Rating: 4.6 out of 5
If you’re looking to become an exceptional data scientist, getting a strong grasp on mathematics is crucial. In Dr. Jon Krohn’s online course, you’ll dive into the mathematics that lies at the core of machine learning algorithms and data science models. So, not only will you understand the how-tos, but you’ll also uncover the underlying magic of libraries like Scikit-learn and Keras.
The course covers everything from linear algebra data structures and tensor operations to derivatives, differentiation, and integral calculus. Each section offers hands-on assignments, Python code demos, and practical exercises to help you hone your math skills. Plus, enrollment includes future access to bonus content covering probability, statistics, data structures, algorithms, and optimization. Are you ready to elevate your data science game? Join Dr. Jon Krohn’s Mathematical Foundations of Machine Learning course and see where it takes you!
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Skills you’ll learn
- Mastery of linear algebra data structures
- Proficiency in tensor operations
- Understanding of matrix properties
- Knowledge of eigenvectors and eigenvalues
- Ability to perform matrix operations for machine learning
- Familiarity with limits, derivatives, and differentiation
- Proficiency in automatic differentiation
- Skills in partial-derivative and integral calculus
Dive into the fascinating world of machine learning with Dr. Jon Krohn and the accomplished teams at SuperDataScience and Ligency. With an impressive 115 lessons, this course covering Mathematical Foundations of Machine Learning has already captivated over 107,000 eager students, who’ve rated it a sterling 4.6 out of 5 stars. Embark on this engaging and highly-rated educational journey today!