"Machine Learning in Business: An Introduction to the World of Data Science"

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Book	Author(s)	Year	Publisher
Machine Learning in Business: An Introduction to the World of Data Science	John Hull	2020
An Introduction to Machine Learning	Miroslav Kubat	2nd ed. 2017	Springer International Publishing
An Introduction to Machine Learning	Gopinath Rebala; Ajay Ravi; Sanjay Churiwala	1st ed. 2019	Springer International Publishing
An Introduction to Machine Learning	Miroslav Kubat	3rd ed. 2021	Springer International Publishing
An Introduction to Machine Learning	Miroslav Kubat (auth.)	2015	Springer International Publishing
An Introduction to Machine Learning	Miroslav Kubat	1st ed. 2015	Springer International Publishing
Machine Learning: 2 Books in 1: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications	Hack, Samuel	2020
Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning	Maurizio Petrelli	1st ed. 2021	Springer International Publishing
Encyclopedia of Machine Learning and Data Science	Dinh Phung; Geoffrey I. Webb; Claude Sammut	0th ed. 2020	Springer US
Physics of Data Science and Machine Learning	Ijaz A. Rauf	2021	Routledge
An Introduction to Machine Learning Interpretability	Navdeep Gill, Patrick Hall	2018	O’Reilly Media, Inc.
An Introduction to Data Science	Jeffrey S. Saltz; Jeffrey M. Stanton	September 2017	SAGE Publications, Inc
Introduction to Algorithms for Data Mining and Machine Learning	Xin-She Yang	2019	Academic Press
Introduction to Machine Learning	Ethem Alpaydin	2010	MIT Press
Introduction to Machine Learning	Ethem Alpaydin	2014	MIT Press
Introduction to Machine Learning	Yves Kodratoff	1989	Morgan Kaufmann
Introduction to Machine Learning	Alex Smola, S.V.N. Vishwanathan
Introduction to Machine Learning	Yves Kodratoff	December 1988	Trans-Atlantic Publications
Introduction to machine learning /	Alpaydin, Ethem.	[2004], ©2004.	MIT Press,
Probabilistic Machine Learning: An Introduction	Kevin P. Murphy	2021	The MIT Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Introduction to AI, Data Science, and Machine Learning	Maris Sekar	Machine Learning for Auditors: Automating Fraud Investigations Through Artificial Intelligence	Maris Sekar	1st ed.	Apress
Introduction to Data Science and Machine Learning Algorithms	Gökhan Silahtaroğlu; Hasan Dinçer; Serhat Yüksel	Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods	Gökhan Silahtaroğlu; Hasan Dinçer; Serhat Yüksel	1st ed. 2021	Springer International Publishing
Machine learning applied to data science		Java for data science: examine the techniques and Java tools supporting the growing field of data science	Reese, Jennifer L.; Reese, Richard M	2017	Packt Publishing
Learning in Big Data: Introduction to Machine Learning	Khadija El Bouchefry; Rafael S. de Souza	Knowledge Discovery in Big Data from Astronomy and Earth Observation	Fathalrahman Adam andPetr Skoda	2020	Elsevier
An Introduction to Machine Learning	Mark A. Norrie	Data Analytics: Concepts, Techniques, and Applications	Mohiuddin Ahmed; Al-Sakib Khan Pathan	2018	Routledge
An Introduction to Machine Learning	Diego Oliva; Erik Cuevas	Advances and Applications of Optimised Algorithms in Image Processing	Diego Oliva; Erik Cuevas	1st ed. 2017	Springer International Publishing
An introduction to machine learning		Python Machine Learning By Example	Yuxi Liu	2020	Packt Publishing, Limited
An Introduction to Machine Learning	Hichem Sahli	TORUS 1 - Toward an Open Resource Using Services - Cloud Computing for Environmental Data	Dominique Laffly	2020	John Wiley & Sons
Data Science and Machine Learning		Advancing into Analytics: From Excel to Python and R	George Mount	2021	O'Reilly Media
Data science/machine learning workflow		Python Machine Learning Blueprints: Put Your Machine Learning Concepts to the Test By Developing Real-World Smart Projects	Alexander Combs; Michael Roman	2019-01-31	Packt Publishing
Data science versus machine learning		Simplifying Data Engineering and Analytics with Delta: Create analytics-ready data that fuels artificial intelligence and business intelligence	Anindita Mahapatra	2022	Packt Publishing
Machine learning and data science		Machine Learning in Java	AshishSingh Bhatia, Bostjan Kaluza	2018-11-28	Packt Publishing Ltd
Data science/machine learning workflow		Python Machine Learning Blueprints	Michael Roman; Alexander Combs	2019	Packt Publishing
Chapter 4 Machine learning in the Business World		Artificial Intelligence in Business	Maleehah Gull	2018-12	Society Publishing
Machine Learning and Data Science in Industries	Sudip Misra; Chandana Roy; Anandarup Mukherjee	Introduction to Industrial Internet of Things and Industry 4. 0	Sudip Misra; Chandana Roy; Anandarup Mukherjee	2021	Routledge
Machine Learning: An Introduction	Sayan Putatunda	Advances in Analytics and Applications	Arnab Kumar Laha	1st ed. 2019	Springer Nature Singapore
Data Science, Deep Learning, and Machine Learning		Computing Technologies and Applications: Paving Path towards Society 5. 0	Latesh Malik; Sandhya Arora; Urmila Shrawankar; Maya Ingle; Indu Bhagat	2021	Routledge
An introduction to machine learning methods	Alan H. Fielding	Machine Learning Methods for Ecological Applications	Alan H. Fielding	1999	Springer US
An Introduction to Adversarial Machine Learning	Atul Kumar; Sameep Mehta; Deepak Vijaykeerthy	Big Data Analytics: 5th International Conference, BDA 2017, Hyderabad, India, December 12-15, 2017, Proceedings	P. Krishna Reddy; Ashish Sureka; Sharma Chakravarthy; Subhash Bhalla	1st ed. 2017	Springer International Publishing
Machine Learning for Data Science Applications	Ravindra B. Keskar; Mansi A. Radke	Data Science and Its Applications	Aakanksha Sharaff; G. R. Sinha	2021	Routledge
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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