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Linear Algebra for Machine Learning & AI
Coursera
Course
Unknown

Linear Algebra for Machine Learning & AI

Birla Institute of Technology & Science, Pilani

Gain a strong mathematical foundation in linear algebra to develop skills in machine learning and AI through advanced concepts and practical models.

Unknown10 weeksEnglish, HU

About this Course

Unlock the powerful world of Machine Learning and Artificial Intelligence with our comprehensive, hands-on course on Linear Algebra. This course serves as an essential stepping stone for aspiring data scientists, AI practitioners, software developers, and tech enthusiasts eager to build a solid mathematical foundation for these high-demand fields. Designed for individuals pursuing a career in tech or enhancing skills in data analysis and AI development, this course bridges theoretical mathematics with practical AI applications. Dive into key concepts such as matrices, linear systems, eigenvalues, linear transformations, and linear programming. Through practical exercises, interactive discussions, and real-world applications, you'll develop analytical skills and systematic problem-solving capabilities crucial for optimizing models and analyzing data. Ideal for professionals aiming to up skill for roles in machine learning engineering, AI research, data science, and software development, this course empowers you to advance your career and become an essential contributor to the tech industry. Master the mathematical secrets behind AI and Machine Learning to enhance your career prospects and stay ahead in the digital age. Enrol today and transform your understanding of linear algebra into a valuable asset for the future

What You'll Learn

  • Analyse and evaluate complex data structures using advanced linear algebra techniques
  • Implement sophisticated algorithms and apply advanced techniques to optimise and improve machine learning models
  • Synthesise and apply mathematical theories to solve complex real-world problems
  • Evaluate and develop innovative solutions using linear programming to address complex challenges in machine learning and AI systems

Prerequisites

  • No deep prior experience is required, but basic computer and internet skills are helpful
  • Ability to read course instructions in English and complete short practice activities

Instructors

B

BITS Pilani Instructors Group

Topics

Machine Learning
Data Science
Algorithms
Computer Science
Applied Mathematics
Data Analysis
Data Manipulation
Numerical Analysis
Machine Learning Algorithms
Artificial Neural Networks

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

التعلم الآلي
علوم البيانات
الخوارزميات
علم الحاسوب
الرياضيات التطبيقية
تحليل البيانات
معالجة البيانات
التحليل العددي
Machine Learning Algorithms
Artificial Neural Networks

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