Home
Softono
v

visualize-ml

Professional software vendor delivering innovative solutions on the Softono platform. Specialized in both open-source and proprietary software development.

Total Products
4

Software by visualize-ml

Book4_Power-of-Matrix
Open Source

Book4_Power-of-Matrix

Book4 Matrix Power is an open-source educational resource serving as the fourth installment in the Iris Book series, designed to guide readers from fundamental arithmetic to machine learning. The project focuses on demystifying matrix operations and their critical role in modern data science. Beyond its core textbook content, the initiative offers supplementary materials and direct access to related titles such as Statistics Simplified and Mathematical Elements. The resource is freely available indefinitely, encouraging community participation through open collaboration. Users are strongly encouraged to report errors or suggest improvements, with contributors recognized through book awards. This project aims to make advanced mathematical concepts accessible, bridging the gap between basic calculation techniques and complex machine learning algorithms for students and practitioners alike.

ML Frameworks
9.9K Github Stars
Book3_Elements-of-Mathematics
Open Source

Book3_Elements-of-Mathematics

Book3 Elements of Mathematics, also known as The Iris Book: From Addition and Subtraction to Machine Learning, is an open educational resource designed to guide readers from foundational arithmetic through advanced mathematical concepts essential for machine learning. This comprehensive series covers a wide spectrum of topics including statistics, linear algebra, and the mathematical principles underlying modern algorithms. The project includes auxiliary resources such as The Essence of Statistics and The Power of Matrices, all available as open-source materials with permanent validity. The content is structured to build a strong theoretical foundation while demonstrating practical applications in data science. The creators actively encourage community engagement by inviting users to identify and report errors in the text. Contributors who provide significant error corrections are recognized with free copies of the books as a token of appreciation. This initiative aims to make high-quality mathematical educat

Education & Learning ML Frameworks
7.5K Github Stars
Book6_First-Course-in-Data-Science
Open Source

Book6_First-Course-in-Data-Science

Book6First-Course-in-Data-Science corresponds to the sixth volume of the series "Data Science with Principles," known in Chinese as "The Iris Book: From Basic Arithmetic to Machine Learning." This repository serves as a companion resource for learners transitioning from foundational mathematical concepts to practical machine learning applications. It emphasizes a clear, simplified approach to statistics and data science principles, aiming to demystify complex topics for students and practitioners. The project highlights an open-source philosophy, offering permanent access to its learning materials without expiration. It encourages active community participation by inviting users to identify and report errors in the content. Contributors who provide significant corrections or suggestions are rewarded with complimentary copies of the related physical books, fostering a collaborative environment for improving educational quality. The material complements other works in the series, including "Statistics Simplifie

Education & Learning
2.7K Github Stars