Thu.Sep 02, 2021

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Searching in Data Structure – Different Search Methods Explained

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In today’s world, the communication network is expanding at a very fast rate. Businesses are going digital to improve management efficiency. The amount of data generated on the internet is increasing, and as a result, datasets are becoming more complex. It is important […].

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EX is the New CX

Rocket-Powered Data Science

(This article is a continuation of my earlier article “ When the Voice of the Customer Actually Talks.”). I recently attended (virtually) CX Summit 2021 , presented by Five9 , which focused on “CX Reimagined.” At first this title for the event seemed a bit grandiose to me – Reimagined! After attending the event, I now think the title was perfect, and it could have gone even further.

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Unit Test framework and Test Driven Development (TDD) in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Running data projects takes a lot of time. Poor data results in poor judgments. Running unit tests in data science and data engineering projects assures data quality. You know your code does what you want it to do. Table of content Introduction […]. The post Unit Test framework and Test Driven Development (TDD) in Python appeared first on Analytics Vidhya.

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Speech Emotion Recognition Using Deep Learning

Dataiku

In this rapidly advancing AI world, human computer interactions (HCI) are of extreme importance. We live in a world where Siri and Alexa are physically closer to us than other humans. Soon the world will get more populated with physical and virtual service robots to accomplish tasks that range from caring for the elderly to assessing the effectiveness of your marketing campaign.

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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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PyPDF2 Library for Working with PDF Files in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction PDF stands for Portable Document Format. It uses.pdf extension. This type of file is mostly used for sharing purposes. They cannot be modified, thereby preserving the formatting of the file intact. Hence they can be easily shared and downloaded. They are meant for reading […].

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Big Data Holds the Key to Television and Online Video Production

Smart Data Collective

Hacker Moon published an article talking about the ways that AI and big data are changing the future of the video production industry. Both television and online media outlets are benefiting from these advances. Connectivity and computing power have improved dramatically in recent years. This has made big data accessible to more and more industries.

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More Trending

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Optimizing Cloudera Data Engineering Autoscaling Performance

Cloudera

The shift to cloud has been accelerating, and with it, a push to modernize data pipelines that fuel key applications. That is why cloud native solutions which take advantage of the capabilities such as disaggregated storage & compute, elasticity, and containerization are more paramount than ever. At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges.

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Natural Language Processing Using CNNs for Sentence Classification

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Sentence classification is one of the simplest NLP tasks that have a wide range of applications including document classification, spam filtering, and sentiment analysis. A sentence is classified into a class in sentence classification. A question database will be used for this article and […].

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Dataiku Presents: The History of Data Science

Dataiku

After collaborating across several teams with dozens of Dataikers over the past year, we are proud to announce our latest online experience: History of Data Science ! From the pioneers who led the way in the beginning ages of science and mathematics to modern innovators, historyofdatascience.com features the heroes of data science who have shaped the way we live and think today.

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The Pandemic, Cloud Adoption, and the Future

Data Virtualization

The pandemic caused considerable disruption, but as a result, it also accelerated cloud adoption. As we moved towards remote working and switched to online customer interactions, it became clear that the cloud was more than just a “nice to have,”. The post The Pandemic, Cloud Adoption, and the Future appeared first on Data Virtualization blog.

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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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Why DataRobot Is Topping the Leaderboard

DataRobot

The baseball season is in full swing, overflowing with excitement for teams hoping to get onto the top of the leaderboard and play through the postseason. It’s been an honor to have worked with some epic teams in baseball (and some not-so-amazing teams) over the decades. The passion of being a member of the front office of a Major League Baseball franchise permeates everything.

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Investing in Data Solutions To Streamline Your Retail Business

Smart Data Collective

New advances in data analytics and data mining tools have been incredibly important in many organizations. We have talked extensively about the benefits of using data technology in the context of marketing and finance. However, big data can also be invaluable when it comes to operations management as well. The retail sector, in particular, can benefit immensely from a shift towards a data-driven business model.

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