popular deep learning algorithm used amongst polled individuals, but it was not even in the top 3. In fact only 43.2%

Deep Learning 116

Deep Learning Machine Learning Data Science Cost-Benefit 116

IBM Big Data Hub

JANUARY 17, 2023

A data lakehouse is an emerging data management architecture that improves efficiency and converges data warehouse and data lake capabilities driven by a need to improve efficiency and obtain critical insights faster. Let’s start with why data lakehouses are becoming increasingly important.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52