Machine Learning Security Principles : Keep data, networks, users, and applications safe from prying eyes

Machine Learning Security Principles : Keep data, networks, users, and applications safe from prying eyes

Enregistré dans:

Détails bibliographiques
Auteur principal:	Mueller, John. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-Book
Lien:	Autre support: Machine Learning Security Principles : Keep data, networks, users, and applications safe from prying eyes / John Paul Mueller

Documents similaires

Machine learning
par: Mueller, John Paul (1958-....).

Machine Learning Security with Azure : Best practices for assessing, securing, and monitoring Azure Machine Learning workloads
par: Kalyva, Georgia.

Mastering Azure Security : Keeping your Microsoft Azure workloads safe
par: Toroman, Mustafa.
Publié: (2022)

Machine Learning with R : Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data
par: Lantz, Brett.

Principles and Labs for Deep Learning
par: Huang, Shih-Chia.
Publié: (2021)

Machine learning : theory and applications
par: Govindaraju, Venugopal (1964-....).
Publié: (2013)

Machine learning algorithms : popular algorithms for data science and machine learning
par: Bonaccorso, Giuseppe.
Publié: (2018)

Machine Learning with the Elastic Stack : Gain valuable insights from your data with Elastic Stack's machine learning features
par: Collier, Rich.
Publié: (2021)

Principles of Data Science : A beginner's guide to essential math and coding skills for data fluency and machine learning
par: Ozdemir, Sinan.

Machine Learning Algorithms : Reference guide for popular algorithms for data science and machine learning
par: Bonaccorso, Bonaccorso.
Publié: (2017)

Advanced Machine Learning with R : Tackle data analytics and machine learning challenges and build complex applications with R 3.5
par: Lesmeister, Cory.
Publié: (2019)

Python Machine Learning Projects : Learn how to build Machine Learning projects from scratch
par: Vora, Deepali R..

Graph Machine Learning : Take graph data to the next level by applying machine learning techniques and algorithms
par: Stamile, Claudio (19..-....; chercheur en informatique).
Publié: (2021)

Advanced machine learning with Python
par: Hearty, John.
Publié: (2016)

Machine Learning Engineering on AWS : Build, scale, and secure machine learning systems and MLOps pipelines in production
par: Lat, Joshua Arvin.
Publié: (2022)

Machine Learning for Imbalanced Data : Tackle imbalanced datasets using machine learning and deep learning techniques
par: Abhishek, Kumar.

Machine learning for Mobile : practical guide to building intelligent mobile applications powered by machine learning
par: Gopalakrishnan, Revathi.
Publié: (2018)

Machine learning for developers : uplift your regular applications with the power of statistics, analytics, and machine learning
par: Bonnin, Rodolfo.
Publié: (2017)

Machine Learning for Biometrics : Concepts, Algorithms and Applications
par: Sarangi, Partha Pratim (19..-....).
Publié: (2022)

Agile Machine Learning with DataRobot : Automate each step of the machine learning life cycle, from understanding problems to delivering value
par: Chadha, Bipin.
Publié: (2021)

Learning Puppet security
par: Slagle, Jason.
Publié: (2015)

Synthetic Data for Machine Learning : Revolutionize your approach to machine learning with this comprehensive conceptual guide
par: Kerim, Abdulrahman.

Statistical and Machine Learning Approaches for Network Analysis
par: Dehmer, Matthias (1968-....).
Publié: (2012)

Machine learning in Java : helpful techniques to design, build, and deploy powerful machine learning applications in Java
par: Bhatia, AshishSingh.
Publié: (2018)

Machine learning Quick Reference : quick and essential machine learning hacks for training smart data models
par: Kumar, Rahul.
Publié: (2019)

Data Science with Machine Learning : Python Interview Questions
par: Narayanan, Vishwanathan.

Principles of data science
par: Ozdemir, Sinan.
Publié: (2016)

Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications
par: Lantz, Brett.
Publié: (2013)

Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications
par: Lantz, Brett.
Publié: (2015)

Data Cleaning and Exploration with Machine Learning : Get to grips with machine learning techniques to achieve sparkling-clean data quickly
par: Walker, Michael.
Publié: (2022)

Principles of Semiconductor Network Testing
par: Afshar, Amir.

Machine learning : expert techniques to tackle complex machine learning problems using Python
par: Thanaki, Jalaj.
Publié: (2018)

Machine learning : the new AI
par: Alpaydin, Ethem.
Publié: (2016)

Python machine learning cookbook : over 100 recipes to progress from smart data analytics to deep learning using real-world datasets
par: Ciaburro, Giuseppe (19..-....).
Publié: (2019)

Machine learning for cybersecurity cookbook : over 80 recipes on how to implement machine learning algorithms for building security systems using Python
par: Tsukerman, Emmanuel.
Publié: (2019)

Machine Learning for Beginners : Learn to Build Machine Learning Systems Using Python
par: Bhasin, Harsh, 19..-...., informaticien.
Publié: (2020)

Machine learning : programmes libres (gplv3) essentiels au développement de solutions big data
par: Amini, Massih-Reza (19..-....; chercheur en informatique).
Publié: (2020)

Network and system security
par: Vacca, John R. (1947-....).
Publié: (2014)

Practical Machine Learning with R : Define, build, and evaluate machine learning models for real-world applications
par: Jeyaraman, Brindha Priyadarshini.
Publié: (2019)

Hands-On Machine Learning with Microsoft Excel 2019 : Build complete data analysis flows, from data collection to visualization
par: Rodriguez Martino, Julio Cesar.
Publié: (2019)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1