Construction Bidding: Strategic Pricing for Profit, 2nd Edition Park, Willia…
Condition Notes: Book is in very good condition. Clean with little to no signs of wear or markings highlights.
Condition Notes: Book is in very good condition. Clean with little to no signs of wear or markings highlights.
The BJU Press Elements of Literature, Second Edition, Student Textbook is a comprehensive literary studies textbook designed for high school students. Authored by Barbara J. Rooks, Kimberly Y. Stegall, and Bethany Harris, this book covers various elements of literature in American English. With a total of 480 pages, this textbook offers advanced and intermediate level content, making it a valuable resource for educators teaching literature in a classroom setting. The teacher’s edition features further support and guidance for educators looking to enhance their students’ literary understanding.
“Introduction to Machine Learning with Python: A Guide for Data Scientists” by Sarah Guido and Andreas C. Müller is a comprehensive textbook published by O’Reilly Media in 2016. This trade paperback book covers programming, algorithms, natural language processing, and programming languages, specifically focusing on Python. With 398 pages, this book provides a detailed introduction to machine learning techniques for data scientists looking to enhance their skills in this specific area. The authors offer valuable insights and practical guidance for readers looking to deepen their understanding of machine learning with Python.
“Introduction to Machine Learning with Python: A Guide for Data Scientists” by Sarah Guido and Andreas C. Müller is a comprehensive textbook published by O’Reilly Media in 2016. This trade paperback book covers programming, algorithms, natural language processing, and programming languages, specifically focusing on Python. With 398 pages, this book provides a detailed introduction to machine learning techniques for data scientists looking to enhance their skills in this specific area. The authors offer valuable insights and practical guidance for readers looking to deepen their understanding of machine learning with Python.
Notes: Item in acceptable condition!