Machine Learning proved to be an effective approach to detection of patterns in large datasets, feature selection and classification. However, NGS Transcriptomic data has unique challenges for processing and preparation for these methods and selecting the right approaches to avoid over-fitting and tuning for effective application. Pine Biotech is partnering with a number of universities to offer hands-on workshops that demonstrate the logic and effective use of conventional machine learning methods to large-scale transcriptomic data for a wide audience. The workshops are designed for those interested in extracting meaningful insights from data but lack the computer science and statistics background. Practical exercises during workshops enable participants to get hands-on experience with techniques and practice them on precision medicine datasets. Learn more about these workshops here: https://edu.t-bio.info/workshops/