Hi everyone
Instats is excited to offer a 1-day seminar, Machine Learning for Computational Biology, livestreaming September 8th and led by Nikolay Oskolkov from Lund University. As biological data continue to grow in scale and complexity, machine learning has become essential for analyzing and interpreting data in biostatistics, genetics, bioinformatics, ecology, genomics, and related fields. This workshop introduces key machine learning approaches for computational biology, including neural networks, random forests, k-means clustering, Gaussian Mixture Models, Markov Chain Monte Carlo methods, and autoencoders, while emphasizing practical implementation in R and Python. Through hands-on coding sessions and real-world case studies, participants will learn to build algorithms from scratch, troubleshoot and optimize models, and apply machine learning methods confidently to their own biological research questions.
Sign up today to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit!
Best wishes
Michael Zyphur
Professor and Director
Instats | instats.org
Instats is excited to offer a 1-day seminar, Machine Learning for Computational Biology, livestreaming September 8th and led by Nikolay Oskolkov from Lund University. As biological data continue to grow in scale and complexity, machine learning has become essential for analyzing and interpreting data in biostatistics, genetics, bioinformatics, ecology, genomics, and related fields. This workshop introduces key machine learning approaches for computational biology, including neural networks, random forests, k-means clustering, Gaussian Mixture Models, Markov Chain Monte Carlo methods, and autoencoders, while emphasizing practical implementation in R and Python. Through hands-on coding sessions and real-world case studies, participants will learn to build algorithms from scratch, troubleshoot and optimize models, and apply machine learning methods confidently to their own biological research questions.
Sign up today to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit!
Best wishes
Michael Zyphur
Professor and Director
Instats | instats.org