Cover Image

QR Code

Hyperparameter tuning for machine and deep learning with : a practical guide

Other Authors:	Bartz, Eva
Subjects:	Machine learning -- > Statistical methods Deep learning (Machine learning) R (Computer program language) Electronic books
Online Access:	http://library.unisel.edu.my/web/guest/mylibrary

Similar Items

Deep learning : from big data to artificial intelligence with R
by: Tuffery, Stephane

Deep learning

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

Deep learning and scientific computing with R torch
by: Keydana, Sigrid

Deep learning illustrated : a visual, interactive guide to artificial intelligence
by: Krohn, Jon

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

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

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

Statistical modeling in machine learning : concepts and applications

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

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

Machine learning for decision sciences with case studies in Python
by: Sumathi, S

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

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

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.

Machine learning : a comprehensive beginner's guide
by: R., Akshay B.

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

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

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

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

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

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

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

Deep learning through sparse and low-rank modeling

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

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

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

Post-shrinkage strategies in statistical and machinelLearning for high dimensional ata
by: Ahmed, Syed Ejaz

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

Deep learning and parallel computing environment for bioengineering systems
by: Sangiah, Arun Kumar

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

Foundations of machine learning
by: Mohri, Mehryar

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

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

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

Beginning deep learning with TensorFlow : work with Keras, MNIST data sets, and advanced neural networks
by: Long, Liangqu

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

Graph algorithms for data science : with examples in Neo4j
by: Bratanic, Tomaz

Machine learning with Dynamics 365 and Power Platform : the ultimate guide to apply predictive analytics
by: Clere, Aurelien