Cover Image

Implementation of machine learning algorithms using control-flow and dataflow paradigms /

Bibliographic Details
Main Author:	MilutinovicÌ?, Veljko (Author)
Corporate Author:	IGI Global Online
Format:	eBook
Language:	English
Published:	Hershey, PA : IGI Global, Engineering Science Reference (an imprint of IGI Global), [2022]
Series:	Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series.
Subjects:	Data mining. Algorithms. Machine learning. Data flow computing. Electronic books.
Online Access:	Connect to the full text of this electronic book

Similar Items

Data cleaning and exploration with machine learning : get to grips with machine learning techniques to achieve sparkling-clean data quickly /
by: Walker, Michael
Published: (2022)

Werde ein Data Head : Data Science, Machine Learning und Statisik verstehen und datenintensive Jobs meistern /
by: Gutman, Alex J., et al.
Published: (2022)

Learning to Learn /
by: Thrun, Sebastian
Published: (1998)

Building Data Science Solutions with Anaconda : a Comprehensive Starter Guide to Building Robust and Complete Models /
by: Meador, Dan
Published: (2022)

Becoming a data head : how to think, speak, and understand data science, statistics, and machine learning /
by: Gutman, Alex J., et al.
Published: (2021)

Merkmalskonstruktion für Machine Learning : Prinzipien und Techniken der Datenaufbereitung /
by: Zheng, Alice, et al.
Published: (2019)

Data mining and machine learning applications /
Published: (2022)

Machine learning : a constraint-based approach /
by: Gori, Marco
Published: (2017)

Praxiseinstieg Machine Learning mit Scikit-Learn und TensorFlow : Konzepte, Tools und Techniken für intelligente Systeme /
by: Raschka, Sebastian
Published: (2018)

Python shu ju ke xue.
Published: (2019)

Advanced data analytics using Python : with architectural patterns, text and image classification, and optimization techniques /
by: Mukhopadhyay, Sayan, et al.
Published: (2023)

Productive and efficient data science with Python : with modularizing, memory profiles, and parallel/GPU processing /
by: Sarkar, Tirthajyoti
Published: (2022)

Algorithms and models for the web-graph : third international workshop, WAW 2004, Rome, Italy, October 16, 2004 : proceedings /
Published: (2004)

Practical machine learning for data analysis using python /
by: Subasi, Abdulhamit
Published: (2020)

Artificial neural networks : learning algorithms, performance evaluation, and applications /
by: Karayiannis, N. B. (Nicolaos B.), 1960-
Published: (2011)

Hands-on machine learning with Microsoft Excel 2019 : build complete data analysis flows, from data collection to visualization /
by: Martino, Julio Cesar Rodriguez
Published: (2019)

Genetic algorithms for machine learning /
Published: (1994)

Lazy learning /
Published: (1997)

Jing tong ji qi xue xi : shi yong Python = Introduction to machine learning with Python /
by: Müller, Andreas C., et al.
Published: (2017)

Machine Learning mit Python und Scikit-learn und TensorFlow : das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics /
by: Raschka, Sebastian, et al.
Published: (2018)

Personalized machine learning /
by: McAuley, Julian
Published: (2022)

MACHINE LEARNING TECHNIQUES FOR TEXT apply modern Python for text processing, dimensionality reduction, classification, and evaluation /
by: Tsourakis, Nikos
Published: (2022)

Building an effective data science practice a framework to bootstrap and manage a successful data science practice /
by: Raina, Vineet, et al.
Published: (2022)

Deep learning on graphs /
by: Ma, Yao, et al.
Published: (2021)

Intelligent data analysis for real-life applications : theory and practice /
Published: (2012)

Knowledge discovery from data streams /
by: Gama, João
Published: (2010)

Algorithms and data structures for massive datasets /
by: Medjedovic, Dzejla, et al.
Published: (2022)

Algorithms and data structures for massive datasets /
by: Medjedovic, Dzejla, et al.
Published: (2022)

Algorithms and data structures for massive datasets.
Published: (2022)

Algorithms and data structures for massive datasets /
by: Medjedovic, Dzejla, et al.
Published: (2022)

Ji qi xue xi she ji mo shi = Machine learning design patterns /
by: Lakshmanan, Valliappa, et al.
Published: (2022)

Kikai gakushū dezain patān : dēta junbi, moderu kōchiku, MLOps no jissenjō no mondai to kaiketsu /
by: Lakshmanan, Valliappa, et al.
Published: (2021)

The Kaggle book : data analysis and machine learning for competitive data science /
by: Banachewicz, Konrad, et al.
Published: (2022)

Knowledge discovery with support vector machines /
by: Hamel, Lutz
Published: (2009)

Machine learning and data mining in pattern recognition : second international workshop, MLDM 2001, Leipzig, Germany, July 25-27, 2001, proceedings /
Published: (2001)

Nyūmon kikai gakushū paipurain : TensorFlow de manabu wāku furō no jidōka /
by: Hapke, Hannes Max, et al.
Published: (2021)

Jissen AWS dēta saiensu : endo tsū endo no MLOps paipurain jissō /
by: Fregly, Chris, et al.
Published: (2021)

Practical machine learning for data analysis using python /
by: Subasi, Abdulhamit
Published: (2020)

Machine learning and data mining in pattern recognition : first international workshop, MLDM'99, Leipzig, Germany, September 16-18, 1999, proceedings /
Published: (1999)

Data mining and statistical analysis using SQL /
by: Trueblood, Robert P., et al.
Published: (2005)