Cover Image

QR Code

Machine learning refined : foundations, algorithms, and applications

Main Author:	Watt, Jeremy
Other Authors:	Borhani, Reza, Katsaggelos, Aggelos K.
Edition:	Second edition.
Subjects:	Machine learning Electronic books
Online Access:	http://library.unisel.edu.my/web/guest/mylibrary

Similar Items

Deep learning for data analytics : foundations, biomedical applications, and challenges

Trends in deep learning methodologies : algorithms, applications, and systems

Machine learning : theory to applications
by: Mirtaheri, Seyedeh Leili

Machine learning : concepts, techniques and applications
by: Geetha, T. V.

Foundations of machine learning
by: Mohri, Mehryar

Machine learning paradigm : for internet of things applications

Machine learning in signal processing : applications, challenges, and the road ahead

Learning representation for multi-view data analysis : models and applications
by: Ding, Zhengming

Advancement of deep learning and its applications in object detection and recognition

Machine learning in the AWS cloud : add intelligence to applications with Amazon SageMaker and Amazon Rekognition
by: Mishra, Abhishek

Statistical modeling in machine learning : concepts and applications

Generative adversarial networks and deep learning : theory and applications

Swarm intelligence and evolutionary computation : theory, advances and applications in machine learning and deep learning
by: Kouziokas, Georgios N.

Empowering artificial intelligence through machine learning : new advances and applications

Hands-on machine learning with ML.NET : getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#
by: Capellman, Jarred

Practical machine learning with Rust : creating intelligent applications in Rust
by: Bhattacharjee, Joydeep

Machine learning theory and applications : hands-on use cases with Python on classical and quantum machines
by: Vasques, Xavier

Machine learning : the basics
by: Jung, Alexander

Machine learning : theory and practice
by: Kalita, Jugal Kumar

Automated machine learning in action
by: Song, Qingquan

Representation in machine learning
by: Murty, M. Narasimha

Machine learning crash course for engineers
by: Hossain, Eklas

Learn TensorFlow 2.0 : implement machine learning and deep learning models with Python
by: Singh, Pramod

Machine learning fundamentals : a concise introduction
by: Jiang, Hui

Deep learning pipeline : building a deep learning model with TensorFlow
by: El-Amir, Hisham

Beginning machine learning in iOS : CoreML framework
by: Thakkar, Mohit

Industrial machine learning : using artificial intelligence as a transformational disruptor
by: Vermeulen, Andreas Francois

Practical MATLAB deep learning : a project-based approach
by: Paluszek, Michael

Next-generation machine learning with Spark : covers XGBoost, LightGBM, Spark NLP, distributed deep learning with Keras, and more
by: Quinto, Butch

Transfer learning

Interpreting machine learning models : learn model interpretability and explainability methods
by: Nandi, Anirban

Practical machine learning for data analysis using python
by: Subasi, Abdulhamit

Deep learning through sparse and low-rank modeling

Robust machine learning : distributed methods for safe AI
by: Guerraoui, Rachid

Advances in machine learning for big data analysis

Machine learning using TensorFlow cookbook : over 60 recipes on machine learning using deep learning solutions from Kaggle Masters and Google Developers Experts
by: Audevart, Alexia

Compact and fast machine learning accelerator for IoT devices
by: Huang, Hantao

Machine learning, big data, and IoT for medical informatics

Practical machine learning in Javascript : tensorflow.js for web developers
by: Gerard, Charley

Machine learning for decision makers : cognitive computing fundamentals for better decision making
by: Kashyap, Patanjali