Cargando…

Machine learning and AI for healthcare: big data for improved health outcomes

Mostrar otras versiones (1)

Detalles Bibliográficos
Autor principal:	Panesar, Arjun
Lenguaje:	eng
Publicado:	Apress 2019
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2670756

Ejemplares similares

Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes
por: Panesar, Arjun
Publicado: (2020)

Machine learning for big data analysis
por: Bhattacharyya, Siddhartha, et al.
Publicado: (2019)

AI and medicine: data-driven strategies for improving healthcare and saving lives
por: Barlow, Mike
Publicado: (2016)

Clojure for data science: statistics, big data, and machine learning for Clojure programmers
por: Garner, Henry
Publicado: (2015)

Big data demystified: how to use big data, data science and AI to make better business decisions and gain competitive advantage
por: Stephenson, David
Publicado: (2018)

An introduction to data: everything you need to know about AI, big data and data science
por: Corea, Francesco
Publicado: (2018)

Veracity of big data: machine learning and other approaches to verifying truthfulness
por: Pendyala, Vishnu
Publicado: (2018)

Security with AI and machine learning: using advanced tools to improve application security at the edge
por: Gil, Laurent, et al.
Publicado: (2018)

Pragmatic AI: an introduction to cloud-based machine learning
por: Gift, Noah
Publicado: (2018)

From Big Data to Big Insights: The Role of Platforms in Healthcare IT
por: Di Meglio, Alberto, et al.
Publicado: (2017)

Big data, data mining and machine learning: value creation for business leaders and practitioners
por: Dean, Jared
Publicado: (2014)

Introducing data science: big data, machine learning, and more, using Python tools
por: Cielen, Davy, et al.
Publicado: (2016)

Machine learning for healthcare analytics projects: build smart AI applications using neural network methodologies across the healthcare vertical market
por: Packt Publishing
Publicado: (2018)

SQL Server 2019 revealed: including big data clusters and machine learning
por: Ward, Bob, et al.
Publicado: (2019)

Granular computing based machine learning: a big data processing approach
por: Liu, Han, et al.
Publicado: (2017)

Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data
por: Ratner, Bruce
Publicado: (2011)

Practical automated machine learning on Azure: using Azure machine learning to quickly build AI solutions
por: Mukunthu, Deepak, et al.
Publicado: (2019)

Big data analytics for intelligent healthcare management
por: Dey, Nilanjan, et al.
Publicado: (2019)

Google BigQuery: the definitive guide : data warehousing, analytics, and machine learning at scale
por: Lakshmanan, Valliappa, et al.
Publicado: (2019)

Telemedicine technologies: big data, deep learning, robotics, mobile and remote applications for global healthcare
por: Hemanth, D Jude, et al.
Publicado: (2019)

Practical machine learning with H2O: powerful, scalable techniques for deep learning and AI
por: Cook, Darren
Publicado: (2017)

Genetic algorithms and machine learning for programmers: create AI models and evolve solutions
por: Buontempo, Frances
Publicado: (2019)

Machine learning is changing the rules: ways business can utilize AI to innovate
por: Morgan, Peter
Publicado: (2018)

Applications of AI, machine vision and robotics
por: Boyer, Kim, et al.
Publicado: (1995)

Big data analysis with Python: combine Spark and Python to unlock the powers of parallel computing and machine learning
por: Marin, Ivan, et al.
Publicado: (2019)

An introduction to machine learning interpretability: an applied perspective on fairness, accountability, transparency, and explainable AI
por: Hall, Patrick, et al.
Publicado: (2019)

An introduction to machine learning interpretability: an applied perspective on fairness, accountability, transparency, and explainable AI
por: Hall, Patrick, et al.
Publicado: (2018)

The patient revolution: how big data and analytics are transforming the healthcare experience
por: Tailor, Krisa
Publicado: (2016)

Big data visualization: learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization
por: Miller, James D
Publicado: (2017)

Learning big data with Amazon Elastic MapReduce
por: Singh, Amarkant, et al.
Publicado: (2014)

Machine learning with Apache Spark quick start guide: uncover patterns, derive actionable insights, and learn from big data using MLlib
por: Quddus, Jillur
Publicado: (2018)

Big books in times of big data
por: van de Ven, Inge
Publicado: (2020)

Big data: understanding how data powers big business
por: Schmarzo, Bill
Publicado: (2013)

Big data's big potential in developing economies: impact on agriculture, health and environmental security
por: Kshetri, Nir
Publicado: (2016)

Scala: applied machine learning : leverage the power of Scala and master the art of building, improving, and validating scalable machine learning and AI applications using Scala's most advanced and finest features : a course in three modules
por: Bugnion, Pascal, et al.
Publicado: (2016)

Apache Oozie essentials: unleash the power of Apache Oozie to create and manage your big data and machine learning pipelines in one go
por: Singh, Jagat Jasjit
Publicado: (2015)

Practical big data analytics: hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
por: Dasgupta, Nataraj
Publicado: (2018)

The enterprise big data lake: delivering the promise of big data and data science
por: Gorelik, Alex
Publicado: (2019)

Learning Bayesian models with R: become an expert in Bayesian machine learning methods using R and apply them to solve real-world big data problems
por: Koduvely, Hari M
Publicado: (2015)

Intelligent projects using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
por: Pattanayak, Santanu
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_g26i3hvngbb79u7kt8lgsr6ki9