Explainable AI for Practitioners: Designing and Implementing

Saved in:

书目详细资料
主要作者:	Munn,M
格式:	图书
语言:	英语
出版:	Beizing SPD 2022
主题:	CSEDS, ICB
标签:	添加标签没有标签, 成为第一个标记此记录!

相似书籍

Sentencing
由: Brooks,Thom
出版: (2014)

Blockchain Basics
由: Drescher,D
出版: (2023)

Internet of Things
由: Vasudevan, S K
出版: (2020)

Essentials of Wireless Sensor Networks
由: Kalli, Siva Nagi Reddy
出版: (2021)

Agile Data Science 2.0:Building full Satck Data Analytics
由: Jurney,R
出版: (2023)

Kali Linux Wireless Penetration Testing
由: Buchanan,C
出版: (2017)

Database Reliability Engineering:Designing and Operating Resilient Database Systems
由: Campbell, L
出版: (2022)

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

The AVR Microcontroller and Embedded Systems using Assembly and C
由: Mazidi, M A
出版: (2017)

Design and Analysis of Algorithms
由: Muniswamy, VV
出版: (2009)

Crytography and Network Security
由: Kahate, Atu
出版: (2023)

Ethics and Data Science
由: Loukides, M
出版: (2022)

Hands On Explainable AI(XAI) with Python
由: Rothman,Denis
出版: (2020)

The Design Thinking Playbook
由: Larry, M P
出版: (2018)

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

Blockchain for Dummies
由: Laurence, T
出版: (2022)

Big Data using Hadoop and Hive
由: Kumar, Nitin
出版: (2021)

Principles of Data Wrangling
由: Rattenbury,T
出版: (2023)

Algorithms and Parallel Computing
由: Gebali,F
出版: (2011)

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

Practical Statistics for Data Scientists
由: Bruce, Peter
出版: (2024)

Time Series Forecasting
由: Chatfield, Chris
出版: (2017)

Mastering Probabilistic Graphical Models Using Python
由: Ankan, Ankur
出版: (2015)

Reinforcement Learning
由: Sutton, R S
出版: (1998)

Deep Learning for Vision Systems
由: Elgendy, Mohamed
出版: (2020)

Data Engineering with Apache Spark
由: Kukreja, Manoj
出版: (2021)

Mastering Reinforcement Learning with Python
由: Bilgin, Enes
出版: (2020)

NATURAL LANGUAGE PROCESSING AND INFORMATION RETRIEVAL
由: SIDDIQUI, T.
出版: (2009)

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

MakeoverMonday
由: Kriebel, A
出版: (2018)

Programmable Logic Controllers
由: Petruzella, F D
出版: (2017)

Probabilistic Graphical Models
由: Koller, D
出版: (2009)

Spatial Data Analysis:Theory and Practice
由: Haining, R
出版: (2003)

Int to Computing and Problem Solving Using Python
由: Balagurusamy, E
出版: (2016)

Time Series Forecasting
由: Chatfield, Chris
出版: (2017)

Statistical Mehods for Spatial Data Analysis
由: Schabenberger, Oliver
出版: (2005)

Kafka: The Definitive Guide
由: Shapira, Gwen
出版: (2021)

Learning Spark
由: DAM
出版: (2020)

Multivariate Data Analysis
由: Hair,Joseph F
出版: (2019)

Deep Learning
由: Goodfellow, I
出版: (2016)