Machine learning upgrade : a data scientist's guide to MLOps, LLMs, and ML Infrastructure /
From experts in the field comes Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure, a book that provides data scientists and managers with best practices at the intersection of management, large language models (LLMs), machine learning, and data science. Th...
| Main Authors: | Kehrer, Kristen (Author), Kaiser, Caleb (Author) |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, New Jersey :
John Wiley & Sons, Inc.,
[2024]
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Similar Items
Machine Learning and Big Data-enabled Biotechnology /
Published: (2026)
Published: (2026)
Machine learning and big data : concepts, algorithms, tools and applications /
Published: (2020)
Published: (2020)
Machine intelligence, big data analytics, and IoT in image processing : practical applications /
Published: (2023)
Published: (2023)
Kikai gakushū dezain patān : dēta junbi, moderu kōchiku, MLOps no jissenjō no mondai to kaiketsu /
by: Lakshmanan, Valliappa, et al.
Published: (2021)
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)
by: Banachewicz, Konrad, et al.
Published: (2022)
Advanced analytics and deep learning models /
Published: (2022)
Published: (2022)
Ji qi xue xi she ji mo shi = Machine learning design patterns /
by: Lakshmanan, Valliappa, et al.
Published: (2022)
by: Lakshmanan, Valliappa, et al.
Published: (2022)
Deep learning : from big data to artificial intelligence with R /
by: Tuffery, Stéphane
Published: (2023)
by: Tuffery, Stéphane
Published: (2023)
Stochastic optimization for large-scale machine learning /
by: Chauhan, Vinod Kumar
Published: (2022)
by: Chauhan, Vinod Kumar
Published: (2022)
Machine intelligence, big data analytics, and IoT in image processing : practical applications /
Published: (2023)
Published: (2023)
Keras to Kubernetes : the journey of a machine learning model to production /
by: Rao, Dattaraj
Published: (2019)
by: Rao, Dattaraj
Published: (2019)
Machine learning and data mining : methods and applications /
Published: (1998)
Published: (1998)
Machine learning and data science : fundamentals and applications /
Published: (2022)
Published: (2022)
Hands-on Scikit-Learn for Machine Learning Applications : Data Science Fundamentals with Python /
by: Paper, David
Published: (2020)
by: Paper, David
Published: (2020)
Advanced analytics and deep learning models /
Published: (2022)
Published: (2022)
Machine learning : proceedings of the ninth international workshop (ML92) /
Published: (1992)
Published: (1992)
Machine Learning for Auditors : Automating Fraud Investigations Through Artificial Intelligence /
by: Sekar, Maris
Published: (2022)
by: Sekar, Maris
Published: (2022)
Stochastic optimization for large-scale machine learning /
by: Chauhan, Vinod Kumar
Published: (2022)
by: Chauhan, Vinod Kumar
Published: (2022)
Machine learning : a comprehensive beginner's guide /
by: R., Akshay B., et al.
Published: (2025)
by: R., Akshay B., et al.
Published: (2025)
Quantum Machine Learning : What Quantum Computing Means to Data Mining /
by: Wittek, Peter
Published: (2014)
by: Wittek, Peter
Published: (2014)
Machine Learning for Text /
by: Aggarwal, Charu C.
Published: (2022)
by: Aggarwal, Charu C.
Published: (2022)
Machine learning : a first course for engineers and scientists /
by: Lindholm, Andreas, 1989-
Published: (2022)
by: Lindholm, Andreas, 1989-
Published: (2022)
Feature Store for Machine Learning : Curate, Discover, Share and Serve ML Features at Scale.
by: Kumar M. J., Jayanth
Published: (2022)
by: Kumar M. J., Jayanth
Published: (2022)
Deep learning innovations and their convergence with big data /
Published: (2018)
Published: (2018)
Machine Learning : The Basics /
by: Jung, Alexander
Published: (2022)
by: Jung, Alexander
Published: (2022)
Machine learning and data mining : introduction to principles and algorithms /
by: Kononenko, Igor, 1959-
Published: (2007)
by: Kononenko, Igor, 1959-
Published: (2007)
Machine learning of design concepts /
by: Li, Heng
Published: (1994)
by: Li, Heng
Published: (1994)
Machine learning of inductive bias /
by: Utgoff, Paul E., 1951-
Published: (1986)
by: Utgoff, Paul E., 1951-
Published: (1986)
Fundamentals of machine learning /
by: Trappenberg, Thomas P.
Published: (2020)
by: Trappenberg, Thomas P.
Published: (2020)
Machine learning applications : from computer vision to robotics /
Published: (2024)
Published: (2024)
Advanced interdisciplinary applications of deep learning for data science /
Published: (2025)
Published: (2025)
Applied Machine Learning Explainability Techniques : Make ML Models Explainable and Trustworthy for Practical Applications Using LIME, SHAP, and More /
by: Bhattacharya, Aditya
Published: (2022)
by: Bhattacharya, Aditya
Published: (2022)
Machine learning : theory and practice /
by: Kalita, Jugal Kumar
Published: (2023)
by: Kalita, Jugal Kumar
Published: (2023)
Scalable and distributed machine learning and deep learning patterns /
Published: (2023)
Published: (2023)
Introduction to machine learning : theory.
Published: (2018)
Published: (2018)
MLOps masterclass : theory to DevOps to Cloud-native to AutoML /
Published: (2022)
Published: (2022)
Machine learning : ECML-98 : 10th European Conference on Machine Learning, Chemnitz, Germany, April 1998 : proceedings /
Published: (1998)
Published: (1998)
Machine learning : a theoretical approach /
by: Natarajan, Balas Kausik
Published: (1991)
by: Natarajan, Balas Kausik
Published: (1991)
Machine Learning : A Concise Introduction.
by: Knox, Steven W.
Published: (2026)
by: Knox, Steven W.
Published: (2026)
Machine learning : principles and techniques /
Published: (1989)
Published: (1989)