#Data_Clustering
#Cellular_Automata
#Data_Mining

🔴Data clustering using a linear cellular automata-based algorithm
➖Neurocomputing, Volume 114, 19 August 2013, Pages 86–91

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@machinelearning_tuts
@autonomousvehicle

#Data_Mining
#Recommender_System

🔴The Application of Data-Mining to Recommender Systems
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@machinelearning_tuts
@autonomousvehicle

#Data_Mining
#Recommender_System

🔴Data Mining Methods for Recommender Systems
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@machinelearning_tuts
@autonomousvehicle

🔹What is Data Mining?
#Data_mining is a process of extracting the hidden #predictive information from the extensive database. Data mining is used by the organization to turn #raw_data into useful information.

link: https://statanalytica.com/data-mining-assignment-help

via: @cedeeplearning

🔹🔹 A Holistic Framework for Managing Data Analytics Projects

Agile project management for Data Science development continues to be an effective framework that enables flexibility and productivity in a field that can experience continuous changes in data and evolving stakeholder expectations. Learn more about the leading approaches for developing Data Science models, and apply them to your next project.

🔻The Data Science Delivery Process

Data science initiatives are project-oriented, so they have a defined start and end. The Cross-Industry Standard Process for Data Mining (CRISP-DM) is a high-level, extensible process that is an effective framework for data science projects.

Although the steps are shown in the general order in which they are executed, it is important to note that CRISP-DM, like the Agile software development process, is an iterative process framework. Each step can be revisited as many times as needed to refine problem understanding and results.
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📌Via: @cedeeplearning

https://www.kdnuggets.com/2020/05/framework-managing-data-analytics-projects.html

#Agile #CRISP_DM #Data_Analytics #Data_Management #Data_Mining #datascience #Decision_Management, #Development #Software Engineering