"Prepare Your Data For Machine Learning With Pre-Processing"

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Book	Author(s)	Year	Publisher
Signal Processing and Machine Learning for Biomedical Big Data	Ervin Sejdić; Tiago H. Falk	2018	Routledge
Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics	Max A. Little	2019	Oxford University Press
Machine Learning for OpenCV: Intelligent image processing with Python	Michael Beyeler	2017	Packt Publishing
Machine Learning for Streaming Data with Python: Rapidly build practical online machine learning solutions	Joos Korstanje	2022	Packt
Signal processing and machine learning for brain-machine interfaces	Tanaka, Toshihisa(Editor); Arvaneh, Mahnaz(Editor)	2018	The Institution of Engineering and Technology
Machine Learning with the Elastic Stack: Gain valuable insights from your data with Elastic Stack's machine learning features	Rich Collier; Camilla Montonen; Bahaaldine Azarmi	2021	Packt Publishing
Machine Learning for Big Data Analysis	Siddhartha Bhattacharyya; Hrishikesh Bhaumik; Anirban Mukherjee; Sourav De	2019	De Gruyter
Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python	Akshay Kulkarni; Adarsha Shivananda	1st ed.	Apress
Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning Using Python	Akshay Kulkarni; Adarsha Shivananda	2nd ed.	Apress
Privacy-Preserving Machine Learning for Speech Processing	Manas A. Pathak	2013	Springer New York
Granular Computing Based Machine Learning: A Big Data Processing Approach	Han Liu; Mihaela Cocea	1st ed. 2018	Springer International Publishing
Data Processing with Optimus: Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark	Dr. Argenis Leon, Luis Aguirre	2021	Packt Publishing
Document Processing Using Machine Learning	Sk Md Obaidullah; KC Santosh; Teresa Goncalves; Nibaran Das; Kaushik Roy	2019	Routledge
Machine Learning for Data Streams: with Practical Examples in MOA	Albert Bifet; Ricard Gavaldà; Geoff Holmes; Bernhard Pfahringer; Francis Bach	2018	MIT Press
Machine Learning for Data Streams: with Practical Examples in MOA	Albert Bifet; Ricard Gavaldà; Geoff Holmes; Bernhard Pfahringer	2018	IEEE Xplore,;The MIT Press
Applied Machine Learning for Smart Data Analysis	Nilanjan Dey; Sanjeev Wagh; Parikshit N. Mahalle; Mohd. Shafi Pathan	2019	Routledge
Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing	Taweh Beysolow II	1st ed.	Apress
Natural Language Processing and Machine Learning for Developers	Oswald Campesato	2021	Mercury Learning and Information
Machine Learning Mastery With R: How to Prepare Data and Develop Models to Predict the Future	Jason Brownlee	2016	Independently Published
Machine Learning and Big Data with kdb+/q	Jan Novotny	2019	John Wiley & Sons
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Prepare Your Data For Machine Learning With Pre-Processing		Machine Learning Mastery With R: How to Prepare Data and Develop Models to Predict the Future	Jason Brownlee	2016	Independently Published
Machine Learning: Data Pre‐processing		Prognostics and Health Management of Electronics: Fundamentals, Machine Learning, and the Internet of Things	Michael G. Pecht; Myeongsu Kang	2019	Wiley-IEEE Press
Prepare the Data for Machine Learning Algorithms		Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd Edition	Aurélien Géron	2019	O'Reilly
Prepare the Data for Machine Learning Algorithms		Hands-On Machine Learning with Scikit-Learn and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems	Aurélien Géron	2017	O'Reilly Media
Prepare the Data for Machine Learning Algorithms		Hands-On Machine Learning with Scikit-Learn and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems	Géron, Aurélien	2017	O'Reilly Media
Prepare your data		Deep Learning with PyTorch	Vishnu Subramanian	2018	Packt Publishing
Prepare Your Data		Breakthrough Improvement with QI Macros and Excel	Jay Arthur	2014	Mc Graw Hill Education
Pre- and Post-processing in Machine Learning and Data Mining	Ivan Bruha	Machine Learning and Its Applications: Advanced Lectures	Georgios Paliouras; Vangelis Karkaletsis; Constantine D. Spyropoulos	2001	Springer Berlin Heidelberg
Data Pre-processing	Max Kuhn; Kjell Johnson	Applied Predictive Modeling	Max Kuhn; Kjell Johnson	2013	Springer New York
Data Pre-Processing	Peter Christen	Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection	Peter Christen	2012	Springer Berlin Heidelberg
Data Pre-processing	Brian Malley; Daniele Ramazzotti; Joy Tzung-yu Wu	Secondary Analysis of Electronic Health Records	MIT Critical Data	1st ed. 2016	Springer International Publishing
Data Pre-processing	Steven Finlay	Credit Scoring, Response Modelling and Insurance Rating: A Practical Guide to Forecasting Consumer Behaviour	S. Finlay	2010	Palgrave Macmillan UK
Data Pre-processing	Peter Wlodarczak	Machine Learning and its Applications	Peter Wlodarczak	2019	Routledge
Data Pre-processing		Encyclopedia of Big Data	Laurie A. Schintler; Connie L. McNeely	1st ed. 2022	Springer International Publishing
Data Pre-processing	Åsmund Rinnan; Lars Nørgaard; Frans van den Berg; Jonas Thygesen; Rasmus Bro; Søren Balling Engelsen	Infrared Spectroscopy for Food Quality Analysis and Control	Da-Wen Sun	2009	Academic Press
Data Pre-processing		Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry: Third International Conference, MDA	Petra Perner, Ovidio Salvetti	2008	Springer
Data Pre-processing		Data Mining Theory, Methodology, Techniques, and Applications	Eds Simoff S., Williams G.	2006	Springer
Data Pre-Processing		Machine learning algorithms using Python programming	Gaurav Patil; Gopal Sakarkar; Prateek Dutta	2021	Nova Science Publishers
Data pre-processing		Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks	Ahmed Menshawy	2018	Packt Publishing
Need For Data Pre-Processing		Machine Learning Mastery With R: How to Prepare Data and Develop Models to Predict the Future	Jason Brownlee	2016	Independently Published
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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