Sat.Apr 23, 2022

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Face detection using the Caffe model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this section, we will build a face detection algorithm using Caffe model, but only OpenCV is not involved this time. Instead, along with the computer vision techniques, deep learning skills will also be required, i.e. We will use the deep learning […]. The post Face detection using the Caffe model appeared first on Analytics Vidhya.

Modeling 400
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Data Analytics Technology is Positively Disrupting the World of Sports

Smart Data Collective

In recent years, organized sports have been steadily changed by big data. The news programs and sports updates shown on television have been made to be more entertaining, partly because of research conducted and the information analyzed. This information is usually gained from viewers and the wider public. More sports companies are likely to invest in big data in the future.

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Introduction to SQL for Data Engineering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be looking for a very common yet very important topic i.e. SQL also pronounced as Ess-cue-ell. So this time I’ll be answering some of the factual questions about SQL which every beginner needs to know before getting […]. The post Introduction to SQL for Data Engineering appeared first on Analytics Vidhya.

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Daphne Jones: Envision a new career destiny

CIO Business Intelligence

To this day, Daphne Jones remembers the high school guidance counselor who told her she would never get into college—or if she did, would never graduate. ”Black girls just don’t make it in college, he told me,” says this renowned C-suite technology leader and board director. “He had my destiny all locked up.”. If only that misguided counselor could see Jones today (college degree and MBA achieved long ago).

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Spark Data Streaming with MongoDB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to talk about data streaming with apache spark in Python with codes. We will also talk about how to persist our streaming data into MongoDB.We have already covered the basics of Pyspark in the last article […]. The post Spark Data Streaming with MongoDB appeared first on Analytics Vidhya.

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When Should You Implement a Data Lineage Process in Your Organization?

Octopai

Answer: yesterday. If, however, your organization lacks the funds for a time machine (along with the funds for unlimited data intelligence solutions), here are our top four picks for the situations in which you should prioritize initiating a data lineage process. You’re planning a data system migration. Are you leaving behind Oracle for Azure Data Factory, SQL Server for Snowflake or SSRS for Power BI?