Machine Learning

Need help with Machine Learning?

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Below are the consultant we have available with Machine Learning and other expertise listed.

Python Deep Learning: Parts 1-2

June 12, 2023, 2:00pm
The goal of this workshop is to build intuition for deep learning by building, training, and testing models in Python. Rather than a theory-centered approach, we will evaluate deep learning models through empirical results.
See event details for participation information.

R Deep Learning: Parts 1-2

April 19, 2023, 9:00am
This workshop introduces the basic concepts of Deep Learning — the training and performance evaluation of large neural networks, especially for image classification, natural language processing, and time-series data. Like many other machine learning algorithms, we will use deep learning algorithms to map input data to their appropriately classified outcome labels.

Using Artificial Intelligence to Help Write Code

February 28, 2023
Daniel Tan
What is ChatGPT?

ChatGPT is a natural language processing (NLP) model that has emerged as a powerful tool for a wide variety of use cases. Created by OpenAI using a deep learning model trained through reinforcement learning from human feedback, ChatGPT is able to understand and respond to questions and prompts in a human-like manner. ChatGPT has been trained on massive datasets of text from the internet, including the web pages, books, articles, and the entirety of Wikipedia. Users are also able to provide constraints or specifications to ChatGPT’s responses. Here is an...

Can Machine Learning Models Predict Reality TV Winners? The Case of Survivor

March 14, 2023
Kelly Quinn

Since its creation in 2000, the show Survivor has dropped approximately 20 contestants in a remote location and forced them to hunt for their own food and build their own shelter. While a test of physical endurance, the social dynamics and strategy are what make the show stand out from other reality television shows. In this post, I lay out the rules of the show and explore ways to leverage existing data to predict how far players will make it into the game.

The R and Python files used to clean and analyze data are available on my ...

Python Machine Learning for Data Science Discovery

March 22, 2023, 7:00pm
Overview of Machine learning, Methods of Linear Regression, Logistic Regression (Classification), and Data Preprocessing. The workshop will consist of a live coding demo with a live question-answer session.

Finley Golightly

UTech Management
Applied Mathematics

Finley is a fourth-year undergraduate student studying Applied Math at UC Berkeley. They are interested in entering a career in Data Science once they complete their Bachelor's degree.

They have been with D-Lab since Fall 2020 and are currently part of the UTech Management team. They love the learning environment of D-Lab and their favorite part of the job is their co-workers! In their free time, they enjoy reading, boxing, listening to music, and playing Dungeons & Dragons. Feel free to stop by the front desk to ask them any questions or just to chat...

Python Deep Learning: Parts 1-2

April 11, 2023, 2:00pm
The goal of this workshop is to build intuition for deep learning by building, training, and testing models in Python. Rather than a theory-centered approach, we will evaluate deep learning models through empirical results.

Aaron Culich

Consulting Drop-In Hours: By appointment only

Consulting Areas: Python, R, SQL, APIs, Cloud & HPC Computing, Databases & SQL, Bash or Command Line, Git or Github

Quick-tip: the fastest way to speak to a consultant is to first submit a request and then ...

Python Machine Learning Fundamentals: Parts 1-2

February 7, 2023, 2:00pm
This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction will be provided.

Python Machine Learning Fundamentals: Parts 1-2

April 5, 2023, 10:00am
This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction will be provided.