Python: Scikit-learn – Chicago campus (2 Part Workshop)
01/16/2020 - 1:00pm
machine learning or predictive models in Python? Come learn about Python's Scikit-learn package at ... data and splitting data into training and test datasets Running a predictive classifier model using one ... variable How to evaluate and compare models Day 2 will cover: Running a predictive regression model with ...
R: Statistical and Machine Learning Models Ready to use R to analyze your data? If you’ll be using ... regression or classification models, this workshop will help you get started. Things you’ll learn in this ... workshop: Run and interpret the results of regression models. How to use the caret package for machine ...
estimation using grid search and cross validation, evaluating your models, and making predictions. It works ... with NumPy and SciPy. If you want to use Python for predictive modeling, Scikit-learn is the place to ... Fitting both supervised and unsupervised models Maximizing model performance with parameter grid search ...
R: Statistical Modeling You’ve learned the basics of R, but now you need to run your statistical ... predicted values from a model? This workshop will teach you how to compute some common types of models such ... R for models specific to your research or field. Get Started Learning Analytics 600 Foster St Lower ...
Python: Predictive Modeling with Scikit-learn (1/2)
08/13/2019 - 1:00pm
Python: Predictive Modeling with Scikit-learn (1/2) Do you want to learn from existing data, ... build predictive models, tune model parameters and determine how well the model will perform on unseen ...
Python: Predictive Modeling with Scikit-learn (2/2)
08/14/2019 - 1:00pm
Python: Predictive Modeling with Scikit-learn (2/2) Do you want to learn from existing data, ... build predictive models, tune model parameters and determine how well the model will perform on unseen ...
to find patterns in data and to build models that predict future outcomes based on historical data. ... evaluating and comparing a range of machine learning models Using refinement and reduction techniques to ... create models that best capture the predictive power of your data Running predictive models in parallel ...
R: Predictive Modeling Predictive modeling involves using variables to predict outcomes on new ... umbrella of “machine learning” are included in this definition of predictive modeling and comprise some of ...
WED@NICO SEMINAR: Steven Franconeri, Northwestern Psychology "A Neural Network Model of Human Perception + Understanding in Data Visualizations"
01/15/2020 - 12:00pm
WED@NICO SEMINAR: Steven Franconeri, Northwestern Psychology "A Neural Network Model of Human ... Science Program and Professor of Psychology, Northwestern University Title: A Neural Network Model of ... by orders of magnitude. Existing formal models for this choice are primitive, consisting of a few ...
Python: Topic Models Have text you want analyze? Would you like to know what topics appear in your ... documents without having to define the topics yourself? Topic modeling allows you to find the latent topical ...
Support Chatbot Now Available For All NU Canvas Users
intelligence) tools available today require an intent model—a kind of language model—for recognizing the user’s ... into a set of ‘buckets’ representing the different intents that are part of this model. An action ... model—a ‘dialog’ in IBM Watson Assistant—then guides the bot through a conversation in the selection of ...
CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing ... modeling. In this workshop, the essential concepts of CUDA will be introduced through examples which will ...
Making Art with AI: Tool, Collaborator, or Competitor?
05/09/2022 - 4:00pm
intersection of machine learning and music. Authors are exploring deep language models, like GPT-3, in the ... implications of today’s AI models for generative artmaking. Panelists will share their individual perspectives ...
TEACHxperts: Developing a Mastery Learning Curriculum
10/13/2017 - 12:00pm
a more thorough evaluation of the students' knowledge/practice of the material. Using a model that ... approach. Participants will work in small groups to create a curriculum using the mastery learning model ...