"Machine Learning for Developers" - similar Books and Chapters

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Book	Author(s)	Year	Publisher
Machine Learning for Developers	Rodolfo Bonnin	0	Packt Publishing - ebooks Account
Machine Learning for Developers.	Bonnin, Rodolfo	2017	Packt Publishing
Machine Learning for iOS Developers	Abhishek Mishra	2020	John Wiley & Sons
Machine Learning Projects for. NET Developers	Mathias Brandewinder	1st ed.	Apress
Natural Language Processing and Machine Learning for Developers	Oswald Campesato	2021	Mercury Learning and Information
Practical Machine Learning in JavaScript: TensorFlow. js for Web Developers	Charlie Gerard	1st ed.	Apress
Machine learning for developers: uplift your regular applications with the power of statistics, analytics, and machine learning	Bonnin, Rodolfo	2017	Packt Publishing - ebooks Account
Machine Learning - Hands-On for Developers and Technical Professionals, Second Edition	Jason Bell	2020	John Wiley & Sons
Optimization and Machine Learning - Optimizationfor Machine Learning and Machine Learning for Optimization	Rachid Chelouah; Patrick Siarry	2022	John Wiley & Sons
Machine Learning for Text	Charu C. Aggarwal	1st ed. 2018	Springer International Publishing
Machine Learning for Text	Charu C. Aggarwal	2nd ed. 2022	Springer International Publishing
Machine Learning for Biometrics	Banshidhar Majhi; Bhabani Mishra; Madhumita Panda; Partha Sarangi andSubhashree Mishra	2022	Academic Press
Machine learning for hackers	Drew Conway	2012	O'Reilly Media
Mathematics for Machine Learning	Marc Peter Deisenroth; A. Aldo Faisal; Cheng Soon Ong	2020	Cambridge University Press
Optimization for Machine Learning	Suvrit Sra; Sebastian Nowozin; Stephen J. Wright	2011	MIT Press,
Machine Learning for Finance	Jannes Klaas	2019	Packt Publishing
Mathematics for Machine Learning	Marc Peter Deisenroth; A Aldo Faisal; Cheng Soon Ong	2020	Cambridge University Press
Machine learning for email	Conway, Drew; White, John Myles	2012	O'Reilly
Mathematics for machine learning	Deisenroth M.P	2019
Statistics for Machine Learning	Pratap Dangeti	0
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Machine learning explained for NET developers		Adopting. NET 5: Understand modern architectures, migration best practices, and the new features in. NET 5	Hammad Arif, Habib Qureshi	2020	Packt Publishing
Reasonable Learning Curve for Developers		Android Wireless Application Development Volume I: Android Essentials	Conder, Shane; Darcey, Lauren	2012	Addison-Wesley Professional
Ontologies for Machine Learning	Stephan Bloehdorn; Andreas Hotho	Handbook on Ontologies	Steffen Staab; Rudi Studer	2nd ed. 2009	Springer Berlin Heidelberg
Software for Machine Learning	Michael Paluszek; Stephanie Thomas	MATLAB Machine Learning	Michael Paluszek; Stephanie Thomas	1st ed.	Apress
Machine learning for routing	Justus Rischke; Peter Sossalla	Computing in Communication Networks	Fabrizio Granelli; Frank Fitzek andPatrick Seeling	2020	Academic Press
Tools for Machine Learning		Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addison-Wesley Data & Analytics)	Ofer Mendelevitch, Casey Stella, Douglas Eadline	2017	Addison-Wesley
Machine Learning for AI		Life Of A. I A Complete Guide	William Krystal	2020	Hoboken
Optimizer for machine learning		Hands-On Machine Learning with TensorFlow. js: A guide to building ML applications integrated with web technology using the TensorFlow. js library	Kai Sasaki	2019	Packt Publishing
Python for machine learning		Designing Machine Learning Systems with Python	David Julian	2016	Packt Publishing
Machine Learning for NLP		Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems	Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana	2020	O'Reilly Media, Inc.
Machine Learning for Business		Machine Learning for Business: Using Amazon Sagemaker and Jupyter	Doug Hudgeon, Richard Nichol	2020	Manning Pubns Co
MACHINE LEARNING FOR BEGINNERS		Machine Learning: 2 Books in 1: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications	Hack, Samuel	2020
Machine Learning for Robotics	Pieter Abbeel	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I	Peter A. Flach; Tijl De Bie; Nello Cristianini	2012	Springer Berlin Heidelberg
Machine Learning for Bioinformatics	Harshita Bhargava; Amita Sharma; Jayaraman K. Valadi	Your Passport to a Career in Bioinformatics	Prashanth N. Suravajhala	2nd ed. 2021	Springer Nature Singapore
Machine Learning for IoT	Farshad Firouzi; Bahar Farahani; Fangming Ye; Mojtaba Barzegari	Intelligent Internet of Things: From Device to Fog and Cloud	Farshad Firouzi; Krishnendu Chakrabarty; Sani Nassif	1st ed. 2020	Springer International Publishing
Machine Learning for Bioinformatics	K. Aditya Shastry; H. A. Sanjay	Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications	K. G. Srinivasa; G. M. Siddesh; S. R. Manisekhar	1st ed. 2020	Springer Nature Singapore
R for Machine Learning		Machine learning for hackers	Drew Conway	2012	O'Reilly Media
Machine Learning for Biometrics		Handbook Of Research On Machine Learning Applications and Trends: Algorithms, Methods and Techniques (2 Volumes)	Emilio Soria Olivas, Jose David Martin Guerrero, Marcelino Martinez Sober, Jose Rafael Magdalena Benedito, Antonio Jose Serrano Lopez	2009	Information Science Reference
Machine Learning for Finance		Machine Learning for Finance	Jannes Klaas	2019	Packt Publishing
Machine Learning for Molecules		Deep Learning for the Life Sciences. Genomics, Microscopy, Drug Discovery	Bharath Ramsundar, Peter Eastman, Patrick Walters, Vijay Pande	2019	O’Reilly
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries