„PySP“

Suchergebnisse

1.000+ Treffer

• The PyPIF5-PymiR156a-PySPL9-PyMYB114/MYB10 module regulates light-induced anthocyanin biosynthesis in red pear
  Liu, Hainan ; Shu, Qun ; Lin-Wang, Kui ; Allan, Andrew C. ; Espley, Richard V. ; Su, Jun ; Pei, Maosong ; Wu, Jun
• Generalizing, Decoding, and Optimizing Support Vector Machine Classification
  Krell, Mario Michael ; Kirchner, Frank ; Büskens, Christof 2015 Staats- und Universitätsbibliothek Bremen
• DEDDR: early detection of diabetic retinopathy from widefield and fundus images using pyspark framework
  Kotiyal, Bina ; Pathak, Heman
• Pyomo — Optimization Modeling in Python
  Hart, William E. ; Laird, Carl D. ; Watson, Jean-Paul ; Woodruff, David L. ; Hackebeil, Gabriel A. ; Nicholson, Bethany L. ; Siirola, John D. 2017 Springer International Publishing
• Applied Data Science Using PySpark – Learn the End-to-End Predictive Model-Building Cycle
  Kakarla, Ramcharan ; Krishnan, Sundar ; Dhamodharan, Balaji ; Gunnu, Venkata 2024 Apress, Imprint: Apress
• Machine Learning with PySpark – With Natural Language Processing and Recommender Systems
  2022 Apress
• Pyomo — Optimization Modeling in Python
  2021 Springer International Publishing
• Machine Learning with PySpark – With Natural Language Processing and Recommender Systems
  2019 Apress
• PySpark Recipes – A Problem-Solution Approach with PySpark2
  2018 Apress
• Pyomo – Optimization Modeling in Python
  Hart, William E. ; Laird, Carl D. 2012 Springer US
• Pyšpot procha – = In Sand und Wolken geschrieben
  Źilka 2023 Ludowe nakładnistwo Domowina
• CYPBL: Crop Yield Prediction using Bi-Directional LSTM under PySpark interface
  Chaudhary, Yashi ; Pathak, Heman
• Fuzzy K-Means with M-KMP: a security framework in pyspark environment for intrusion detection
  Begum, Gousiya ; Ul Huq, S. Zahoor ; Kumar, A. P. Siva
• Distributed Machine Learning with PySpark – Migrating Effortlessly from Pandas and Scikit-Learn
  2023 Apress
• PySpark and RDKit: Moving towards Big Data in Cheminformatics
  Lovrić, Mario ; Molero, José Manuel ; Kern, Roman
• Data Science Solutions with Python – Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn
  2022 Apress
• Applied Data Science Using PySpark – Learn the End-to-End Predictive Model-Building Cycle
  2021 Apress
• Learn PySpark – Build Python-based Machine Learning and Deep Learning Models
  2019 Apress
• PySpark SQL Recipes – With HiveQL, Dataframe and Graphframes
  2019 Apress
• Generalizing, decoding, and optimizing support vector machine classification
  Krell, Mario Michael