Treffer 121 - 140 von 642

121

Random Forests
Singh, Pramod ; Singh, Pramod
Machine Learning with PySpark : With Natural Language Processing and Recommender Systems. :99-122

E-Book
122

Spark Structured Streaming
Singh, Pramod ; Singh, Pramod
Learn PySpark : Build Python-based Machine Learning and Deep Learning Models. :49-65

E-Book
123

Airflow
Singh, Pramod ; Singh, Pramod
Learn PySpark : Build Python-based Machine Learning and Deep Learning Models. :67-84

E-Book
124

Introduction to Spark
Singh, Pramod ; Singh, Pramod
Learn PySpark : Build Python-based Machine Learning and Deep Learning Models. :1-16

E-Book
125

Clustering
Singh, Pramod ; Singh, Pramod
Machine Learning with PySpark : With Natural Language Processing and Recommender Systems. :159-190

E-Book
126

Recommender Systems
Singh, Pramod ; Singh, Pramod
Machine Learning with PySpark : With Natural Language Processing and Recommender Systems. :123-157

E-Book
127

Evolution of Data
Singh, Pramod ; Singh, Pramod
Machine Learning with PySpark : With Natural Language Processing and Recommender Systems. :1-10

E-Book
128

Development of General and Data-Driven Machine Learning System for Quality Prediction on Manufacturing Lines
Chen, Wei-Hung ; Lin, Jun-Lin ; Ha, Nhu-Hang ; et al.
2025 IEEE International Conference on Computation, Big-Data and Engineering (ICCBE) Computation, Big-Data and Engineering (ICCBE), 2025 IEEE International Conference on. :424-429 Jun, 2025

Konferenz
129

Big Data, Machine Learning, and Deep Learning Frameworks
Nokeri, Tshepo Chris ; Nokeri, Tshepo Chris
Data Science Solutions with Python : Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn. :7-14

E-Book
131

AI-Driven Intelligent Attack Detection for IoT Networks Using Big Data and Machine Learning
Gaurav, Akshat ; Attar, Razaz Waheeb ; Arya, Varsha ; et al.
ICC 2025 - IEEE International Conference on Communications Communications, ICC 2025 - IEEE International Conference on. :2599-2604 Jun, 2025

Konferenz
132

Large-Scale Music Genre Analysis and Classification Using Machine Learning with Apache Spark
Chaudhury, M. ; Karami, A. ; Ghazanfar, M. A.

music genre Apache Spark PySpark machine learning exploratory data analysi...
Fachzeitschrift
133

Classification of Breast Cancer Using Spark Machine Learning
Krotha, Durga Pujitha ; Shaik, Fathimabi ; Li, Gang, Series Editor ; et al.
Advanced Network Technologies and Computational Intelligence : First International Conference, ICANTCI 2024, Punjab, India, April 5–6, 2024, Proceedings, Part II. 2383:98-111

E-Book
134

Exploring Machine Learning
Nokeri, Tshepo Chris ; Nokeri, Tshepo Chris
Data Science Solutions with Python : Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn. :1-5

E-Book
135

Automating the Machine Learning Process with H2O
Nokeri, Tshepo Chris ; Nokeri, Tshepo Chris
Data Science Solutions with Python : Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn. :111-116

E-Book
136

The State-of-the-art Machine Learning In Prediction Covid-19 Fatality Cases
Maleerat Maliyaem ; Nguyen Minh Tuan
Global Journal of Computer Science and Technology; Vol. 22 No. B1 (2022): GJCST-B Cloud & Distributed: Volume 22 Issue B1; 57-63 ; 0975-4172 ; 0975-4350

pyspark machine learning Naïve bayes fatality covid-19
Fachzeitschrift
137

Using Machine Learning with Pyspark for Solving a Big Data Problem: Searching for Particles in High Energy Physics with Big Mass (HEPMASS)
Azhari, Mourad ; Ahaji, Khalid ; Abarda, Abdallah ; et al.
Innovations in Smart Cities Applications Volume 6 ; Lecture Notes in Networks and Systems ; page 572-579 ; ISSN 2367-3370 2367-3389 ; ISBN 9783031268519 9783031268526

Buch
138

Suicide: An Analysis and Prediction Using Pyspark and Machine Learning Models
Akhila, Pujala ; R, Priyadarshini ; Thomas, Beryl Abey ; et al.
2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE) ; page 1-6

Konferenz
139

SparkKG-ML: A Library to Facilitate End–to–End Large–Scale Machine Learning Over Knowledge Graphs in Python
Gergin, Bedirhan ; Chelmis, Charalampos ; Goos, Gerhard, Series Editor ; et al.
The Semantic Web – ISWC 2024 : 23rd International Semantic Web Conference, Baltimore, MD, USA, November 11–15, 2024, Proceedings, Part III. 15233:3-19

E-Book
140

Big Data-Driven Distributed Machine Learning for Scalable Credit Card Fraud Detection Using PySpark, XGBoost, and CatBoost.
Theodorakopoulos, Leonidas ; Theodoropoulou, Alexandra ; Tsimakis, Anastasios ; et al.
Electronics (2079-9292); May2025, Vol. 14 Issue 9, p1754, 32p

CREDIT card fraud MACHINE learning FRAUD investigation DISTRIBUTED computing RANDOM forest algorithms
Fachzeitschrift

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