Geospatial Analysis

Shranjeno v:

Bibliografske podrobnosti
Glavni avtor:	Smith, M J D
Format:	Knjiga
Jezik:	angleščina
Izdano:	UK Crown 2018
Teme:	CSEDS, Geospatial
Oznake:	Označite Brez oznak, prvi označite!

Podobne knjige/članki

Geospatial analysis with SQL : a hands-on guide performing geospatial analysis by unlocking the syntax of spatial SQL
od: McClain, Bonny P
Izdano: (2023)

Geospatial Data Science Techniques and Applications
od: Karimi,H A
Izdano: (2018)

Geospatial Data anlytics on AWS
od: Bateman, S
Izdano: (2023)

Applied Geospatial Data Science with Python
od: Jordan,D S
Izdano: (2023)

Multivariate Data Analysis
od: Hair,Joseph F
Izdano: (2019)

Spatial Data Analysis:Theory and Practice
od: Haining, R
Izdano: (2003)

Statistical Mehods for Spatial Data Analysis
od: Schabenberger, Oliver
Izdano: (2005)

Practical Time Series Analysis :Prediction with Statistics and Machine Learning
od: Nielsen, Aileen
Izdano: (2019)

Probabilistic Graphical Models
od: Koller, D
Izdano: (2009)

Design and Analysis of Algorithms
od: Muniswamy, VV
Izdano: (2009)

Programmable Logic Controllers
od: Petruzella, F D
Izdano: (2017)

Ethics and Data Science
od: Loukides, M
Izdano: (2022)

Hands on Time Series Analysis with Python
od: Vishwas, B V
Izdano: (2020)

Social Network Analysis
od: Knoke, D
Izdano: (2020)

MakeoverMonday
od: Kriebel, A
Izdano: (2018)

Big Data using Hadoop and Hive
od: Kumar, Nitin
Izdano: (2021)

Principles of Data Wrangling
od: Rattenbury,T
Izdano: (2023)

Algorithms and Parallel Computing
od: Gebali,F
Izdano: (2011)

Essential Math for Data Science:Take Control Of Your Data
od: Nield, T
Izdano: (2023)

Database Reliability Engineering:Designing and Operating Resilient Database Systems
od: Campbell, L
Izdano: (2022)

Practical Statistics for Data Scientists
od: Bruce, Peter
Izdano: (2024)

Machine Learning Design Patterns: Solution to Common Challenges in Data Preparation
od: Lakshmanan, V
Izdano: (2021)

Time Series Forecasting
od: Chatfield, Chris
Izdano: (2017)

Mastering Probabilistic Graphical Models Using Python
od: Ankan, Ankur
Izdano: (2015)

Foundation of Deep Reinforcement Learning: theory and Prac in Python
od: Graesser, L
Izdano: (2022)

Reinforcement Learning
od: Sutton, R S
Izdano: (1998)

Deep Learning for Vision Systems
od: Elgendy, Mohamed
Izdano: (2020)

Data Engineering with Apache Spark
od: Kukreja, Manoj
Izdano: (2021)

Mastering Reinforcement Learning with Python
od: Bilgin, Enes
Izdano: (2020)

NATURAL LANGUAGE PROCESSING AND INFORMATION RETRIEVAL
od: SIDDIQUI, T.
Izdano: (2009)

Int to Computing and Problem Solving Using Python
od: Balagurusamy, E
Izdano: (2016)

Time Series Forecasting
od: Chatfield, Chris
Izdano: (2017)

Kafka: The Definitive Guide
od: Shapira, Gwen
Izdano: (2021)

Learning Spark
od: DAM
Izdano: (2020)

Blockchain for Dummies
od: Laurence, T
Izdano: (2022)

Deep Learning
od: Goodfellow, I
Izdano: (2016)

Mastering Apache Spark
od: Frompton, Mike
Izdano: (2015)

Social Media Mining:An Introduction
od: Zafarani, Reza
Izdano: (2014)

Introduction To Time Series Analysis and Forecasting
od: Montgomery,D C
Izdano: (2015)

Time Series Analysis
od: Hamilton, J D
Izdano: (2012)