Cloudera

NOVEMBER 15, 2021

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. If you’ve ever wondered how much data there is in the world, what types there are and what that means for AI and businesses, then keep reading! Quantifications of data.

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Unstructured Data Recreation/Entertainment Structured Data Reporting 85

Analytics Vidhya

NOVEMBER 15, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, you will learn how to build a face-recognition system using Python. Face recognition is a step further to face detection. In face detection, we only detect the location of the human face in an image but in face recognition, we […]. The post Build Face Recognition Attendance System using Python appeared first on Analytics Vidhya.

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Data Science Publishing Analytics 400

KDnuggets

NOVEMBER 15, 2021

This article features 19 data science projects for beginners, categorized into 7 full project tutorials, 5 places to come up with your own data science projects using data, and 7 skills-based data science projects.

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Data Science 123

Analytics Vidhya

NOVEMBER 15, 2021

This article was published as a part of the Data Science Blogathon Table of Contents Introduction About the Dataset Let’s Go 2D Scatter Plot 3D Scatter Plot Pair Plot Histogram Univariate Analysis using PDF CDF Mean, Variance, and Standard Deviation Median, Percentile, Quantile, IQR, MAD Box Plot Violin Plot Multivariate Probability Density Contour Plot Final Note […].

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

KDnuggets

NOVEMBER 15, 2021

NVIDIA, the pioneer in the GPU technologies and deep learning revolution, has come up with an excellent catalog of specialized containers that they call NGC Collections. In this article, we explore their basic usage and some variations.

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Analytics Vidhya

NOVEMBER 15, 2021

Internships, uh?!! Such a stunning word for one of the most difficult tasks. In every industry, there exists a disparity when it comes to internships opportunities and getting into one. Especially in this era where competition is at its peak and opportunities for freshers close to nil. With the data industry evolving and becoming more […]. The post Analytics Vidhya Presents INTERN-A-THON: Your First Step to Enter the Data Science World appeared first on Analytics Vidhya.

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Analytics Vidhya

NOVEMBER 15, 2021

The world is back to normal. The horrifying pandemic that hit humanity in early 2020 is almost history. With most of the world vaccinated and back on its foot, the demand for highly skilled professionals is on the rise. Not only that, but these offers are now coming with amazing compensation and benefits. And Yes!!! […]. The post Analytics Vidhya Presents JOB-A-THON – Your Chance to Enter the Post-Pandemic Data Science World appeared first on Analytics Vidhya.

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KDnuggets

NOVEMBER 15, 2021

The October blogs that won KDnuggets Rewards include: How I Tripled My Income With Data Science in 18 Months; What Google Recommends You do Before Taking Their Machine Learning or Data Science Course; How to Build Strong Data Science Portfolio as a Beginner; Data Scientist vs Data Engineer Salary.

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Machine Learning Data Science 99

Analytics Vidhya

NOVEMBER 15, 2021

This article was published as a part of the Data Science Blogathon Bow to the might of NLP. There is no denying the power and evolution we have witnessed in the field of Natural Language Processing and what further advancements we will have the fortune to witness, learn, and implement. NLP is used in a wide […]. The post NLP – Tags, Frequencies, Unique Terms, n-grams appeared first on Analytics Vidhya.

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KDnuggets

NOVEMBER 15, 2021

This article features 19 data science projects for beginners, categorized into 7 full project tutorials, 5 places to come up with your own data science projects using data, and 7 skills-based data science projects.

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Data Science 83

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Alation

NOVEMBER 15, 2021

Most people close to data management are aware of the EDM Council. This highly respected standards & training organization was “created to elevate the practice of data management as a business and operational priority.” As an important standards body, they developed one of the only assessment models. The Data Management Capability Assessment Method (DCAM) framework is used to pressure-test data management procedures and demonstrate good practices to regulators.

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Management Testing Metadata Consulting 52

KDnuggets

NOVEMBER 15, 2021

Learn how to level up your Data Pipelines!

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Jen Stirrup

NOVEMBER 15, 2021

I’ll be online on 1.15pm until 2pm GMT on Tuesday 16th November in my Orbital Galaxy online virtual co-working area. I’m setting aside the time to write abstracts and get my stuff together to make presentation submissions. These activities involve writing and updating my bio, sorting out my photos, and any other supporting pieces of information.

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IT 44

KDnuggets

NOVEMBER 15, 2021

Also: Data Scientist Career Path from Novice to First Job; Design Patterns for Machine Learning Pipelines; What Google Recommends You do Before Taking Their Machine Learning or Data Science Course; Salary Breakdown of the Top Data Science Jobs.

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

FineReport

NOVEMBER 15, 2021

1.Definition of a Metrics Dashboard. A metrics dashboard is a tool that collects, integrates and displays key performance indicators in a single place in order to analyze marketing, project quality status or other business efforts in real-time. Then you could take wise actions based on the information. 2. Metrics Dashboard Examples. 2.1 Sales metrics dashboard.

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KDnuggets

NOVEMBER 15, 2021

The October blogs that won KDnuggets Rewards include: How I Tripled My Income With Data Science in 18 Months; What Google Recommends You do Before Taking Their Machine Learning or Data Science Course; How to Build Strong Data Science Portfolio as a Beginner; Data Scientist vs Data Engineer Salary.

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Machine Learning Data Science 59

DataRobot

NOVEMBER 15, 2021

Today, we announced DataRobot AI Cloud for Industries , a comprehensive solution that unites AI capabilities and best practices, integrations, and expanded partnerships for major industries. Leveraging our deep expertise working with many of the largest and most successful organizations in the world, including a third of the Fortune 50, DataRobot AI Cloud for Industries extends AI Cloud with tailored solutions for banks, healthcare companies, manufacturers and retailers to transform their operat

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KDnuggets

NOVEMBER 15, 2021

NVIDIA, the pioneer in the GPU technologies and deep learning revolution, has come up with an excellent catalog of specialized containers that they call NGC Collections. In this article, we explore their basic usage and some variations.

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Deep Learning Technology 51

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

Jet Global

NOVEMBER 15, 2021

What is a Tax KPI? A Tax Key Performance Indicator (KPI) or metric is a clearly defined quantifiable measure that an organization, or business, uses to measure the success of its Tax Function over time. Since every organization has its own manner of operation, the KPIs or metrics used for tax will vary from one organization to another. For an organization to be successful in their tax function, they need to evaluate the performance of their tax function using a variety of KPIs and metrics, rangi

Metrics 52

Metrics Reporting KPI Risk Management 52

KDnuggets

NOVEMBER 15, 2021

Also: Data Scientist Career Path from Novice to First Job; Design Patterns for Machine Learning Pipelines; What Google Recommends You do Before Taking Their Machine Learning or Data Science Course; Salary Breakdown of the Top Data Science Jobs.

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Data Science Machine Learning 46

KDnuggets

NOVEMBER 15, 2021

Learn how to level up your Data Pipelines!

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