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Building Service-Aware Networks: The Next-Generation WAN/MAN
Author Muhammad Afaq Khan - CCIE No. 9070
Building Service-Aware NetworksThe Next-Generation WAN/MANMuhammad Afaq Khan, CCIE® No. 9070A thorough introduction to the ASR 1000 series routerBuilding Service-Aware Networks is the insider’s guide to the next-generation Aggregation Services Router (ASR) 1000. Aut....
Release Date 2009/09 -
Learn Amazon SageMaker - Second Edition
Author Julien Simon
Swiftly build and deploy machine learning models without managing infrastructure and boost productivity using the latest Amazon SageMaker capabilities such as Studio, Autopilot, Data Wrangler, Pipelines, and Feature StoreKey FeaturesBuild, train, and deploy machine learning models quickly using Amaz....
Release Date 2021/11 -
Feature Store for Machine Learning
Author Jayanth Kumar M J
Learn how to leverage feature stores to make the most of your machine learning modelsKey FeaturesUnderstand the significance of feature stores in the ML life cycleDiscover how features can be shared, discovered, and re-usedLearn to make features available for online models during inferenceBook Descr....
Release Date 2022/06 -
Machine Learning in Biotechnology and Life Sciences
Author Saleh Alkhalifa
Explore all the tools and templates needed for data scientists to drive success in their biotechnology careers with this comprehensive guideKey FeaturesLearn the applications of machine learning in biotechnology and life science sectorsDiscover exciting real-world applications of deep learning and n....
Release Date 2022/01 -
Fuzzy Neural Networks for Real Time Control Applications
Author Erdal Kayacan , Mojtaba Ahmadieh Khanesar
AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMSDelve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with....
Release Date 2015/10 -
Machine Learning with R - Third Edition
Author Brett Lantz
Solve real-world data problems with R and machine learningKey FeaturesThird edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.6 and beyondHarness the power of R to build flexible, effective, and transparent machine learning modelsLearn quickly with a ....
Release Date 2019/04 -
Machine Learning Engineering with Python
Author Andrew P. McMahon
Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production environmentsKey FeaturesExplore hyperparameter optimization and model management toolsLearn object-oriented programming and functional programming in Python to build your....
Release Date 2021/11 -
Author Chanchal Chatterjee
Learn to use adaptive algorithms to solve real-world streaming data problems. This book covers a multitude of data processing challenges, ranging from the simple to the complex. At each step, you will gain insight into real-world use cases, find solutions, explore code used to solve these problems, ....
Release Date 2022/03 -
Mastering Azure Machine Learning - Second Edition
Author Christoph Körner , Marcel Alsdorf
Supercharge and automate your deployments to Azure Machine Learning clusters and Azure Kubernetes Service using Azure Machine Learning servicesKey FeaturesImplement end-to-end machine learning pipelines on AzureTrain deep learning models using Azure compute infrastructureDeploy machine learning mode....
Release Date 2022/05 -
Applied Machine Learning Explainability Techniques
Author Aditya Bhattacharya
Leverage top XAI frameworks to explain your machine learning models with ease and discover best practices and guidelines to build scalable explainable ML systemsKey FeaturesExplore various explainability methods for designing robust and scalable explainable ML systemsUse XAI frameworks such as LIME ....
Release Date 2022/07 -
Author Andre Ye
Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learnin....
Release Date 2021/11 -
Author Chenguang Zhu
Machine reading comprehension (MRC) is a cutting-edge technology in natural language processing (NLP). MRC has recently advanced significantly, surpassing human parity in several public datasets. It has also been widely deployed by industry in search engine and quality assurance systems. Machine Rea....
Release Date 2021/03 -
The Efficiency of China's Stock Market
Author Shiguang Ma
By investigating the efficiency of China's stock market in accordance with the theoretical framework of the Efficient Market Hypothesis, this book focuses on weak form and semi-strong form market efficiency. Empirical tests have been intensively conducted on the r....
Release Date 2017/11 -
Automated Machine Learning on AWS
Author Trenton Potgieter , Jonathan Dahlberg
Automate the process of building, training, and deploying machine learning applications to production with AWS solutions such as SageMaker Autopilot, AutoGluon, Step Functions, Amazon Managed Workflows for Apache Airflow, and moreKey FeaturesExplore the various AWS services that make automated machi....
Release Date 2022/04 -
Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide
Author Willem Meints
Learn how to train popular deep learning architectures such as autoencoders, convolutional and recurrent neural networks while discovering how you can use deep learning models in your software applications with Microsoft Cognitive ToolkitKey FeaturesUnderstand the ....
Release Date 2019/03 -
Machine Learning at Scale with H2O
Author Gregory Keys , David Whiting
Build predictive models using large data volumes and deploy them to production using cutting-edge techniquesKey FeaturesBuild highly accurate state-of-the-art machine learning models against large-scale dataDeploy models for batch, real-time, and streaming data in a wide variety of target production....
Release Date 2022/07 -
Practical Automated Machine Learning Using H2O.ai
Author Salil Ajgaonkar
Accelerate the adoption of machine learning by automating away the complex parts of the ML pipeline using H2O.aiKey FeaturesLearn how to train the best models with a single click using H2O AutoMLGet a simple explanation of model performance using H2O ExplainabilityEasily deploy your trained models t....
Release Date 2022/09 -
Distributed Machine Learning with Python
Author Guanhua Wang
Build and deploy an efficient data processing pipeline for machine learning model training in an elastic, in-parallel model training or multi-tenant cluster and cloudKey FeaturesAccelerate model training and interference with order-of-magnitude time reductionLearn state-of-the-art parallel schemes f....
Release Date 2022/04 -
Data Cleaning and Exploration with Machine Learning
Author Michael Walker
Explore supercharged machine learning techniques to take care of your data laundry loadsKey FeaturesLearn how to prepare data for machine learning processesUnderstand which algorithms are based on prediction objectives and the properties of the dataExplore how to interpret and evaluate the results f....
Release Date 2022/08 -
Deep Reinforcement Learning with Python - Second Edition
An example-rich guide for beginners to start their reinforcement and deep reinforcement learning journey with state-of-the-art distinct algorithmsKey FeaturesCovers a vast spectrum of basic-to-advanced RL algorithms with mathematical explanations of each algorithmLearn how to implement algorithms wi.... -
Machine Learning and Big Data with kdb+/q
Author Jan Novotny , Paul A. Bilokon , Aris Galiotos
Upgrade your programming language to more effectively handle high-frequency data Machine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical entry into the powerful but non-intuitive kdb+ database and q programming language. Id....
Release Date 2019/12 -
Practical Machine Learning with R
Author Brindha Priyadarshini Jeyaraman , Ludvig Renbo Olsen
Understand how machine learning works and get hands-on experience of using R to build algorithms that can solve various real-world problemsKey FeaturesGain a comprehensive overview of different machine learning techniques Explore various methods for selecting a particula....
Release Date 2019/08 -
Semi-Supervised and Unsupervised Machine Learning: Novel Strategies
Author Wolfgang Minker , Amparo Albalate
This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised classification algorithms and their applications, including recent research on the combination of classifiers. The second part de....
Release Date 2011/01 -
AWS Certified Machine Learning Study Guide
Author Shreyas Subramanian , Stefan Natu
Succeed on the AWS Machine Learning exam or in your next job as a machine learning specialist on the AWS Cloud platform with this hands-on guide As the most popular cloud service in the world today, Amazon Web Services offers a wide range of opportun....
Release Date 2021/12 -
ML.NET Revealed: Simple Tools for Applying Machine Learning to Your Applications
Get introduced to ML.NET, a new open source, cross-platform machine learning framework from Microsoft that is intended to democratize machine learning and enable as many developers as possible.Dive in to learn how ML.NET is designed to encapsulate complex algorithms, making it easy to consume them i.... -
Machine Learning with BigQuery ML
Manage different business scenarios with the right machine learning technique using Google's highly scalable BigQuery MLKey FeaturesGain a clear understanding of AI and machine learning services on GCP, learn when to use these, and find out how to integrate them with BigQuery MLLeverage SQL syntax .... -
Distributed Data Systems with Azure Databricks
Quickly build and deploy massive data pipelines and improve productivity using Azure DatabricksKey FeaturesGet to grips with the distributed training and deployment of machine learning and deep learning modelsLearn how ETLs are integrated with Azure Data Factory and Delta LakeExplore deep learning a.... -
Author Slobodan Mijalković
Discover how Verilog-A is particularly designed to describe behavior and connectivity of circuits and system components for analog SPICE-class simulators, or for continuous time (SPICE-based) kernels in Verilog-AMS simulators. With continuous updates since it’s release 30 years ago, this practical g....
Release Date 2022/09