Remove video-tutorials
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Step-by-Step Deep Learning Tutorial to Build your own Video Classification Model

Analytics Vidhya

Overview Learn how you can use computer vision and deep learning techniques to work with video data We will build our own video classification. The post Step-by-Step Deep Learning Tutorial to Build your own Video Classification Model appeared first on Analytics Vidhya.

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“Do More with R” video tutorials

CIO Business Intelligence

Search for R video tutorials by task, topic, or package. Most videos are shorter than 10 minutes

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Learn about data governance with these books, videos, and tutorials

O'Reilly on Data

Continue reading Learn about data governance with these books, videos, and tutorials. Whether you’re just getting started with data governance or you have previous experience, you’ll find something useful on this list of data governance resources. The items on this list were curated by O’Reilly’s editorial experts.

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A Beginner’s Guide to Context Manager

Analytics Vidhya

Introduction When we watch youtube videos or any tutorial about data analysis, we see that the context manager is mainly used in reading or writing some texts from a file so that we don’t have to write the code for closing the file whenever […]. This article was published as a part of the Data Science Blogathon.

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The Only Free Course You Need To Become a Professional Data Engineer

KDnuggets

Data Engineering ZoomCamp offers free access to reading materials, video tutorials, assignments, homeworks, projects, and workshops.

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Trim Videos with Deep Learning!

Analytics Vidhya

INTRODUCTION Hi, in this tutorial, we are going to have a. The post Trim Videos with Deep Learning! ArticleVideos This article was published as a part of the Data Science Blogathon. appeared first on Analytics Vidhya.

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Asynchronous Loading of Large Datasets in Tensorflow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction There are many tutorials and video lectures on the Web, and other materials discussing the basic principles of building neural networks, their architecture, learning strategies, etc.