Sun.Sep 05, 2021

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Posture Detection using PoseNet with Real-time Deep Learning project

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Deep learning is a subset of Machine Learning and Artificial Intelligence that imitates the way humans gain certain types of knowledge. It is essentially a neural network with three or more layers. deep-learning helps to solve many artificial intelligence applications that help improving […].

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Machine Learning Is A Critical Element of Modern SMS Marketing

Smart Data Collective

SMS marketing is one of the most widely used forms of marketing. It’s the process of sending customized messages to consumers to communicate updates, offers, and reminders using automated platforms. SMS marketing is also one of the cheapest marketing techniques, but one with high effectiveness, boasting an open rate of 98%. The unparalleled reach that it provides is due to the vast number of mobile users, which is expected to double—if not triple—in the coming years. (1).

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PCA And It’s Underlying Mathematical Principles

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In this article we will try to understand what PCA is all about, why do we need to perform PCA on a given dataset. We also look into the Mathematical Principles or the concepts underlying PCA and how these concepts help us in […]. The post PCA And It’s Underlying Mathematical Principles appeared first on Analytics Vidhya.

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Production Dashboard: Optimize Your Production And Manufacturing

FineReport

Due to the limitations of time and space, it is unrealistic for the management to visit amounts of enterprises’ workshops to grasp their dynamic production in real time. Under this situation, production dashboard seems vital for companies to command their manufacturing operations. What is a production dashboard? Production dashboard, also known as manufacturing dashboard, belongs to KPI dashboards but more targets on manufacturing indicators.

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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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10 Automated Machine Learning for Supervised Learning (Part 2)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction This post will discuss 10 Automated Machine Learning (autoML) packages that we can run in Python. If you are tired of running lots of Machine Learning algorithms just to find the best one, this post might be what you are looking for. This […]. The post 10 Automated Machine Learning for Supervised Learning (Part 2) appeared first on Analytics Vidhya.