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  • Machine Learning For Absolute Beginners A Step by Step guide Algorithms For Supervised and Unsupervised Learning With Real World Applications - Raymond Kazuya
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  • Data Science : New Issues, Challenges and Applications - Gintautas Dzemyda
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  • High Performance Computing : 6th Latin American Conference, CARLA 2019, Turrialba, Costa Rica, September 25-27, 2019, Revised Selected Papers - Juan Luis CrespoMariño
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  • Optimization and Learning : Third International Conference, OLA 2020, Cadiz, Spain, February 17-19, 2020, Proceedings - Bernabé Dorronsoro
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  • Hidden Markov Models : Theory and Implementation using MATLAB® - João Paulo Coelho
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  • Digital Media and Wireless Communications in Developing Nations : Agriculture, Education, and the Economic Sector - Megh R. Goyal
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  • Beginning Data Science with Python and Jupyter : Use powerful tools to unlock actionable insights from data - Alex Galea
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  • Learning Data Mining with Python : Harness the power of Python to develop data mining applications, analyze data, delve into machine learning, explore object detection using Deep Neural Networks, and create insightful predictive models. - Robert Layton
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  • SAP-BusinessObjects-Data-Services---Complete-Reference : SAP Data Management : Book 1 - Sukant Pandey
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    Sukant Pandey
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  • Emerging Research in Data Engineering Systems and Computer Communications : Proceedings of CCODE 2019 - P. Venkata Krishna
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  • Practical MATLAB Deep Learning : A Project-Based Approach - Michael Paluszek
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    Pratap Dangeti, Allen Yu, Claire Chung, Aldrin Yim and Theodore Petrou
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    Roland Hughes
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    Malcolm Coxall
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