Matrices Courses and Certifications

Career Certificate

Linear Algebra Programming with R

Master linear algebra concepts through R programming with practical applications in data science, covering vectors, matrices, operations, eigenvalues, and statistical analysis techniques.

• CodeSignal
• 10 hours
• Self-Paced
• Free Certificate
• 3 courses

Career Certificate

Talk to Your Documents with LangChain and Go

Embark on a hands-on Go journey to build chat apps and RAG systems with LangChain: tune models, manage memory, process documents, retrieve context, and chat with your files accurately.

• CodeSignal
• 7 hours
• Self-Paced
• Free Certificate
• 3 courses

Embedding-Based Recommendation with Similarity Scoring

Master embedding-based music recommendations using vector transformations, cosine similarity, and clustering to build personalized suggestion systems.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Document Processing and Retrieval with LangChainGo

Unlock document intelligence with LangChainGo by loading, splitting, embedding documents and performing similarity searches to create context-aware AI responses.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Collections in Julia

Master arrays, dictionaries, tuples, and sets in Julia while understanding mutable vs immutable data structures to build robust, well-organized programs.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Multidimensional Arrays and Their Traversal in Scala

Master multidimensional array manipulation and traversal techniques in Scala through practical exercises involving apartment buildings, bookshelves, and game boards.

• CodeSignal
• 5 hours
• Self-Paced
• Free Certificate

Scaling up RAG with Vector Databases

1 rating

Discover how to scale RAG systems with vector databases, from preprocessing documents to managing embeddings in ChromaDB, with strategies for efficient retrieval and prompt construction.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Natural Language Processing with Classification and Vector Spaces

4639 ratings at Coursera

This is the Course 1 of the Natural Language Processing Specialization, offered by deeplearning.ai

• Coursera
• 1 day 9 hours 23 minutes
• Self-Paced
• Paid Course

Natural Language Processing with Sequence Models

1183 ratings at Coursera

Train neural networks for sentiment analysis, text generation, named entity recognition, and question comparison using advanced NLP techniques like GLoVe embeddings, GRUs, LSTMs, and Siamese models.

• Coursera
• 21 hours 6 minutes
• Self-Paced
• Paid Course

Koç University

Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications

27 ratings at Coursera

Kare matrisler, determinantlar, özdeğerler ve matris fonksiyonları üzerine derinlemesine bir inceleme. Gerçek dünya uygulamalarıyla zenginleştirilmiş ileri düzey doğrusal cebir konularını kapsar.

• Coursera
• 14 hours 40 minutes
• Self-Paced
• Paid Course

Advanced Linear Models for Data Science 1: Least Squares

192 ratings at Coursera

Explore advanced linear algebra and statistics for data science, focusing on least squares regression, matrix algebra, and linear models to enhance your analytical skills and understanding.

• Coursera
• 8 hours 27 minutes
• Self-Paced
• Paid Course

Career Certificate

Linear Algebra from Elementary to Advanced

235 ratings at Coursera

Comprehensive introduction to linear algebra, covering vectors, matrices, and their applications. Emphasizes both algebraic and geometric understanding, preparing students for advanced topics in various fields.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Linear Algebra: Linear Systems and Matrix Equations

179 ratings at Coursera

Explore linear systems, matrices, and vector equations, gaining foundational skills in linear algebra. Learn to solve and classify linear systems, understand linear transformations, and apply concepts to real-world problems.

• Coursera
• 10 hours 9 minutes
• Self-Paced
• Paid Course

Calculus through Data & Modeling: Precalculus Review

122 ratings at Coursera

Review of key precalculus concepts for calculus, focusing on functions, modeling, and data analysis. Covers exponential, logarithmic, and trigonometric functions, vectors, and equations of lines and planes.

• Coursera
• 7 hours 56 minutes
• Self-Paced
• Paid Course

Data Mining in Python

12 ratings at Coursera

Discover how to extract valuable insights from large datasets using Python, covering itemsets, vectors, matrices, and sequences with real-world applications.

• Coursera
• 2 days 5 hours 51 minutes
• Self-Paced
• Paid Course