Modern Machine Learning Techniques
In the rapidly evolving field of machine learning, understanding and applying modern machine learning techniques is becoming increasingly crucial. This is particularly true for those engaged in academic research, where the ability to analyze and interpret complex data sets can provide a significant edge. The 'Modern Machine Learning Techniques' workshop, led by Ricardo Vilalta from the Department of Computer Science, University of Houston, offers a comprehensive exploration of modern machine learning techniques. This two-day workshop is designed to equip Ph.D. students, professors, and professional researchers with the knowledge and skills they need to stay at the forefront of their respective fields, particularly if they already have some familiarity with more introductory machine learning methods.
The importance of machine learning in academic and applied research cannot be overstated. It can potentially revolutionize how we approach data analysis, enabling us to draw more accurate conclusions and make more informed decisions. This workshop, under the expert guidance of Ricardo Vilalta, provides a valuable opportunity to delve into the intricacies of modern machine-learning techniques. Participants will understand the subject matter deeply and learn how to apply these techniques to their research.
The workshop will cover a range of topics, including:
- Meta-learning
- Transfer learning
- Domain adaptation
- Active learning
- Deep learning
- Bayesian networks
- Hands-on sessions to apply learned concepts on real-world datasets
- Discussion on recent advancements and future trends in machine learning
For PhD students and academic researchers, this workshop offers critical learning outcomes. Participants will gain a solid understanding of modern machine-learning techniques and how to implement them. Furthermore, the workshop will provide insights into the latest trends and future directions in machine learning, preparing participants for future advancements in the field.
For all livestreaming seminars, each seminar is taught via Zoom and features take-home skill challenges. All Zoom recordings and material (including program input, output, data, and slides) are available online for 30 days after the seminar concludes – if you prefer to attend asynchronously or revisit the seminar content afterward. The instructor will also monitor an online seminar chat forum for 30 days after the seminar concludes so that you can ask questions about the content outside of the live seminar sessions. For all on-demand seminars, all videos and material (including program input, output, data, and slides) will be available for 30 days after you activate your enrolment, which you can do anytime after you purchase the on-demand seminar. An official Instats certificate of completion is provided after all seminars. Our seminars offer ECTS Equivalent points for European students, which are indicated on the certificate of completion provided after each seminar (see the Instats FAQ for details).