There’s Nothing Artificial About What AI Can Do For Your Organization
Are you excited, confused, bewildered, skeptical, or just ignoring all the talk about AI? No matter what your feelings are about it, AI is going to be part of advancement services as it transforms fundraising the same way it is transforming every other sector of our economy and society.
This AI workshop is designed to give you the fundamental knowledge you need to navigate the hype and get to the very real applications of AI in advancement. You will learn how to determine if AI is, or isn’t, the right tool for your problem. You will learn how models are created and watch as they learn in real-time. You will be guided through a process enabling you to frame a problem; identify end-user requirements and challenges; catalog data sources; select the right AI tools; and architect the systems for delivering actionable insights. Finally, you will see demonstrations of both embedded and stand-alone AI-enabled applications being used today to increase the effectiveness and efficiency of advancement.
You can register here and join the conversation today!
As Apra-MN develops a strategic plan that will guide its efforts over the next three years, they are intentionally building diversity, equity, and inclusion core values into their mission. Along with other Apra chapters, Apra-MN is examining internal biases and developing practices that promote DEI in our professional organizations and our industry. Reflecting, listening to each other, and learning from one another’s experiences all contribute toward understanding and embracing DEI core values.
Thank you to @GordonJayFrost and @DonorSearch for the opportunity to discuss the importance of creating an organizational culture of experimentation. Drawing on technology disruption, design thinking, and diffusion of innovation concepts, we share some thoughts and insights on the potential benefits of embracing change and how to build and foster an organizational culture of experimentation towards efficiency, impact, and shared success. https://hubs.la/H0xDKCP0
A NanoConference, offered by PyroTalks CIC, is a first of its kind conference that answers the changing needs of how we consume knowledge. NanoConferences are concise, precise, and social by design, and help make specialist knowledge more accessible for non-profits.
Looking forward to connecting with other development practitioners at NanoConference 03 and sharing helpful career advice we have received, the advice we would give now, and some tips on how to excel in our respective domains of expertise.
Passionate advancement professionals are always ready to share their thoughts on “hot” topics in the industry. Be ready for an interactive and informative discussion with industry thought leaders as they share their perspectives on the rapid evolution of technology in our sector. Part conversation, part debate, this session will help us think critically about the tools that are shaping our work. With new tools and technologies emerging at a record pace, are we doing enough to critically evaluate the tools we use? Are they improving our work, or are they just the next shiny objects? Join us for a spirited discussion around data quality, verification, the ethics of Artificial Intelligence, and more.
Please consider joining us and click here for more information.
Apra #PDVE2020 is finally here! Are you ready to join us for four days of action-packed programming and inspiring content?
Thanks to all the chapters for providing extra scholarships to allow their chapter members to attend. Thanks also to everyone who registered and to our sponsors for your support of Apra! For those of you who can’t attend, please follow along here and on Twitter using #PDVE2020 to get some live event updates!
And, of course, many thanks to all of our amazing speakers and volunteers who support the Apra community!
Please consider joining us on DRIVE/ 2020 Day 2 (Friday, May 29, 2020) for the following session on using the new U.S. Census Bureau’s APIs to access the latest ACS data sets:
The U.S. Census Bureau’s American Community Survey: Datasets, Resources, and Use Cases
Discover how free statistics and data tools from the U.S. Census Bureau are foundational for your institution’s next data-driven decision. This session provides an overview and demonstration of the American Community Survey (ACS), the nation’s most current, reliable, and accessible data source for local statistics. You can use the ACS to understand the demographics of the population or learn more about neighborhoods where alumni live. View a demonstration on tools that can be used to access ACS data and a current ACS data user discusses how ACS data helps them make data-driven decisions.
Rodger Devine, Associate Dean of External Affairs for Strategy and Innovation, University of Southern California – Dornsife College of Letters, Arts and Sciences; Amanda Klimek, Survey Statistician, ACSO Outreach and Education Branch, U.S. Census Bureau; Michael Pawlus, Data Scientist, The Ohio State University
Data— empowering nonprofits to harness the power of data to achieve Results— producing outcomes while ensuring data security and privacy through Intelligence— gaining insight to make better business decisions and delivering Value— to those in the data field and leaders using data via Education— offered year-round with evolving curriculum and innovative learning experiences
Offered for the first time, DRIVE/Cast Livestream gives you the chance to experience all the great data and analytics content in the comfort of your own office or home. With dynamic key sessions, informative breakouts, and an interactive chat platform, this virtual program is your opportunity to be in the fast-lane to explore all things data.
Why Deep Learning with R?
Deep learning enables efficient and accurate learning from data. Developers working with R will be able to put their knowledge to work with this practical guide to deep learning. The book provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time. You will explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and Deepnet.
Who this book is for?
This book is for data scientists, machine learning engineers, and deep learning developers who are familiar with machine learning and are looking to enhance their knowledge of deep learning using practical examples. Anyone interested in increasing the efficiency of their machine learning applications and exploring various options in R will also find this book useful. Basic knowledge of machine learning techniques and working knowledge of the R programming language is expected.
What you will learn:
Design a feedforward neural network to see how the activation function computes an output
Create an image recognition model using convolutional neural networks (CNNs)
Prepare data, decide hidden layers and neurons and train your model with the backpropagation algorithm
Apply text cleaning techniques to remove uninformative text using NLP
Build, train, and evaluate a GAN model for face generation
Understand the concept and implementation of reinforcement learning in R