Abstract Linear Algebra for Machine Learning
Quantum Formalism: Inaugural Specialization Bootcamp
Hello Abstract Mathematics Enthusiasts,
We're excited to share some news and updates as we celebrate the fifth anniversary of the Quantum Formalism Community. The goal is to enrich the learning experience in our Community and strengthen our foundation for breakthroughs in quantum computing. To mark this occasion, our QF's Specialists have prepared a series of specialization courses. Please check below the full article of our inaugural specialisation Bootcamp.
Jacqueline Novak
Community Experience Manager
Zaiku Group
It is well-known that many new ML engineers and data scientists often face a gap in mathematical skills. Even seasoned practitioners can sometimes feel limited by insufficient mathematical knowledge. While learning to implement an ML algorithm in Python through tutorials is valuable, truly understanding why and how the algorithm works requires a deeper grasp of the underlying mathematics. It is also a fact that ML professionals with strong mathematical skills tend to receive higher salaries and more competitive compensation packages compared to those with lesser mathematical expertise.
Hence, we want to share our inaugural specialisation bootcamp: ‘Abstract Linear Algebra for Machine Learning’. This beginner-friendly yet rigorous course is designed to help learners master the fundamental mathematics toolkit of machine learning through a hands-on approach.
We're charging a small fee of $180 for this specialised twelve weeks bootcamp. However, we have reserved a limited number of spots with a 40% discount (link below) for the QF community.
Bootcamp page with brochure: https://quantumformalism.com/abstract-linear-algebra-for-ml
Promo code: QFABLA24. The offer expires at the end of July, but please be aware it might be deactivated earlier if the discount enrollment threshold is met. If you know others who might be interested in the course, feel free to share the link and promo code with them.
If you haven't taken our courses before, we invite you to visit quantumformalism.com to explore our past and ongoing free courses. We are also planning a follow-up specialisation on 'Lie Groups and Representations for Geometric Deep Learning'.
While online mathematical courses offered through platforms like Coursera have revolutionised access to education by making high-quality content available to a global audience, they often fall short in providing the interactive and engaging learning environment that live lectures offer. In these video-based courses, learners are left to passively consume information without the opportunity to ask questions in real time or receive immediate clarification on complex topics. This lack of direct interaction can lead to misunderstandings and gaps in knowledge, particularly in subjects as intricate as advanced linear algebra.
Moreover, the absence of hands-on support and personalised feedback can hinder a student's ability to fully grasp and apply the material. Online video-based courses often lack the collaborative elements that are crucial for deeper learning, such as group discussions, problem-solving sessions, and one-on-one mentoring. These components are essential for developing a robust understanding and fostering a sense of community among learners. By contrast, live lectures provide a dynamic and responsive learning environment where students can engage directly with instructors and peers, facilitating a more comprehensive and supportive educational experience.
Come onboard and begin your adventure in mastering machine learning!
QF team