Designing machine learning systems with Python

Designing machine learning systems with Python

Gorde:

Xehetasun bibliografikoak
Egile nagusia:	Julian, David. (Egilea)
Formatua:	E-Book
Hizkuntza:	Anglais
Argitaratua:	Birmingham : Packt Publishing, 2016.
Autres localisations:	Voir dans le Sudoc
Sarrera elektronikoa:	Accès à l'E-book

Antzeko izenburuak

Building Machine Learning Systems with Python : master the art of machine learning with Python and build effective machine learning systems with this intensive hands-on guide
nork: Richert, Willi.
Argitaratua: (2013)

Building Machine Learning Systems with Python : Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow
nork: Coelho, Luis Pedro.
Argitaratua: (2018)

Machine Learning with Python : Unlocking AI Potential with Python and Machine Learning
nork: Theobald, Oliver.

Python machine learning
nork: Lee, Wei-Meng (19..-....).

Machine Learning with Python : Design and Develop Machine Learning and Deep Learning Technique using real world code examples
nork: Vijayvargia, Abhishek.

Python Machine Learning : Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2
nork: Raschka, Sebastian.
Argitaratua: (2019)

Building Machine Learning Systems Using Python : Practice to Train Predictive Models and Analyze Machine Learning Results with Real Use-Cases
nork: Chopra, Deepti (19..-....).

Advanced machine learning with Python
nork: Hearty, John.
Argitaratua: (2016)

Python 3 for Machine Learning
nork: Campesato, Oswald.

Pragmatic Machine Learning with Python : Learn How to Deploy Machine Learning Models in Production
nork: Nag, Avishek.

Distributed Machine Learning with Python : Accelerating model training and serving with distributed systems
nork: Wang, Guanhua.
Argitaratua: (2022)

Supervised Machine Learning with Python : Develop rich Python coding practices while exploring supervised machine learning
nork: Smith, Taylor.
Argitaratua: (2019)

Python Machine Learning By Example : Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn
nork: Liu, Yuxi (Hayden).
Argitaratua: (2020)

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

Machine Learning with LightGBM and Python : A practitioner's guide to developing production-ready machine learning systems
nork: Wyk, Andrich Van.

Large scale machine learning with Python
nork: Sjardin, Bastiaan.
Argitaratua: (2016)

Machine Learning Engineering with Python : Manage the lifecycle of machine learning models using MLOps with practical examples
nork: Mcmahon, Andrew P..

Python Machine Learning By Example : Unlock machine learning best practices with real-world use cases
nork: Liu, Yuxi (Hayden).

Machine learning with Spark and Python : essential techniques for predictive analytics
nork: Bowles, Michael (19..-....).

Python machine learning Blueprints : put your machine learning concepts to the test by developing real-world smart projects
nork: Combs, Alexander.
Argitaratua: (2019)

Learning Python design patterns : leverage the power of Python design patterns to solve real-world problems in software architecture and design
nork: Giridhar, Chetan.
Argitaratua: (2016)

Active Machine Learning with Python : Refine and elevate data quality over quantity with active learning
nork: Masson-Forsythe, Margaux.

Debugging Machine Learning Models with Python : Develop high-performance, low-bias, and explainable machine learning and deep learning models
nork: Madani, Ali.

Machine Learning for Time-Series with Python : Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
nork: Auffarth, Ben.
Argitaratua: (2021)

Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark
nork: Kane, Frank.
Argitaratua: (2017)

Machine learning for time series forecasting with Python
nork: Lazzeri, Francesca (19..-....).

Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits : A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
nork: Amr, Tarek (19..-....).
Argitaratua: (2020)

Machine Learning for Emotion Analysis in Python : Build AI-powered tools for analyzing emotion using natural language processing and machine learning
nork: Ramsay, Allan.

Machine Learning for Streaming Data with Python : Rapidly build practical online machine learning solutions using River and other top key frameworks
nork: Korstanje, Joos.
Argitaratua: (2022)

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

Interpretable Machine Learning with Python : Build explainable, fair, and robust high-performance models with hands-on, real-world examples
nork: Masís, Serg.

Practical machine learning for data analysis using Python
nork: Subasi, Abdulhamit (19..-....).
Argitaratua: (2020)

Le Machine Learning avec Python : de la théorie à la pratique
nork: Khichane, Madjid, 1980-
Argitaratua: (2021)

Machine Learning Cookbook with Python : Create ML and Data Analytics Projects Using Some Amazing Open Datasets (English Edition)
nork: Guha, Rehan.

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

Machine Learning for Beginners : Build and deploy Machine Learning systems using Python (English Edition) Ed. 2
nork: Bhasin, Harsh (19..-....; informaticien).

Data-Centric Machine Learning with Python : The ultimate guide to engineering and deploying high-quality models based on good data
nork: Christensen, Jonas.

Statistics for Machine Learning : Implement Statistical methods used in Machine Learning using Python
nork: Singh, Himanshu.

Machine Learning: Make Your Own Recommender System : Build Your Recommender System with Machine Learning Insights
nork: Theobald, Oliver.

Applied Machine Learning Solutions with Python : Production-ready ML Projects Using Cutting-edge Libraries and Powerful Statistical Techniques (English Edition)
nork: Bhatta, Siddhanta.

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