Introduction to Data Science and Machine Learning
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9781838803339, 9781838803346

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Best Practices in Accelerating the Data Science Process in Python

Introduction to Data Science and Machine Learning ◽

10.5772/intechopen.84784 ◽

2020 ◽

Author(s):

Deanne Larson

Keyword(s):

Best Practices ◽

Data Science

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Introductory Chapter: Clustering with Nature-Inspired Optimization Algorithms

Introduction to Data Science and Machine Learning ◽

10.5772/intechopen.91678 ◽

2020 ◽

Author(s):

Pakize Erdogmus ◽

Fatih Kayaalp

Keyword(s):

Optimization Algorithms

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The K-Means Algorithm Evolution

Introduction to Data Science and Machine Learning ◽

10.5772/intechopen.85447 ◽

2020 ◽

Author(s):

Joaquín Pérez-Ortega ◽

Nelva Nely Almanza-Ortega ◽

Andrea Vega-Villalobos ◽

Rodolfo Pazos-Rangel ◽

Crispín Zavala-Díaz ◽

...

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The Methodological Standard to the Assessment of the Traffic Simulation in Real Time

Introduction to Data Science and Machine Learning ◽

10.5772/intechopen.86961 ◽

2020 ◽

Author(s):

Jan Mrazek ◽

Martin Hromada ◽

Lucia Duricova Mrazkova

Keyword(s):

Real Time ◽

Traffic Simulation ◽

Methodological Standard

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Investigation of Fuzzy Inductive Modeling Method in Forecasting Problems

Introduction to Data Science and Machine Learning ◽

10.5772/intechopen.86348 ◽

2020 ◽

Author(s):

Yu. Zaychenko ◽

Helen Zaychenko

Keyword(s):

Modeling Method

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Serialization in Object-Oriented Programming Languages

Introduction to Data Science and Machine Learning ◽

10.5772/intechopen.86917 ◽

2020 ◽

Author(s):

Konrad Grochowski ◽

Michał Breiter ◽

Robert Nowak

Keyword(s):

Programming Languages ◽

Object Oriented ◽

Object Oriented Programming

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“Set of Strings” Framework for Big Data Modeling

Introduction to Data Science and Machine Learning ◽

10.5772/intechopen.85602 ◽

2020 ◽

Author(s):

Igor Sheremet

Keyword(s):

Big Data ◽

Data Modeling

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Software Design for Success

Introduction to Data Science and Machine Learning ◽

10.5772/intechopen.86538 ◽

2020 ◽

Author(s):

Laura M. Castro

Keyword(s):

Software Design

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Embedded Systems Based on Open Source Platforms

Introduction to Data Science and Machine Learning ◽

10.5772/intechopen.85806 ◽

2020 ◽

Cited By ~ 1

Author(s):

Zlatko Bundalo ◽

Dusanka Bundalo

Keyword(s):

Embedded Systems ◽

Open Source

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Segmenting Images Using Hybridization of K-Means and Fuzzy C-Means Algorithms

Introduction to Data Science and Machine Learning ◽

10.5772/intechopen.86374 ◽

2020 ◽

Author(s):

Raja Kishor Duggirala

Keyword(s):

Fuzzy C Means

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Introduction to Data Science and Machine LearningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Intechopen

Best Practices in Accelerating the Data Science Process in Python

Introductory Chapter: Clustering with Nature-Inspired Optimization Algorithms

The K-Means Algorithm Evolution

The Methodological Standard to the Assessment of the Traffic Simulation in Real Time

Investigation of Fuzzy Inductive Modeling Method in Forecasting Problems

Serialization in Object-Oriented Programming Languages

“Set of Strings” Framework for Big Data Modeling

Software Design for Success

Embedded Systems Based on Open Source Platforms

Segmenting Images Using Hybridization of K-Means and Fuzzy C-Means Algorithms

Introduction to Data Science and Machine Learning
Latest Publications