Introduction to Data Science and Machine Learning
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 12)

H-INDEX

(FIVE YEARS 1)

Published By Intechopen

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