Fri.Nov 27, 2020

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The Key Concept of Scrum in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data is everywhere these days. Human beings have been sensing, processing, The post The Key Concept of Scrum in Machine Learning appeared first on Analytics Vidhya.

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BRIDGEi2i Infographics on Spread of Covid-19 in NYC

bridgei2i

The_Spread_of_Covid19_in_New_York_City_Infographics. The post BRIDGEi2i Infographics on Spread of Covid-19 in NYC appeared first on Home Page – BRIDGEi2i: AI for the Digital Enterprise | Analytics and AI solutions for Enterprises.

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Understanding Naïve Bayes and Support Vector Machine and their implementation in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this digital world, spam is the most troublesome challenge that. The post Understanding Naïve Bayes and Support Vector Machine and their implementation in Python appeared first on Analytics Vidhya.

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Sales & Underwriting Automation using AI: BRIDGEi2i Infographic

bridgei2i

The post Sales & Underwriting Automation using AI: BRIDGEi2i Infographic appeared first on Home Page – BRIDGEi2i: AI for the Digital Enterprise | Analytics and AI solutions for Enterprises.

Sales 52
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Get Better Network Graphs & Save Analysts Time

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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Data Exploration with the dtale Library in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data Analysis is the most essential part of any data science. The post Data Exploration with the dtale Library in Python appeared first on Analytics Vidhya.

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BRIDGEi2i Infographics on Spread of Covid-19 in NYC

bridgei2i

The_Spread_of_Covid19_in_New_York_City_Infographics. The post BRIDGEi2i Infographics on Spread of Covid-19 in NYC appeared first on Home Page – BRIDGEi2i: AI for the Digital Enterprise | Analytics and AI solutions for Enterprises.

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Sales & Underwriting Automation using AI: BRIDGEi2i Infographic

bridgei2i

The post Sales & Underwriting Automation using AI: BRIDGEi2i Infographic appeared first on Home Page – BRIDGEi2i: AI for the Digital Enterprise | Analytics and AI solutions for Enterprises.

Sales 52
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A Quick Guide to Text Cleaning Using the nltk Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction NLTK is a string processing library that takes strings as input. The post A Quick Guide to Text Cleaning Using the nltk Library appeared first on Analytics Vidhya.

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What Does a Chief Data Scientist Do?

Dataiku

The Chief Data Scientist sits at a unique crossroads between the data science team and the rest of the C-suite and senior management. As a result, the Chief Data Scientist needs to be able to bridge the gap between business objectives (from initial strategy planning to reporting on KPIs) and data projects. In this article, we highlight some of the additional skill sets necessary to become a Chief Data Scientist, as well as primary responsibilities of those inhabiting the role.

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Kaggle Grandmaster Series – Competitions Grandmaster and Rank #9 Dmitry Gordeev’s Phenomenal Journey!

Analytics Vidhya

Welcome back to the Kaggle Grandmaster Series! “I must admit it (Kaggle Competitions) made a huge impact on my career. It was the key. The post Kaggle Grandmaster Series – Competitions Grandmaster and Rank #9 Dmitry Gordeev’s Phenomenal Journey! appeared first on Analytics Vidhya.

Analytics 271
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Understanding User Needs and Satisfying Them

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.

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Use Iterators, Generators, and Generator Expressions

MLWhiz

Python in many ways has made our life easier when it comes to programming.

IT 52
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How AI Accelerators can Help Manage After-sales Customer Experience

bridgei2i

How AI Accelerators can Help Manage After-sales Customer Experience. The post How AI Accelerators can Help Manage After-sales Customer Experience appeared first on Home Page – BRIDGEi2i: AI for the Digital Enterprise | Analytics and AI solutions for Enterprises.

Sales 97
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How AI Accelerators can Help Manage After-sales Customer Experience

bridgei2i

How AI Accelerators can Help Manage After-sales Customer Experience. The post How AI Accelerators can Help Manage After-sales Customer Experience appeared first on Home Page – BRIDGEi2i: AI for the Digital Enterprise | Analytics and AI solutions for Enterprises.

Sales 52