Cover Image

QR Code

Industrial machine learning : using artificial intelligence as a transformational disruptor

Main Author:	Vermeulen, Andreas Francois
Subjects:	Machine learning Electronic books
Online Access:	http://library.unisel.edu.my/web/guest/mylibrary

Similar Items

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

Machine learning for business : using Amazon SageMaker and Jupyter
by: Hudgeon, Doug

Empowering artificial intelligence through machine learning : new advances and applications

Transfer learning

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

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

A few things I know about her : a personally machine learning inspired approach to understand surrounding nature
by: Apolloni, Bruno

Pro deep learning with TensorFlow 2.0 : a mathematical approach to advanced artificial intelligence in Python
by: Pattanayak, Santanu

Machine learning with R, the tidyverse, and mlr
by: Rhys, Hefin I

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

Introduction to deep learning : from logical calculus to artificial intelligence
by: Skansi, Sandro
Published: (2018)

Practicing trustworthy machine learning : consistent, transparent, and fair AI pipelines
by: Pruksachatkun, Yada

Generative adversarial networks for image-to-image translation

Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more
by: Atienza, Rowel

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

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

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

Machine intelligence and signal analysis
Published: (2019)

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

Deep learning : a visual approach
by: Glassner, Andrew S.

Machine learning for civil & environmental engineers : a practical approach to data-driven analysis, explainability, and causality
by: Naser, M. Z

Deep reinforcement learning
by: Plaat, Aske

Machine learning : the basics
by: Jung, Alexander

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

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

Automated machine learning in action
by: Song, Qingquan

Representation in machine learning
by: Murty, M. Narasimha

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

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

Machine learning refined : foundations, algorithms, and applications
by: Watt, Jeremy

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

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

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

Foundations of machine learning
by: Mohri, Mehryar

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

Deep learning through sparse and low-rank modeling

Machine learning paradigm : for internet of things applications

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

Machine learning, big data, and IoT for medical informatics

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