Feature engineering for machine learning : principles and techniques for data scientists /

Feature engineering for machine learning : principles and techniques for data scientists /

Saved in:

Bibliographic Details
Main Authors:	Zheng, Alice (Author), Casari, Amanda (Author)
Format:	eBook
Language:	English
Published:	Sebastopol, CA : O'Reilly Media, 2018.
Edition:	First edition.
Subjects:	Machine learning. Data mining.
Online Access:	CONNECT CONNECT

Similar Items

Merkmalskonstruktion für Machine Learning : Prinzipien und Techniken der Datenaufbereitung /
by: Zheng, Alice,, et al.
Published: (2019)

Evaluating machine learning models : a beginner's guide to key concepts and pitfalls /
by: Zheng, Alice,
Published: (2015)

Machine learning and data science : fundamentals and applications /
Published: (2022)

Introduction to algorithms for data mining and machine learning /
by: Yang, Xin-She,
Published: (2019)

Scalable machine learning : complex data analysis at scale /
Published: (2015)

Praxiseinstieg Machine Learning mit Scikit-Learn und TensorFlow : Konzepte, Tools und Techniken für intelligente Systeme /
by: Raschka, Sebastian,
Published: (2018)

Introduction to statistical and machine learning methods for data science /
by: Reis Pinheiro, Carlos Andre, 1940-
Published: (2021)

What every engineer should know about data-driven analytics /
by: Srinivasan, Satish Mahadevan,, et al.
Published: (2023)

Practical machine learning for data analysis using python /
by: Subasi, Abdulhamit,
Published: (2020)

Mastering machine learning on AWS : advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow /
by: Mengle, Saket S. R.,, et al.
Published: (2019)

Feature engineering made easy : identify unique features from your dataset in order to build powerful machine learning systems /
by: Ozdemir, Sinan,, et al.
Published: (2018)

R machine learning by example : understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully /
by: Bali, Raghav,, et al.
Published: (2016)

Feature Store for Machine Learning : Curate, Discover, Share and Serve ML Features at Scale.
by: Kumar M.J., Jayanth.
Published: (2022)

Statistical learning and data science /
Published: (2012)

Knowledge discovery with support vector machines /
by: Hamel, Lutz.
Published: (2009)

The path to predictive analytics and machine learning /
by: Doherty, Conor,
Published: (2017)

Real world active learning : applications and strategies for human-in-the-loop machine learning /
by: Cuzzillo, Ted,
Published: (2015)

Machine Learning for Financial Engineering.
by: Gyorfi, Laszlo.
Published: (2012)

Scaling up machine learning : parallel and distributed approaches /
Published: (2012)

Scaling up machine learning : parallel and distributed approaches /
Published: (2012)

Machine learning and big data : concepts, algorithms, tools and applications /
Published: (2020)

Machine learning and big data : concepts, algorithms, tools and applications /
Published: (2020)

Graph Machine Learning : Take Graph Data to the Next Level by Applying Machine Learning Techniques and Algorithms.
by: Stamile, Claudio.
Published: (2021)

Leveraging multi-CDN at Riot Games /
Published: (2017)

Agile machine learning with Datarobot : automate each step of the machine learning life cycle, from preparing data to delivering value /
by: Chadha, Bipin,, et al.
Published: (2021)

Machine learning engineering with MLflow manage the end-to-end machine learning lifecycle with MLflow /
by: Lauchande, Natu,
Published: (2021)

The art of feature engineering : essentials for machine learning /
by: Duboue, Pablo, 1976-
Published: (2020)

R deep learning projects : master the techniques to design and develop neural network models in R /
by: Liu, Yuxi,, et al.
Published: (2018)

Feature engineering bookcamp /
by: Ozdemir, Sinan,
Published: (2022)

New Age Analytics.
by: Luna, Alvin Albuero De.
Published: (2020)

Next-generation sequencing and sequence data analysis /
by: Ping Chiu, Kuo,
Published: (2016)

Effective Amazon machine learning : machine learning in the Cloud /
by: Perrier, Alexis,
Published: (2017)

Machine learning under resource constraints.
Published: (2023)

Applied machine learning for health and fitness : a practical guide to machine learning with deep vision, sensors, IoT, and VR /
by: Ashley, Kevin (Software architect)
Published: (2020)

Machine Learning Methods for Engineering Application Development.
by: Lokulwar, Prasad.
Published: (2022)

Recommending art with feature engineering /
Published: (2022)

The unsupervised learning workshop get started with unsupervised learning and simplify unorganized data to make predictions /
by: Jones, Aaron,, et al.
Published: (2020)

Machine Learning kompakt : Alles, was Sie wissen müssen /
by: Burkov, Andriy,
Published: (2019)

Machine learning engineering in action /
by: Wilson, Ben (Computer engineer),
Published: (2022)

Implementing machine learning for finance : a systematic approach to predictive risk and performance analysis for investment portfolios /
by: Nokeri, Tshepo Chris.
Published: (2021)