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 Machinery's Handbook Pocket Companion By Richard P. Pohanish, Christopher J. McCauley 2020 | 368 Pages | ISBN: 0831144319 | PDF | 6 MB Machinery's Handbook, Pocket Companion, is a concise yet authoritative, highly useful reference that draws its content from the Machinery's Handbook. Designed as a time saver, the Pocket Companion is an ideal quick resource for anyone in manufacturing, metalworking, and related fields for whom convenient access to just the most basic data isessential.The Pocket Companion draws on the wealth of tables, charts, and text in theMachinery's Handbook, 31st Edition. Much of the information has been reorganized, distilled, or simplified to increase the usefulness of this book, while keeping it compact. The Pocket Companion is not intended to replace the new Machinery's Handbook, 31st Edition. Instead, it serves as a handy and more portable complement to the Handbook's vast collection of text, data, and standards. FeaturesServes as a handy and portable complement to the vastly larger compilation of data, standards, and text, in theMachinery's Handbook.Revised to reflect numerous changes made in the new 31st edition, this second edition includes updated standards, key revisions, and added tables.The visual design and carefully organized presentation of fundamental and reliable data facilitates frequent and easy use, helping to save time and labor.Practitioners and students will find thePocket Companionto be a convenient ready-reference to keep nearby while working on engineering designs, on the shop or factory floor, or learning fundamentals in school and studies.ThePocket Companionalso is sold as a standalone eBook. For information on this handy format, as well as the Machinery's Handbook 31 Digital Edition, visit the Industrial Press eBookStore site at ebooks.industrialpress.com.  Machine Learning in Python for Process Systems Engineering: Achieve Operational Excellence Using Process Data English | 2022 | ISBN: n/a | 352 Pages | PDF | 18 MB
 Max A. Little, "Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics" English | 2019 | pages: 378 | ISBN: 0198714939 | PDF | 8,5 mb This book describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Taking a gradual approach, it builds up concepts in a solid, step-by-step fashion so that the ideas and algorithms can be implemented in practical software applications.  Machine Learning and Artificial Intelligence by Ameet V. Joshi English | 2023 | ISBN: 303112281X | 279 pages | True PDF EPUB | 50.86 MB
 Machine Learning and Artificial Intelligence in Healthcare Systems; Tools and Techniques; 1 by Shaikh Tawseef Ayoub English | 2023 | ISBN: 1032208309 | 357 pages | True PDF | 31.84 MB  Machine Learning Methods for Engineering Application Development by Lokulwar, Prasad;Verma, Basant;Thillaiarasu, N.; English | 2022 | ISBN: 9815079190 | 240 pages | True PDF EPUB | 26.14 MB  Machine Learning by Kalita, Jugal; English | 2023 | ISBN: 0367433540 | 298 pages | True EPUB | 12.67 MB  MCQs for FRCOphth Part 1 by Rufai, Sohaib R.; English | 2022 | ISBN: 0192843710 | 224 pages | True EPUB | 7.53 MB  MANAGING UPWARDS : THE BEGINNER'S GUIDE IN MANAGING YOUR BOSS by I. K. Butcher English | 2020 | ISBN: N/A | ASIN: B08P7SYVTT | 90 pages | MOBI | 1.77 Mb Have you been struggling with your boss? Are you a start out with the management skills to workplace excellence? Do you simply fancy the topic and wish to be armed with the artillery for Managing your Boss?  Lung Diseases and Cancer by Martinez-Garcia, Miguel Angel;Gaga, Mina;Fong, Kwun M.; English | 2022 | ISBN: 9781849841542 | 321 pages | True PDF EPUB | 51.32 MB |
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