Machine Learning via Rust

· · · · · · ·
· Semi-Numerical Series Book 1 · RantAI
Ebook
131
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About this ebook

Transform Machine Learning with Rust! 🤖🦀

Introducing MLVR - Machine Learning via Rust—the groundbreaking textbook that seamlessly blends the theoretical rigor of machine learning with the modern, high-performance capabilities of the Rust programming language! 🚀 Whether you're a student embarking on your machine learning journey or a professional looking to elevate your skills, MLVR is your comprehensive guide to mastering machine learning with Rust’s unparalleled strengths in performance, safety, and concurrency. ✨

Why Choose MLVR?

🔍 Comprehensive Coverage: From classical models like linear regression and neural networks to cutting-edge techniques such as AutoML and reinforcement learning, MLVR covers it all.

💡 Modern Integration: Leverage Rust’s unique ownership model and advanced type system to implement machine learning algorithms with unmatched safety and efficiency.

🛠️ Practical Implementation: Benefit from step-by-step coding guides, clear explanations, and real-world applications that bridge the gap between theory and practice.

🤖 Performance & Safety: Harness Rust’s core strengths to build machine learning models that are not only fast but also memory-safe and concurrent.

Unlock the Benefits:

High Performance: Optimize machine learning models to run at peak speed using Rust’s low-level control without compromising on safety.

Scalable Solutions: Implement scalable and efficient machine learning systems that can handle large datasets and complex computations.

Robust Deployments: Deploy machine learning models with confidence, knowing that Rust’s strong type system and ownership model prevent common programming errors.

What You'll Explore:


Foundations of Machine Learning: Understand the essential concepts and algorithms that form the backbone of machine learning.

Advanced Techniques: Dive into sophisticated methods like AutoML and reinforcement learning, tailored for Rust’s ecosystem.

Real-World Applications: Apply your knowledge to real-world projects, showcasing the practical power of Rust in machine learning.

Optimization Strategies: Learn how to fine-tune your models for maximum performance and efficiency using Rust’s capabilities.

Perfect For:


Students seeking a solid foundation in machine learning with a modern programming language.

Professionals aiming to enhance their machine learning expertise and optimize their Rust projects.

Developers of all levels who want to implement, optimize, and deploy machine learning models effectively using Rust.

Embrace the future of machine learning—transform your skills and projects with MLVR - Machine Learning via Rust’s innovative and comprehensive approach! 📚🌟

Start your journey towards mastering machine learning with Rust today and unlock new possibilities in this rapidly evolving field! 🏆

#MachineLearning #RustProgramming #MLVR #DataScience #AI #TechBooks #LearnRust #DeveloperSkills #SoftwareEngineering

About the author

Evan Pradipta Hardinatha is a passionate software and web developer with a robust foundation in Full Stack Development, specializing in Rust, React, and Next.js. A fresh graduate from Telkom University, Evan honed his technical skills through participation in programs like Bangkit 2023 and his role at the Software Engineering and Application Laboratory, where he served as Vice Leader of the Laboratory Assistant team.

In addition to his technical expertise, Evan has developed significant leadership and project management experience. His roles in organizations such as Telkom University Esports, where he served as Secretary, and PMK Telkom University, where he led as Head of Media Production, have helped him cultivate a deep understanding of managing teams and executing projects efficiently.

Currently, Evan is channeling his skills and entrepreneurial spirit into building RantAI, a startup he co-founded, where he holds the position of Chief Software Architect. At RantAI, Evan is committed to empowering businesses with advanced digital twin technologies and AI-driven solutions that enhance decision-making and reduce uncertainty. His vision is to make these transformative tools accessible to businesses of all sizes, fostering innovation and growth across industries.

Evan's technical proficiency extends beyond development to encompass DevOps, Project Management, and Cloud Computing, with expertise in Docker and Kubernetes. His comprehensive skill set enables him to provide innovative solutions that address both technical and operational challenges.

Jaisy Malikulmulki Arasy is an innovative technologist and Computer Engineering graduate from Telkom University. From an early age, Jaisy has been deeply fascinated by the world of technology, an interest that grew as he pursued his studies. During his university years, Jaisy was actively involved in various labs, where he expanded his technical expertise and contributed to the development of innovative solutions. He also participated in several community service programs, applying his knowledge to support local communities through technology-driven initiatives.


Jaisy’s strong foundation in software development, backend systems, database management, and IT security is complemented by his mastery of the Rust programming language, which he uses in advanced fields like quantum computing and machine learning. His dedication to exploring cutting-edge solutions has positioned him as a thought leader in the tech industry, continuously pushing the boundaries of what can be achieved with emerging technologies.


As the co-founder and Chief AI Engineer of RantaiDev, Jaisy leads the development of AI-driven solutions that help businesses modernize and transform their operations. RantaiDev, an Indonesian startup, focuses on solving scientific challenges through advanced technology, specializing in digital twin simulations, legacy app modernization, and AI-based software solutions. In his role, Jaisy oversees the integration of artificial intelligence into various projects, ensuring that RantaiDev remains at the forefront of innovation.


Outside of his professional career, Jaisy is committed to continuous learning and research, staying on top of trends in AI, machine learning, and software development. His vision is to use technology as a tool for solving real-world problems and driving progress across industries.

Chevhan Walidain, also known as Cep, is a curator and Quality Assurance (QA) specialist at RantAI. He holds a degree in Computer Engineering from Telkom University, where he developed a strong foundation in software development, machine learning, and AI systems. Cep’s journey in the tech world has been marked by a passion for innovation, and he is constantly exploring new ways to improve the quality and performance of AI-driven products.


Cep has a solid expertise in the Flutter framework and Firebase integration, skills that he frequently applies in his current role. His ability to build seamless mobile and web applications, combined with his deep understanding of cloud-based services, makes him an invaluable asset to the RantAI team. Whether he is curating content or performing rigorous testing on projects, Cep ensures that every detail is refined and meets industry standards.


Beyond his technical prowess, Cep is committed to advancing the AI community through his work at RantAI. He takes pride in contributing to the development and publication of projects that push the boundaries of artificial intelligence. His dedication to quality and continuous improvement reflects his long-term goal of creating impactful solutions that benefit both his peers and the larger tech ecosystem.

Daffa Asyqar Ahmad Khalisheka is a Computer Engineering graduate from Telkom University in July 2024. He has a deep interest in Machine Learning and Artificial Intelligence (AI). His experience in developing real-world technology solutions has been proven through various academic and professional projects. Apart from that, Daffa enjoys various hobbies, including watching movies and series, listening to radio both through live broadcasts and online streaming. He also likes to drive while listening to songs through Spotify on the car audio, as well as exercising by jogging and cycling.


While at Telkom University, Daffa completed a final project in the form of a Citarum River water quality classification website called CITASI (Citarum Quality Water Classification). The project utilized machine learning models such as Weighted KNN with Euclidean Distance, Gaussian Naive Bayes, and Artificial Neural Network. The website has two main features: Citarum River Water Quality Classification Calculator and Interactive Map of Citarum River from upstream to downstream. CITATION has obtained Copyright from the REPUBLIC OF INDONESIA, MINISTRY OF LAW AND HUMAN RIGHTS, with the recording number 000638686 on July 10, 2024, and published in Open Library Telkom University in the form of a scientific book entitled “CLASSIFICATION OF WATER QUALITY OF CITARUM RIVER USING WEBSITE-BASED MACHINE LEARNING” by Daffa Asyqar Ahmad Khalisheka. In addition, Daffa participated in the Bangkit Academy 2024 program, where he co-developed the WellFish Android application for fish species classification and fish disease detection. Daffa was also active in the Riverside Softball Telkom University Student Activity Unit organization from semester 1 to semester 5, where he became a member of the logistics division and participated in PMB (New Student Admission) events as a member and chairman of the events division.


Daffa is a co-founder with his friends of RantAI, a startup focused on machine learning and quantum computing. At RantAI, he and his team focus on developing AI-based solutions for scientific simulations and cutting-edge technology applications. In addition, Daffa has experience as a 2024 Tracer Study Surveyor at Telkom University, where he helped alumni fill out tracer study questionnaires online. He has also been a Teaching Assistant for the Robotics course in the Odd Semester 2023/2024, helping to teach practicum sessions using virtual robots with ROS 1 and ROS 2, as well as managing assignments, exams, and class communication through Zoom and WhatsApp. Daffa is also involved in creating an open-source book on the Rust programming language through RantAI Academy, which aims to provide technology education materials for free.


Farrel Rassya is a visionary technologist and graduate in Computer Engineering from Telkom University. With a passion for technology that developed early in life, Farrel has consistently pursued innovation and excellence in the field. Throughout his academic journey, he immersed himself in research and collaborative projects, gaining hands-on experience in cutting-edge technology. As a teaching assistant and active participant in lab work, he not only honed his technical skills but also played a vital role in driving creative solutions. His commitment to leveraging technology for positive change is reflected in his involvement in community service initiatives, where he applied his expertise to solve real-world challenges and enhance local communities.


A Computer Engineering graduate with a strong passion for Machine Learning, Deep Learning, and Data Science. Google TensorFlow Certified, alongside additional certifications in AWS Machine Learning Specialty, Data Engineer Associate, and Cloud Practitioner. Proficient in Python, R, and Rust, bringing a versatile technical skill set to data-driven projects, software development, and the implementation of high-performance solutions.


Outside of his professional career, Farrel is dedicated to lifelong learning and exploration, keeping up with the latest advancements in AI, machine learning, and software development. He consistently enhances his knowledge not only through books and research papers but also by engaging with a variety of online learning platforms, including Coursera, Udemy, and others. His goal is to leverage technology as a means of addressing real-world challenges and fostering innovation across multiple industries.

Idham Hanif Multazam is a dedicated professional with a deep passion for machine learning and Artificial Intelligence. A recent graduate with top academic honors in Machine Learning, Idham has demonstrated exceptional skills and knowledge in AI, Cloud Computing, Data Analytics, and programming languages such as Python and SQL. Their academic excellence and practical experience in software engineering have paved the way for a promising career in technology.


Idham’s professional journey includes significant roles as a Software Engineer at PT Bhakti Usaha Jaya, where they developed a website for managing financial records, replacing previous manual and traditional methods. At PT Telkom Demak, they served as an Admin Support and Digital Marketer, enhancing brand awareness for IndiBiz on social media by creating engaging content.


Currently, Idham is fully dedicated to their role at Rant.ai, where they are contributing to innovative projects and leveraging their skills to drive advancements in technology. Their commitment to continuous learning and innovation reflects their ambition to make a significant impact in the tech industry and beyond.


Outside of their technical roles, Idham remains dedicated to exploring new trends in AI and machine learning, always seeking ways to apply cutting-edge technologies to solve real-world problems. Their vision is to leverage their expertise to foster growth and innovation through advanced technological solutions.

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