Create Your Own Employee Handbook
Create Your Own Employee Handbook

Author: Lisa Guerin

Publisher: Nolo

Published: 2023-12-26

Total Pages: 566

ISBN-13: 1413330762

DOWNLOAD EBOOK

Avoid legal problems and run a productive workplace with an up-to-date employee handbook! Anyone who hires and supervises employees needs clear policies when it comes to crucial issues like pay and overtime, medical leave, and social media. Create Your Own Employee Handbook provides everything business owners, managers, and HR professionals need to create (or update) a legal and plain-English employee handbook. You’ll learn all the top tips and practical suggestions for creating a polished and thorough employee handbook that addresses your company’s policies on: wages, hours, and tip pools remote work at-will employment discrimination and harassment complaints and investigations health and safety alcohol and drugs, including medical/legal marijuana workplace privacy, and email and social media. This new edition will address how to draft an employee handbook in an environment where employees might be permanently remote or working a hybrid remote schedule. With Downloadable forms: All policies and forms—along with modifications and alternative language you can tailor to your workplace—are available for download details inside.

Machine Intelligence and Signal Analysis
Machine Intelligence and Signal Analysis

Author: M. Tanveer

Publisher: Springer

Published: 2018-08-07

Total Pages: 757

ISBN-13: 981130923X

DOWNLOAD EBOOK

The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.