KDnuggets

APRIL 7, 2022

According to one source, the types of questions that will generally be asked in data scientist interviews can be broken down into five categories. Let's take a closer look.

Data Science 159

Data Science 159

Dataiku

OCTOBER 7, 2020

Reports of AI gone wrong abound, and Responsible AI has started to take a foothold in business — Gartner has even added Responsible AI as a new category on its Hype Cycle for Emerging Technologies. Yet when talking about solutions, increasing diversity and making data science a more inclusive field unfortunately don’t often top the list.

Data Science 105

Data Science Reporting Technology Analytics 105

Analytics Vidhya

APRIL 6, 2022

Introduction Exploratory Data Analysis is a method of evaluating or comprehending data in order to derive insights or key characteristics. EDA can be divided into two categories: graphical analysis and non-graphical analysis. EDA is a critical component of any data science or machine learning process.

Machine Learning 325

Machine Learning Data Science Analytics Visualization 325

Analytics Vidhya

APRIL 15, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. SUPERVISED LEARNING Before making you understand the broad category of. The post Understanding Supervised and Unsupervised Learning appeared first on Analytics Vidhya.

Data Science 361

Data Science Publishing Analytics Structured Data 361

Analytics Vidhya

JUNE 19, 2022

This article was published as a part of the Data Science Blogathon. Azure provides different categories of cloud services such as infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS), and serverless. Introduction on Microsoft Azure Microsoft Azure is a public cloud computing platform.

Data Science 289

Data Science Publishing Software Analytics 289

Data Science 101

DECEMBER 27, 2019

An intro to Azure FarmBeats An innovative idea to bring data science to farmers. It is called data-driven agriculture. It walks through classifying Yahoo Answers into different categories. If you would like to get the Cloud Data Science News as an email, you can sign up for the Cloud Data Science Newsletter.

Data Science 86

Data Science Deep Learning Data-driven IT 86

Analytics Vidhya

FEBRUARY 26, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data Augmentation (DA) Technique is a process that enables us to artificially increase training data size by generating different versions of real datasets without actually collecting the data.

Data Science 287

Data Science Publishing Analytics 287

Analytics Vidhya

NOVEMBER 29, 2021

This article was published as a part of the Data Science Blogathon. Introduction Consider the following scenario: you are a product manager who wants to categorize customer feedback into two categories: favorable and unfavorable.

Data Science 289

Data Science Publishing Management Analytics 289

Smart Data Collective

JUNE 4, 2021

What is data science? Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. These data models predict outcomes of new data. Where to start?

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

Analytics Vidhya

AUGUST 13, 2022

This article was published as a part of the Data Science Blogathon. The first task you do with each ticket is to classify it into one of the categories you […]. Introduction Suppose you are working in an IT firm as a support desk specialist and receive hundreds of support tickets you have to handle daily.

Data Science 223

Data Science Publishing Analytics IT 223

Analytics Vidhya

OCTOBER 26, 2021

This article was published as a part of the Data Science Blogathon Introduction Quite often we have a requirement to visualize categorical data in a dataset. The post How To Build A Treemap In 3 Ways Using Python appeared first on Analytics Vidhya.

Visualization 266

Visualization Data Science Publishing Analytics 266

Rocket-Powered Data Science

JULY 19, 2023

The criticality of these synergies becomes obvious when we recognize analytics as the products (the outputs and deliverables) of the data science and machine learning activities that are applied to enterprise data (the inputs).

Analytics 196

Analytics Data-driven Machine Learning Enterprise 196

Analytics Vidhya

JULY 1, 2022

This article was published as a part of the Data Science Blogathon. This is an extensive article on sentiment analysis where our task will be to classify a set of tweets into two categories: racist/sexist non-racist/sexist What is Sentiment Analysis? Sentiment analysis (also […].

Data Science 215

Data Science Publishing Analytics 215

Analytics Vidhya

MARCH 20, 2022

This article was published as a part of the Data Science Blogathon. Audio classification is an Application of machine learning where different sound is categorized in certain categories. Hello, and welcome to a wonderful article on audio classification.

Machine Learning 232

Machine Learning Data Science Publishing Modeling 232

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Usually, it is done to classify named entities mentioned in unstructured text into predefined categories. in a sentence. Named Entity Recognition(NER) has many […].

Data Science 226

Data Science Publishing Analytics IT 226

Analytics Vidhya

FEBRUARY 22, 2022

This article was published as a part of the Data Science Blogathon. Classification is a kind of technique where we classify the outcome into distinct categories whose range is usually finite. Introduction Every supervised machine learning technique basically solves either classification or regression problems.

Machine Learning 215

Machine Learning Data Science Publishing Analytics 215

Domino Data Lab

AUGUST 6, 2021

Data science is an incredibly complex field. Framing data science projects within the four steps of the data science lifecycle (DSLC) makes it much easier to manage limited resources and control timelines, while ensuring projects meet or exceed the business requirements they were designed for.

Data Science 75

Data Science Testing Modeling Publishing 75

CIO Business Intelligence

MARCH 9, 2022

Despite the worldwide chaos, UAE national airline Etihad has managed to generate productivity gains and cost savings from insights using data science. Etihad began its data science journey with the Cloudera Data Platform and moved its data to the cloud to set up a data lake. Reem Alaya Lebhar.

Data Science 95

Data Science Data Lake Cost-Benefit Digital Transformation 95

Data Science 101

MAY 20, 2019

You can get this information as the Microsoft Azure Data Scientist Checklist. Below is the basic structure of the DP-100: Designing and Implementing a Data Science Solution on Azure. Passing the exam will qualify you for the Azure Data Scientist Associate certification. There were a number of questions from this category.

Data Science 111

Data Science Machine Learning Deep Learning Testing 111

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

KDnuggets

JANUARY 6, 2020

Breaking into a career in Data Science can depend on where you start. See if you fit into one of these three categories of "newbies," and then find out how to make your professional transition into the field.

Data Science 64

Data Science Software 64

Domino Data Lab

JANUARY 24, 2019

In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Over the last couple years, it would be hard to blame anyone for being overwhelmed looking at the data science platform market landscape. Proprietary (often GUI-driven) data science platforms.

Data Science 65

Data Science Marketing Data-driven Statistics 65

bridgei2i

AUGUST 24, 2021

BRIDGEi2i Analytics Solutions, a trusted partner to enterprises globally, announced its inclusion in the ‘Leader’ category of the latest Penetration & Maturity Quadrant (PeMa) study conducted by Analytics India Magazine. Awards & Recognition News & Updates. www.BRIDGEi2i.com. BRIDGEi2i Analytics Solutions Contact.

Data Science 52

Data Science Reporting Contextual Data Consulting 52

Rocket-Powered Data Science

JULY 14, 2023

As I progressed in my career into management roles for enterprise data systems, I gained a deeper understanding and appreciation of the synergies and interdependencies between system and user requirements. Analytics products represent the user-facing and client-facing derived value from an organization’s data stores.

Analytics 165

Analytics Internet of Things Prescriptive Analytics Data Science 165

Jen Stirrup

MAY 2, 2019

The Awards recognizes the gold standard for Data Science & AI in Industry, Education and Social Responsibility and connects the Data Science community across Europe. The competition is open teams and individuals within the Data Science and AI community from across Europe. Check out the 2019 Categories.

Data Science 44

Data Science Sales Business Analytics Technology 44

Peter James Thomas

AUGUST 30, 2018

Based on Kaggle’s State of Data Science Survey 2017 (Sample size: 10,153). The text in the above exhibit is not that clear [2] , so here are the 20 top challenges [3] faced by those running Data Science teams in human-readable form: #. Dirty Data. Lack of Data Science talent in the organization.

Data Science 75

Data Science Data Quality Machine Learning Business Intelligence 75

Jen Stirrup

MAY 2, 2019

The Awards recognizes the gold standard for Data Science & AI in Industry, Education and Social Responsibility and connects the Data Science community across Europe. The competition is open teams and individuals within the Data Science and AI community from across Europe. Check out the 2019 Categories.

Data Science 40

Data Science Sales Business Analytics Technology 40

Ontotext

DECEMBER 15, 2023

Topics: Wikipedia Articles We use Wikipedia articles (and categories) as the core of our AI taxonomy. Wikipedia categories are used to classify articles, and to form a hierarchy. We use Categories as a way of finding relevant articles. categories and 29.2M And so the snowball rolls!

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

Business Over Broadway

DECEMBER 20, 2018

The importance of data science and machine learning continues to grow in business and beyond. I did my part this year to spread interest in data science to more people. Below are my top 10 blog posts of 2018: Favorite Data Science Blogs, Podcasts and Newsletters. Click image to enlarge.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

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. It required investments from our data science team to re-think our statistical forecasting approach to make it easier to compare against customer forecasts.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

DataRobot Blog

JULY 13, 2022

This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world. Watch the keynote and technical sessions on demand.

Machine Learning 105

Machine Learning Marketing Data Science Reporting 105

Rocket-Powered Data Science

FEBRUARY 15, 2023

A business-disruptive ChatGPT implementation definitely fits into this category: focus first on the MVP or MLP. These rules are not necessarily “Rocket Science” (despite the name of this blog site), but they are common business sense for most business-disruptive technology implementations in enterprises.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

The Unofficial Google Data Science Blog

AUGUST 31, 2016

By DAVID ADAMS Since inception, this blog has defined “data science” as inference derived from data too big to fit on a single computer. Thus the ability to manipulate big data is essential to our notion of data science. map and filter), and actions that cause the data to be reorganized (e.g.,

Data Science 66

Data Science Sales Optimization Cost-Benefit 66

David Menninger's Analyst Perspectives

MARCH 1, 2019

We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence.

Analytics 203

Analytics IT Business Intelligence ROI 203

DataKitchen

APRIL 13, 2021

Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Genie — Distributed big data orchestration service by Netflix. DevOps Infrastructure Tools.

Testing 307

Testing Machine Learning Consulting Data Quality 307

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 129

Data Architecture Data Warehouse Statistics Visualization 129

David Menninger's Analyst Perspectives

FEBRUARY 4, 2019

Drawing on our benchmark research, we apply a structured research methodology built on evaluation categories that are designed to reflect the real-world criteria incorporated in a request for proposal to vendors in analytics and business intelligence.

Business Intelligence 207

Business Intelligence Analytics ROI Software 207