
Mathematics-Basics to Advanced for Data Science And GenAI
>_ What You'll Learn
- Master Calculus: Understand derivatives and integrals, and apply them in optimizing machine learning algorithms and data analysis tasks.
- Learn Linear Algebra: Grasp vectors, matrices, and eigenvalues, essential for building and understanding advanced data science models.
- Understand Probability: Dive into probability theory, crucial for making informed predictions and working with uncertainty in data.
- Apply Statistics: Gain practical skills in statistical analysis, helping you make data-driven decisions and interpret results effectively.
>_ Requirements
- Basic Understanding of High School Math: Familiarity with basic algebra, geometry, and arithmetic operations will help you grasp the course material more effectively.
- Curiosity About Data Science: A keen interest in learning how mathematics is applied in data science will enhance your engagement with the content.
- No Prior Programming Experience Required: While some familiarity with programming is helpful, it's not mandatory. Mathematical concepts will be the main focus.
- Willingness to Practice: Be ready to work through exercises, quizzes, and projects to reinforce your understanding and gain practical experience.
/ Course Details & Curriculum
Author and Instructor
Krish Naik, KRISHAI Technologies Private Limited
Expert at Udemy
With years of hands-on experience in Development, Krish Naik, KRISHAI Technologies Private Limited has dedicated thousands of hours to teaching and mentorship. This course is the culmination of industry best practices and a proven curriculum that has helped thousands of students transition into professional roles.
Community Feedback
Michael Chen
Verified Enrollment
"This Mathematics-Basics to Advanced for Data Science And GenAI course was exactly what I needed. The instructor explains complex Development concepts clearly. Highly recommended!"
Sarah Johnson
Verified Enrollment
"I've taken many Udemy courses on data science, machine learning & AI, but this one stands out. The practical examples helped me land a job."
David Smith
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"Great value for money. The section on Data Science was particularly helpful."
Emily Davis
Verified Enrollment
"Excellent structure and pacing. I went from zero to hero in Development thanks to this course. Lifetime access is a huge plus."
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