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- Suhas Diggavi
- EC ENGR 246
AD
Based on 2 Users
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- Tough Tests
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
Grade distributions are collected using data from the UCLA Registrar’s Office.
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AD
This course requires strong mathematical background. Completing lecture notes and homework is far less enough. The instructor expects you finish all course readings and extra practice if you need a satisfactory grade. Don't take it unless you are very confident in challenging math problems. Otherwise the exam will surprise you.
The professor explains concepts very clearly, but the material can be challenging and requires a strong mathematical background. However, if you're willing to put in the effort to understand the math, you'll gain a solid grasp of the most important aspects of machine learning theory, which are crucial for research and future studies. Despite the difficulty of the content, the professor grades fairly.
This course requires strong mathematical background. Completing lecture notes and homework is far less enough. The instructor expects you finish all course readings and extra practice if you need a satisfactory grade. Don't take it unless you are very confident in challenging math problems. Otherwise the exam will surprise you.
The professor explains concepts very clearly, but the material can be challenging and requires a strong mathematical background. However, if you're willing to put in the effort to understand the math, you'll gain a solid grasp of the most important aspects of machine learning theory, which are crucial for research and future studies. Despite the difficulty of the content, the professor grades fairly.
Based on 2 Users
TOP TAGS
- Tough Tests (2)