Deep Learning

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Xehetasun bibliografikoak
Egile nagusia:	Goodfellow, I
Formatua:	Liburua
Hizkuntza:	ingelesa
Argitaratua:	Cambridge MIT Press 2016
Gaiak:	CSEDS
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak

Deep Learning for Vision Systems
nork: Elgendy, Mohamed
Argitaratua: (2020)

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

Reinforcement Learning
nork: Sutton, R S
Argitaratua: (1998)

Learning Spark
nork: DAM
Argitaratua: (2020)

Mastering Reinforcement Learning with Python
nork: Bilgin, Enes
Argitaratua: (2020)

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

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

Int to Computing and Problem Solving Using Python
nork: Balagurusamy, E
Argitaratua: (2016)

Big Data using Hadoop and Hive
nork: Kumar, Nitin
Argitaratua: (2021)

Ethics and Data Science
nork: Loukides, M
Argitaratua: (2022)

Principles of Data Wrangling
nork: Rattenbury,T
Argitaratua: (2023)

Algorithms and Parallel Computing
nork: Gebali,F
Argitaratua: (2011)

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

Database Reliability Engineering:Designing and Operating Resilient Database Systems
nork: Campbell, L
Argitaratua: (2022)

Practical Statistics for Data Scientists
nork: Bruce, Peter
Argitaratua: (2024)

Time Series Forecasting
nork: Chatfield, Chris
Argitaratua: (2017)

Mastering Probabilistic Graphical Models Using Python
nork: Ankan, Ankur
Argitaratua: (2015)

Data Engineering with Apache Spark
nork: Kukreja, Manoj
Argitaratua: (2021)

NATURAL LANGUAGE PROCESSING AND INFORMATION RETRIEVAL
nork: SIDDIQUI, T.
Argitaratua: (2009)

MakeoverMonday
nork: Kriebel, A
Argitaratua: (2018)

Programmable Logic Controllers
nork: Petruzella, F D
Argitaratua: (2017)

Probabilistic Graphical Models
nork: Koller, D
Argitaratua: (2009)

Spatial Data Analysis:Theory and Practice
nork: Haining, R
Argitaratua: (2003)

Time Series Forecasting
nork: Chatfield, Chris
Argitaratua: (2017)

Statistical Mehods for Spatial Data Analysis
nork: Schabenberger, Oliver
Argitaratua: (2005)

Kafka: The Definitive Guide
nork: Shapira, Gwen
Argitaratua: (2021)

Multivariate Data Analysis
nork: Hair,Joseph F
Argitaratua: (2019)

Mastering Apache Spark
nork: Frompton, Mike
Argitaratua: (2015)

Deep Learning
nork: Kelleher, J D
Argitaratua: (2019)

Deep Learning
nork: Patterson, J
Argitaratua: (2021)

Deep Learning with Python
nork: Chollet, F
Argitaratua: (2018)

Grokking Deep Learning
nork: Trask, A W
Argitaratua: (2019)

Deep Learning for Vision Systems
nork: Elgendy,M

Deep Learning for Natural Language Processing
nork: Raaijimakers, S

Deep Learning for NLP and Speech Recognition
nork: Kamath ,Uday
Argitaratua: (2019)

Deep learning
nork: Goodfellow, I
Argitaratua: (2016)

Deep Learning
nork: Goodfellow,I
Argitaratua: (2016)

Learn Computer vision Using OpenCV:With Deep Learning
nork: Gollapudi,Sunila
Argitaratua: (2019)

DEEP LEARNING
nork: GOODFELLOW LAN
Argitaratua: (2016)

Deep Learning
nork: Goodfellow, Ian
Argitaratua: (2023)