full screen
Home > Introducing HR Analytics with Machine Learning
Introducing HR Analytics with Machine Learning

Introducing HR Analytics with Machine Learning


     0     
5
4
3
2
1



Available


About the Book

Part I: Introducing Machine Learning: Past and Present.- The Historical Lens of Sub-Fields.- The State of the People Data Industry.- Part II: The Science, Philosophy, and Legality of using Machine Learning with People Data.- Scientific Considerations when Working with Behavioral Data.- Legal and Ethical Considerations when Working with Employee Data.- Part III: - Instruction and Application of Machine Learning in an Employee Data Context.- Introduction and Overview of Stats and Computing.- Interpret and communicate.- Data Analyzing.- Data Wrangling.
About the Author:

Christopher Rosett is Senior Director of HR Analytics and Reporting at Comcast NBC Universal. He is responsible to design and drive HR analytics and reporting for 10,000+ of Comcast's technology and customer experience employees as well as support the measurement of strategic HR initiatives.

Christopher M. Rosett has experience at several Fortune 100 companies, including Comcast, Verizon, and PepsiCo. He has built expertise from within HR specializations including organizational development, talent management, learning and development, selection strategy, and HR analytics.

Christopher's academic interests lie in industrial and organizational psychology, in which he has published and presented throughout his career on such topics such as person-environment fit, corporate communication strategy, building analytics functions, and machine learning in HR. He lives in the suburbs of Philadelphia with his wife and two sons.

Austin Hagerty is Director of Data and AI for Microsoft. He leads initiatives to promote growth in data science cloud usage through partnerships and delivery channels. Austin also teaches data science and cybersecurity bootcamps at the University of Texas at Austin.

Austin has over twenty years of technology experience spanning a variety of roles and industries. He has extensive knowledge of workforce data and analytics, having built HR data science functions for multiple organizations. Austin has been a vocal advocate for applying machine learning techniques to solve workforce problems and improve the employee experience.
Austin is an industry expert and sought-after speaker, actively presenting at and chairing conferences across the country. He resides in Austin, Texas with his wife and daughter.


Best Sellers



Product Details
  • ISBN-13: 9783030676254
  • Publisher: Springer International Publishing
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 271
  • Spine Width: 18 mm
  • Weight: 621 gr
  • ISBN-10: 3030676250
  • Publisher Date: 17 Apr 2021
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Sub Title: Empowering Practitioners, Psychologists, and Organizations
  • Width: 156 mm


Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Introducing HR Analytics with Machine Learning
Springer International Publishing -
Introducing HR Analytics with Machine Learning
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Introducing HR Analytics with Machine Learning

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Booksbay (the "CRR Service").


    By submitting any content to Booksbay, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Booksbay (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Booksbay a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Booksbay may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Booksbay's sole discretion. Booksbay reserves the right to change, condense, withhold publication, remove or delete any content on Booksbay's website that Booksbay deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Booksbay does not guarantee that you will have any recourse through Booksbay to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Booksbay reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Booksbay, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Booksbay, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals



    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!