Enroll Course: https://www.udemy.com/course/best-ml-math/
Are you looking to dive deeper into the world of Machine Learning and Data Science? While libraries like Scikit-learn and Keras make it accessible, truly mastering these fields requires understanding the underlying mathematical principles. This is where the Udemy course “【한글자막】 Machine Learning 라이브러리 수학적 기초” (Mathematical Foundations for Machine Learning Libraries) by Dr. Jon Krohn and the Ligency Team shines.
This course is designed to equip you with the essential mathematical knowledge needed to excel in data science. It meticulously covers key concepts from linear algebra and calculus that are fundamental to machine learning algorithms and data science models. You don’t need to be a math whiz to enroll; if you can understand charts and solve simple algebraic equations (around a middle school level), you’re ready to follow along.
The curriculum is thoughtfully structured to provide a solid understanding of topics such as data structures in linear algebra, tensor calculations, matrix properties, eigenvalues and eigenvectors, matrix computations for machine learning, limits, derivatives, automatic differentiation, partial derivative calculations, and integral calculations.
What sets this course apart is its practical approach. Throughout the lectures, you’ll find numerous hands-on assignments, Python code implementations, and practical exercises designed to solidify your understanding and boost your mathematical skills. The course utilizes Python’s powerful tensor libraries, including NumPy, TensorFlow, and PyTorch, for tensor manipulation, giving you direct experience with the tools used in the industry.
Dr. Jon Krohn, a renowned data scientist and bestselling author, along with the Ligency Team, emphasizes that understanding the math behind ML is crucial for career advancement. It empowers you to not only understand existing models but also to develop novel and more robust solutions. The course is an excellent resource for refreshing forgotten concepts or learning them for the first time.
While the course is delivered in Korean with subtitles, the Q&A section requires questions to be submitted in English to facilitate responses. This is a minor point for an otherwise comprehensive and highly recommended course for anyone serious about becoming a machine learning expert.
In conclusion, if you’re ready to elevate your machine learning journey beyond just using libraries, this course provides the essential mathematical toolkit. Prepare to have your mathematical foundations strengthened and your potential in data science unlocked!
Enroll Course: https://www.udemy.com/course/best-ml-math/