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Workshops

Workshops

In the academic year of 2023-2024, we will be hosting a series of workshops in term 1 and 2. Each workshop will be approximately 2 hours long, on campus. This will aim to guide members who have an interest in data science and machine learning from beginners to being able to apply state of the art deep learning models.

 

Did we mention there will be free pizza at the workshops?

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Upcoming Workshops

ML Zero to Hero

Every Monday, 6.30pm – 8.30pm, Huxley 140

Lecture 1: Python Fundamentals

Date & Time: 16th October 2023 6.30pm – 8.30pm

Location: HUXLEY 140

– Variables, functions, loops, classes and objects

Lecture 2: End-to-end Project

Date & Time: 23rd October 2023 6.30pm – 8.30pm

Location: HUXLEY 140

– Data analysis and visualisation

– Build a regression model to predict housing prices

– Regressors, Trees and Forests in Scikit-Learn

Lecture 3: Image Classification

Date & Time: 30th October 2023 6.30pm – 8.30pm

Location: HUXLEY 140

– Classifying pictures using:

– Scikit-Learn models

– Deep Neural Networks

– Convolutional Neural Networks

Lecture 4: Analysing Series Data

Date & Time: 6th November 2023 6.30pm – 8.30pm

Location: HUXLEY 140

– RNNs, LSTMs, GRUs and Transformers

– Sentiment analysis NLP

Advanced Analytics: Building Data Platforms

Every Thursday, 6.30pm – 8.30pm, Huxley 341

Prerequisite: Working knowledge of Python

Lecture 1: Cloud Architecture and Infrastructure as Code

Date & Time: 19th October 2023 6.30pm – 8.30pm

Location: HUXLEY 341

  • Cloud Architecture Fundamentals

  • Introduction to AWS Cloud Development Kit

Lecture 2: Data Engineering

Date & Time: 26th October 2023 6.30pm – 8.30pm

Location: HUXLEY 341

  • Extract Transform Load

  • Building ETL Pipelines in AWS

  • Data Warehousing 

Lecture 3: Machine Learning & MLOps

Date & Time: 2nd November 2023 6.30pm – 8.30pm

Location: HUXLEY 341

  • Designing Machine Learning Systems

  • Introduction to MLOps

Lecture 4: Generative AI

Date & Time: 9th November 2023 6.30pm – 8.30pm

Location: HUXLEY 341

  • Introduction to Foundation Models

  • Langchain, Embedding Models and Knowledge Integration

  • Building a Chatbot with LLMs and Retrieval Augmented Generation

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