Hands-on machine learning with Python : implement neural network solutions with Scikit-learn and PyTorch /

Hands-on machine learning with Python : implement neural network solutions with Scikit-learn and PyTorch /

Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytor...

Full description

Saved in:

Bibliographic Details
Main Authors:	Pajankar, Ashwin (Author), Joshi, Aditya (Author)
Format:	eBook
Language:	English
Published:	[Berkeley] : Apress, [2022]
Subjects:	Machine learning. Python (Computer program language)
Online Access:	CONNECT CONNECT

Similar Items

Machine learning with PyTorch /
Published: (2019)

Hands-on machine learning with scikit-learn and scientific Python toolkits : a practical guide to implementing supervised and unsupervised machine learning algorithms in Python /
by: Amr, Tarek,
Published: (2020)

Hands-on ensemble learning with Python : build highly optimized ensemble machine learning models using scikit-learn and Keras /
by: Kyriakides, George,, et al.
Published: (2019)

Hands-on machine learning for algorithmic trading bots with Python.
Published: (2019)

Advanced machine learning with scikit-learn : tools and techniques for predictive analytics in Python /
Published: (2015)

Machine learning with Python cookbook : practical solutions from preprocessing to deep learning /
by: Albon, Chris,
Published: (2018)

Machine learning with scikit-learn : LiveLessons /
Published: (2019)

Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, and techniques to build intelligent systems /
by: Géron, Aurélien,
Published: (2017)

Python for machine learning : the complete beginner's course.
Published: (2021)

Machine learning in Python for everyone.
Published: (2023)

Machine learning in Python : essential techniques for predictive analysis /
by: Bowles, Michael,
Published: (2015)

Python for deep learning : build neural networks in Python.
Published: (2022)

Scikit-learn cookbook : over 80 recipes for machine learning in Python with scikit-learn /
by: Avila, Julian,, et al.
Published: (2017)

Scikit-learn cookbook : over 80 recipes for machine learning python with scikit-learn /
by: Avila, Julian,, et al.
Published: (2017)

Supervised Machine Learning with Python : Develop Rich Python Coding Practices While Exploring Supervised Machine Learning.
by: Smith, Taylor, 1953-
Published: (2019)

Hands-On Gradient Boosting with XGBoost and scikit-learn : Perform accessible machine learning and extreme gradient boosting with Python. /
by: Wade, Corey.
Published: (2020)

Using Lightning and Hangar with PyTorch to reduce coding in deep learning projects.
Published: (2020)

Machine Learning with scikit-learn quick start guide : classification, regression, and clustering techniques in Python /
by: Jolly, Kevin,
Published: (2018)

Machine Learning for Streaming Data with Python : Rapidly Build Practical Online Machine Learning Solutions Using River and Other Top Key Frameworks /
by: Korstanje, Joos.
Published: (2022)

Thoughtful machine learning with Python : a test-driven approach /
by: Kirk, Matthew (Data scientist),
Published: (2017)

Learning scikit-learn : machine learning in Python : experience the benefits of machine learning techniques by applying them to real-world problems using Python and the open source scikit-learn library /
by: Garreta, Raúl.
Published: (2013)

Python machine learning blueprints : put your machine learning concepts to the test by developing real-world smart projects /
by: Combs, Alexander T.,, et al.
Published: (2019)

Programming PyTorch for deep learning : creating and deploying deep learning applications /
by: Pointer, Ian,
Published: (2019)

Machine Learning - kurz & gut : Eine Einführung mit Python, Pandas und Scikit-Learn.
by: Nguyen, Chi Nhan.
Published: (2021)

Distributed machine learning with Python : accelerating model training and serving with distributed systems /
by: Wang, Guanhua.
Published: (2022)

Deep Learning - Grundlagen und Implementierung : Neuronale Netze mit Python und PyTorch programmieren /
by: Weidman, Seth,
Published: (2020)

Machine learning for time series forecasting with Python /
by: Lazzeri, Francesca.
Published: (2021)

Machine learning for time series forecasting with Python /
by: Lazzeri, Francesca.
Published: (2021)

Understanding Horovod for distributed gradient descent in PyTorch.
Published: (2020)

Scikit-learn : machine learning simplified.
by: Garreta, Raúl,, et al.
Published: (2017)

Large scale machine learning with python : learn to build powerful machine learning models quickly and deploy large-scale predictive applications /
by: Sjardin, Bastiaan.
Published: (2016)

Python machine learning blueprints : intuitive data projects you can relate to : an approachable guide to applying advanced machine learning methods to everyday problems /
by: Combs, Alexander T.,
Published: (2016)

Automated deep learning using neural network intelligence : develop and design PyTorch and TensorFlow models using Python /
by: Gridin, Ivan,
Published: (2022)

Practical machine learning with Python : a problem-solver's guide to building real-world intelligent systems /
by: Sarkar, Dipanjan,, et al.
Published: (2018)

PyTorch deep learning in 7 days /
Published: (2019)

Practical machine learning for streaming data with Python : design, develop, and validate online learning models /
by: Putatunda, Sayan,
Published: (2021)

Machine learning : random forest with Python from scratch.
Published: (2022)

Python : deeper insights into machine learning : leverage benefits of machine learning techniques using Python : a course in three modules.
by: Raschka, Sebastian,, et al.
Published: (2016)

Data science solutions with Python : fast and scalable models using Keras, Pyspark Mllib, H2O, XGBoost, and scikit-Learn /
by: Tshepo, Chris Nokeri.
Published: (2022)

HANDS-ON MACHINE LEARNING WITH SCIKIT-LEARN, KERAS, AND TENSORFLOW : concepts, tools, and techniques to build intelligent systems /
by: Géron, Aurélien.
Published: (2022)