Ethics and Data Science

Sábháilte in:

Sonraí bibleagrafaíochta
Príomhchruthaitheoir:	Loukides, M
Formáid:	LEABHAR
Teanga:	Béarla
Foilsithe / Cruthaithe:	Mumbai SPD 2022
Ábhair:	CSEDS
Clibeanna:	Cuir clib leis Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!

Míreanna comhchosúla

Essential Math for Data Science:Take Control Of Your Data
de réir: Nield, T
Foilsithe / Cruthaithe: (2023)

Principles of Data Wrangling
de réir: Rattenbury,T
Foilsithe / Cruthaithe: (2023)

Multivariate Data Analysis
de réir: Hair,Joseph F
Foilsithe / Cruthaithe: (2019)

Practical Statistics for Data Scientists
de réir: Bruce, Peter
Foilsithe / Cruthaithe: (2024)

Data Engineering with Apache Spark
de réir: Kukreja, Manoj
Foilsithe / Cruthaithe: (2021)

Big Data using Hadoop and Hive
de réir: Kumar, Nitin
Foilsithe / Cruthaithe: (2021)

Spatial Data Analysis:Theory and Practice
de réir: Haining, R
Foilsithe / Cruthaithe: (2003)

Statistical Mehods for Spatial Data Analysis
de réir: Schabenberger, Oliver
Foilsithe / Cruthaithe: (2005)

Machine Learning Design Patterns: Solution to Common Challenges in Data Preparation
de réir: Lakshmanan, V
Foilsithe / Cruthaithe: (2021)

Database Reliability Engineering:Designing and Operating Resilient Database Systems
de réir: Campbell, L
Foilsithe / Cruthaithe: (2022)

Foundation of Deep Reinforcement Learning: theory and Prac in Python
de réir: Graesser, L
Foilsithe / Cruthaithe: (2022)

Algorithms and Parallel Computing
de réir: Gebali,F
Foilsithe / Cruthaithe: (2011)

Time Series Forecasting
de réir: Chatfield, Chris
Foilsithe / Cruthaithe: (2017)

Mastering Probabilistic Graphical Models Using Python
de réir: Ankan, Ankur
Foilsithe / Cruthaithe: (2015)

Reinforcement Learning
de réir: Sutton, R S
Foilsithe / Cruthaithe: (1998)

Deep Learning for Vision Systems
de réir: Elgendy, Mohamed
Foilsithe / Cruthaithe: (2020)

Mastering Reinforcement Learning with Python
de réir: Bilgin, Enes
Foilsithe / Cruthaithe: (2020)

Practical Time Series Analysis :Prediction with Statistics and Machine Learning
de réir: Nielsen, Aileen
Foilsithe / Cruthaithe: (2019)

MakeoverMonday
de réir: Kriebel, A
Foilsithe / Cruthaithe: (2018)

Programmable Logic Controllers
de réir: Petruzella, F D
Foilsithe / Cruthaithe: (2017)

Probabilistic Graphical Models
de réir: Koller, D
Foilsithe / Cruthaithe: (2009)

Int to Computing and Problem Solving Using Python
de réir: Balagurusamy, E
Foilsithe / Cruthaithe: (2016)

Time Series Forecasting
de réir: Chatfield, Chris
Foilsithe / Cruthaithe: (2017)

Learning Spark
de réir: DAM
Foilsithe / Cruthaithe: (2020)

Deep Learning
de réir: Goodfellow, I
Foilsithe / Cruthaithe: (2016)

Mastering Apache Spark
de réir: Frompton, Mike
Foilsithe / Cruthaithe: (2015)

NATURAL LANGUAGE PROCESSING AND INFORMATION RETRIEVAL
de réir: SIDDIQUI, T.
Foilsithe / Cruthaithe: (2009)

Kafka: The Definitive Guide
de réir: Shapira, Gwen
Foilsithe / Cruthaithe: (2021)

Build a Career in Data Science
de réir: Robinson, Emily
Foilsithe / Cruthaithe: (2020)

Privacy and Big Data
de réir: Craig,T
Foilsithe / Cruthaithe: (2011)

Bad Data Handbook
de réir: McCallum, E
Foilsithe / Cruthaithe: (2013)

THEORY AND PRACTICE OF VALUATION
de réir: NAMAVATI ROSHAN H
Foilsithe / Cruthaithe: (2010)

Learning Microsoft Power BI:Transforming Data into Insights
de réir: Arnold,J
Foilsithe / Cruthaithe: (2022)

Advanced Algorithms and Data Structures
de réir: Rocca,M L
Foilsithe / Cruthaithe: (2021)

Fundamentals of Data Engineering
de réir: Reis, J
Foilsithe / Cruthaithe: (2022)

Data Engineering with AWS
de réir: Eagar, G
Foilsithe / Cruthaithe: (2021)

Python for Data Analysis
de réir: Mckinney, Wes
Foilsithe / Cruthaithe: (2017)

Big Data Analytics
de réir: Kamal, Raj

Data Engineering with Python
de réir: Crickard, Paul
Foilsithe / Cruthaithe: (2020)

Data Structure Algorithms and Analysis
de réir: Mehta, A I
Foilsithe / Cruthaithe: (2020)