# data[].attributes.body
Have a book recommendation for the collection? Contact Kirstin, kduffin@eiu.edu

For books already in our collection, use this Delivery request form.

# data[].attributes.body
Sparking the math brain: Insights on what motivates students to learn

# data[].attributes.body
Bad at math? Dismantling harmful beliefs that hinder equitable mathematics education

# data[].attributes.body
Is math real? How simple questions lead us to mathematics' deepest truths (physical copy) or access ebook here

# data[].attributes.body
Numbers and figures: Six math conversations starting from scratch

# data[].attributes.body
The AMTE handbook of mathematics teacher education: Reflection on past, present and future: Paving the way for the future of mathematics teacher education

# data[].attributes.body
Check out the variety of events and workshops offered by Booth librarians this Fall 2024.

A selection is listed below.

# data[].attributes.body
Statistical literacy: A beginner's guide

# data[].attributes.headline
The LAB presents: Get Involved @ Booth BINGO

# data[].attributes.subject
The LAB presents: Get Involved @ Booth BINGO

# data[].attributes.body
Learn ways you can get involved at the Library. Snacks and GREAT prizes will be part of the fun!

Aug. 29, 6:00pm - 7:00pm

Students register here

# data[].attributes.body
Booth Library now provides subscription to The New York Times for all faculty, staff, and students! Visit this guide to find out how to set up your free subscription to the News. The subscription also comes with access to The New York Times inEducation.

# data[].attributes.body
The essence of multivariate thinking: Basic themes and methods

# data[].attributes.body
Guidance for students and faculty

From EIU's Dean of Students and FDIC, Fall 2024.

View more resources in FDIC's AI toolkit.

# data[].attributes.body
Fill out this form if you would like me to visit your class.

Did you know you can reserve the Center for Student Innovation active learning classroom for up to four sessions per semester?

# data[].attributes.body
Bring your new roommate or grab someone you met in the dining hall! The Library is hosting an evening of games, crafts, Bingo, snacks and more.

Sept. 5, 6:00pm - 8:00pm

Students register here

# data[].attributes.body
Need video footage for your class? Check out Films on Demand. Films on Demand features 40,000+ educational videos including over 1,200 videos related to Mathematics.

# data[].attributes.body
Intermediate C programming, 2nd ed.

# data[].attributes.body
How does AI know stuff?

# data[].attributes.body
Please send book and media requests to your department's library coordinator, to me directly (kduffin@eiu.edu), or fill out this form by December 1st: https://www.eiu.edu/booth/requests/suggest.html

# data[].attributes.body
This fall, EBSCOhost databases have a new look and enhanced functionality! Join a Librarian to learn about the changes and the new features available in our 40+ EBSCO article databases and ebook collections.

Scheduled throughout semester, beginning Sept. 9, 10:00am - 10:30am

Students, faculty, and staff register here

# data[].attributes.body
Understand context for hundreds of science and mathematics topics through overviews, journals, news, interactive experiments, and more.

Access here: Gale in Context: Science

# data[].attributes.body
Math and architectures of deep learning (ebook)

# data[].attributes.attachment_link.readable_text
A first look at machine learning and deep learning

A simple machine learning model: The cat brain

Understanding deep neural networks

Deep learning has transformed computer vision, natural language and speech processing in particular, and artificial intelligence in general. From a bag of semi-discordant tricks, none of which worked satisfactorily on real-life problems, artificial intelligence has become a formidable tool to solve real problems faced by industry, at scale. This is nothing short of a revolution going on under our very noses. To lead the curve of this revolution, it is imperative to understand the underlying principles and abstractions rather than simply memorizing the "how-to" steps of some hands-on guide. This is where mathematics comes in.

In this first chapter, we present an overview of deep learning. This will require us to use some concepts explained in subsequent chapters. Don't worry if there are some open questions at the end of this chapter: it is aimed at orienting your mind toward this difficult subject. As individual concepts become clearer in subsequent chapters, you should consider coming back and re-reading this chapter.

1.1 A first look at machine/deep learning: A paradigm shift in computation

1.2 A function approximation view of machine learning:Models and their training

1.3 A simple machine learning model: The cat brain

1.3.1 Input features

1.3.2 Output decisions

1.3.3 Model estimation

1.3.4 Model architecture selection

1.3.5 Model training

1.3.6 Inferencing

1.4 Geometrical view of machine learning

1.5 Regression vs. classification in machine learning

1.6 Linear vs. nonlinear models

1.7 Higher expressive power through multiple nonlinear layers: Deep neural networks

# data[].attributes.attachment_link.title
1 An overview of machine learning and deep learning · Math and Architectures of Deep Learning

# data[].attributes.attachment_link.description
A first look at machine learning and deep learning · A simple machine learning model: The cat brain · Understanding deep neural networks

# data[].attributes.body
Provides access to leading business and technical publications in the computer, telecommunications, and electronics industries.

Access here: Gale OneFile: Computer Science

# data[].attributes.body
Watch on YouTube

Time stamps:

5:35 AI myth or fact

15:51 AI 101

20:04 Research for AI and education

25:52 Prompt engineering

31:12 AI for Education prompt library

33:44 Writing a sample prompt using ChatGPT

40:17 What could AI help with

41:07 Issues to consider before use

44:13 Hallucinations

50:28 AI Launchpad webinar series

50:43 Q&A

# data[].attributes.body
Booth is happy to contact you when new titles arrive. You can also have books and media delivered to your departmental mailbox on request. Use this form to request single books or email booko@eiu.edu with your name, library number, department, and a list of books including title, author, and call number to have them pulled by our staff and and delivered to you.

# data[].attributes.body
This workshop will walk you through the basic process of taking a 3D model from a digital file to a printed 3D object.

Sept. 10, 4:00pm - 5:30pm

Students, faculty, and staff register here

# data[].attributes.body
Track, analyze, and visualize scholarly research. For an overview, see this Introduction to Scopus.

Access here: Scopus