Inspiring Women in Data Science are a collective of educated & ambitious self-identified women who want to be on the cutting edge of innovation in data. We understand that it can sometimes be intimidating to move into a new area of learning, and that it is difficult to have your voice heard and questions answered in the rapid stream of technical innovation. We're here to help women learn and share their knowledge to a high technical level.
We aim to be a supportive and collaborative environment that helps to build skill and confidence by learning from the women who have already found success in Data Science. We wish to find the perfect balance between inciting passion for technology, and developing skills that improve the women’s professional futures.
If you have a background in data analysis or you just wish to share your ideas with like-minded women, with a view to branching out into new areas of knowledge, then we would love you to join us.
All gender minorities and supporters of gender minorities welcome.
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Evaluating and improving our Data Science models by Anastasia Gordeeva
Featuring Anastasia Gordeeva
We continue our journey in the data science life cycle understanding how to evaluate and improve the performance of our ML models.
In this session Anastasia will introduce IWDS attendees to the basics of data science and research design with R, one of the most powerful languages when it comes to...discovery data python datascience ml r
Building and Deploying Reproducible ML Pipelines
Featuring Soledad Galli
In this talk, Soledad Galli will tell us about her journey into Data Science and discuss the steps and challenges involved in putting a machine learning model into production. She will describe how we can set up an effective and reproducible machine learning pipeline, highlight the challenges to...data ml-pipelines ml
Intro to Natural Language Processing (NLP)
Featuring Gelareh Taghizadeh
Text classification is one of the most important tasks in Natural Language Processing (NLP). The goal of text classification is to automatically classify the text documents into one or more defined categories.python data diversity machine-learning datascience natural-language-processing
IWDS 23: Intro to Natural Language Processing (NLP) - 1/2
Featuring Gelareh Taghizadeh
In our next two sessions we will show you how to get started with NLP in Python. As you know, Natural Language Processing techniques are quite popular as they help data scientists to extract the knowledge from text in order to enrich their models and have better predictions. In this first...data python inspiring-women nlp machine-learning ai data-science
Choosing my career in Data
Featuring Marta Fajlhauer
All of us have that moment where it could be difficult to know what career path we would like to follow in Data. What is the difference between a data engineer, a data scientist, and a data analyst? What skills are needed?
In this session, Marta will share with us her experience and learnings to...data career data-science
Linear Regression and Binary Classification with Python
Featuring Galiya Warrier and Laura da Silva
We will continue putting our hands on coding with R and Python and understanding better the modeling stage of the CRISP-DM cycle. In this session, we will cover two important ML techniques for supervised learning: Linear Regression and Binary Classification.
You will have time for questions,...binary-classification data machine-learning r python linear-regression
Data Science in Energy
Featuring Virginia Gori
Virginia Gori will give an overview of how data science can be applied in the Energy sector and then talk a bit about her research. Virginia has a keen interest in energy demand reduction in the built environment and sustainable design, both at the urban and building level.data women-in-stem data-science