Machine learning for mobile practical guide to building intelligent mobile applications powered by machine learning

Machine learning for mobile practical guide to building intelligent mobile applications powered by machine learning

Bibliographic Details
Main Author:	Gopalakrishnan, Revathi
Other Authors:	Venkateswarlu, Avinash
Format:	eBook
Language:	English
Published:	Birmingham, UK Packt Publishing, 2018.
Subjects:	Application software > Development. Mobile apps. Machine learning. Mobile computing. COMPUTERS / Software Development & Engineering / General EBSCO eBooks Electronic books.
Online Access:	EBSCOhost Перейти в каталог НБ ТГУ

Similar Items

Legal issues of mobile apps a practical guide
Published: (2020)

Machine learning with Swift artificial intelligence for iOS
by: Sosnovshchenko, Alexander
Published: (2018)

Cognitive Computing with IBM Watson
by: High, Rob
Published: (2019)

Hands-on Spring Security 5 for Reactive applications learn effective ways to secure your applications with Spring and Spring WebFlux
by: John, Tomcy
Published: (2018)

Concurrent patterns and best practices build scalable apps with patterns in multithreading, synchronization, and functional programming.
by: Khot, Atul S.
Published: (2018)

Analyzing the role of risk mitigation and monitoring in software development
by: Kumar, Rohit, 1986-
Published: (2018)

Mobile devices and smart gadgets in medical sciences
Published: (2020)

Cloud Native Development Patterns and Best Practices Practical architectural patterns for building modern, distributed cloud-native systems.
by: Gilbert, John
Published: (2018)

Mobile applications and solutions for social inclusion
Published: (2018)

Hands-on reinforcement learning for games implementing self-learning agents in games using artificial intelligence techniques
by: Lanham, Micheal
Published: (2020)

Hands-on machine learning for cybersecurity safeguard your system by making your machines intelligent using the Python ecosystem
by: Halder, Soma
Published: (2018)

Version control with Git and GitHub discover the most popular source control solutions used by developers worldwide.
by: Magana, Alex
Published: (2018)

Machine Learning Quick Reference Quick and Essential Machine Learning Hacks for Training Smart Data Models.
by: Kumar, Rahul
Published: (2019)

Application development and design concepts, methodologies, tools, and applications
Published: (2018)

Learn Helm improve productivity, reduce complexity, and speed up cloud-native adoption with Kubernetes Helm
by: Block, Andrew
Published: (2020)

Serverless programming cookbook practical solutions to building serverless applications using Java and AWS
by: Kanikathottu, Heartin
Published: (2019)

Hands-On Artificial Intelligence for Search Building Intelligent Applications and Perform Enterprise Searches
by: Patel, Devangini
Published: (2018)

LEARNING RXJAVA BUILD CONCURRENT APPLICATIONS USING REACTIVE PROGRAMMING WITH THE LATEST FEATURES OF RXJAVA 3.
by: Samoylov, Nick
Published: (2020)

C# Data Structures and Algorithms Explore the possibilities of C# for developing a variety of efficient applications.
by: Jamro, Marcin
Published: (2018)

Machine learning fundamentals Use Python and scikit-learn to get up and running with the hottest developments in machine learning
by: Saleh, Hyatt
Published: (2018)

C++17 by example practical projects to get you up and running with C++17
by: Bjornander, Stefan
Published: (2018)

Python machine learning by example easy-to-follow examples that get you up and running with machine learning
by: Liu, Yuxi (Hayden)
Published: (2019)

Impact of mobile payment applications and transfers on business
Published: (2020)

OpenCV 4 Computer Vision Application Programming Cookbook.
by: Escrivá, David Millán
Published: (2019)

Mastering machine learning on AWS advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow
by: Mengle, Saket S. R.
Published: (2019)

Hands-On G Suite for Administrators Build and Manage Any Business on Top of the Google Cloud Infrastructure.
by: Anton Dorantes, Cesar
Published: (2019)

Hands-on GUI programming with C++ and Qt 5 build stunning cross-platform applications and widgets with the most powerful GUI framework
by: Eng, Lee Zhi
Published: (2018)

Mastering machine learning with R advanced machine learning techniques for building smart applications with R 3.5
by: Lesmeister, Cory
Published: (2019)

Hands-On Design Patterns with Java Learn Design Patterns That Enable the Building of Large-Scale Software Architectures.
by: Lavieri, Edward
Published: (2019)

Python for Offensive PenTest a practical guide to ethical hacking and penetration testing using Python.
by: Khrais, Hussam
Published: (2018)

Design patterns and best practices in Java a comprehensive guide to building smart and reusable code in Java
by: Singh, Kamalmeet
Published: (2018)

The Complete Kubernetes Guide Become an Expert in Container Management with the Power of Kubernetes.
by: Baier, Jonathan
Published: (2019)

Machine Learning Algorithms Popular Algorithms for Data Science and Machine Learning, 2nd Edition.
by: Bonaccorso, Giuseppe
Published: (2018)

Artificial intelligence with Python your complete guide to building intelligent apps using Python 3.x and TensorFlow 2
by: Artasanchez, Alberto
Published: (2020)

PYTHON MACHINE LEARNING;MACHINE LEARNING AND DEEP LEARNING WITH PYTHON, SCIKIT-LEARN, AND TENSORFLOW 2, 3RD EDITION
by: SEBASTIAN RASCHKA;VAHID MIRJALILI
Published: (2019)

Research anthology on securing mobile technologies and applications
Published: (2021)

Software estimation demystifying the black art
by: McConnell, Steve
Published: (2006)

Mobile Persuasion Design Changing Behaviour by Combining Persuasion Design with Information Design /
by: Marcus, Aaron
Published: (2015)

Natural language processing with Java techniques for building machine learning and neural network models for NLP
by: Reese, Richard Martin, 1953-
Published: (2018)

Mastering Service Mesh Enhance, Secure, and Observe Cloud-Native Applications with Istio, Linkerd, and Consul.
by: Khatri, Anjali
Published: (2020)