The Role of Statistics in Machine Learning
Hosted by Women Coding Community
Details
From identifying fraud to forecasting consumer behaviour, machine learning has changed the way we tackle challenging issues. However, at the core of every successful machine learning model lies a set of essential statistical concepts. This session will explore the importance of having a solid understanding of statistics before diving into machine learning.
We will discuss key concepts like probability theory, regression analysis, and model evaluation metrics, which play an essential role in developing effective machine-learning solutions.
By the end of this session, participants will have a better understanding of how statistical knowledge may enhance their machine-learning abilities, resulting in more precise models and improved decision-making.
Schedule:
⏰ 19:00 - 19:15 Intro to Women Coding Community
⏰ 19:15 - 19:45: Talk by Busra Ecem Sakar
⏰ 19:45 - 20:00: Q&A
Speaker: Busra Ecem Sakar | LinkedIn
Busra Ecem Sakar is a seasoned Data Scientist and Senior Data Analyst with over 10 years of experience in data analysis and advanced analytics. With a strong foundation in Statistics from her bachelor's degree and dual master’s degrees in Biostatistics and Big Data & Data Science Technology, Busra excels in SQL for data analysis and is proficient in R and Python, applying machine learning and NLP techniques such as TF-IDF and Word2Vec. Her expertise in managing data ETL processes with Airflow, Python, and PyCharm has ensured high data accuracy and efficiency.
In her role as a Senior Data Analyst, Busra has led impactful projects that have significantly enhanced consumer engagement and driven substantial business growth. Her diverse experience spans the pharmaceuticals, banking, digital marketing, and software industries. Notably, during her master’s studies, she analysed participant engagement in online sessions through advanced NLP-based text transcript analysis.
Host: Silke Nodwell | LinkedIn
Silke is currently a Machine Learning Engineer at PEI Group. She holds an MSci Mathematics, First Class Honours, from Imperial College London. In addition to her role at PEI, Silke is a Lead at Women Coding Community, where she runs the bookclub, contributes to the technical blog, and organises talks by inspirational women. In her free time, she enjoys running and is currently training for her first marathon in May 2024.
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Empowering women in their tech careers through education, mentorship, community building, and career services is our mission. We provide workshops and events, connect members with industry mentors, foster a supportive community through meetups and conferences, and raise awareness for more inclusive industry practices.
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At Women Coding Community we are committed to a vibrant, supportive community. When attending our events, all members should follow our Code of Conduct. The full version you can find following the link:
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