NEAT (NeuroEvolution of Augmenting Topologies) is a genetic algorithm designed to evolve artificial neural networks. It optimizes both the topology and weights of neural networks, enabling the development of increasingly complex architectures over generations while maintaining high performance.
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About Neat
NEAT was created in 2002 by Kenneth O. Stanley. It was developed to address the limitations of fixed-topology neural networks by evolving both network structures and weights, allowing for more complex and efficient neural networks over time.
Strengths of NEAT include its ability to evolve complex neural network topologies and maintain diversity in the population. Weaknesses involve high computational costs and potential difficulties in scaling to very large problems. Competitors include Genetic Algorithms, Particle Swarm Optimization, and Deep Reinforcement Learning techniques.
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How to hire a Neat expert
A NEAT expert must have strong programming skills in languages like Python or C++, a deep understanding of genetic algorithms and neural networks, proficiency in machine learning frameworks, and experience with evolutionary computation techniques.

Willy L.
Skills
A PHP Programmer with over six years of experience, possessing expertise in MySQL, HTML, and CSS, with a primary focus on backend development. Demonstrates proficiency in Node.js, React, MongoDB, ElasticSearch, Vue.js, and TypeScript. Adept at facilitating team collaboration to diagnose problems and develop innovative solutions. Committed to continuous learning and actively contributes to knowledge-sharing within the team.

Yago J.
Skills
A computer scientist with a master's degree in Artificial Intelligence and Computer Vision, possessing extensive knowledge in Python programming. Developed a deep understanding of machine learning algorithms and computer vision techniques during graduate studies, applying these concepts in various data analysis and interpretation projects. Demonstrated expertise in natural language processing through collaborative research focused on integrating Optical Character Recognition techniques within social media misinformation detection systems. Experienced in full-stack development, having created Android applications and websites for small businesses, while also conducting research aimed at enhancing medical diagnosis processes through the analysis of electronic health records.

Iago R.
Skills
Senior Front-end Developer with over six years of experience in agile environments, proficient in problem analysis, resolution, and innovation. Expertise in developing performant and scalable web solutions with a user-centric approach and extensive experience in modern software development tools such as Vue.js, React, HTML, CSS, and backend languages. Demonstrated success in contributing to significant revenue growth and system refactoring to enhance usability and user satisfaction.
Current responsibilities involve utilizing modern tools to deliver efficient and scalable web solutions. Pursuing advanced studies in Data Science, focusing on Cloud Computing with AWS, and refining skills in Java and Python. Engaging in practical applications of Artificial Intelligence, particularly in Machine Learning and Deep Learning.

Gabriela G.
Skills
Test Engineer specializing in automation and team leadership with experience spanning diverse areas within the Information Technology sector since 2013. This includes technical support across various levels, Java programming, AWS platform expertise, and a strong focus on quality metrics. Significant proficiency in web and API test automation is demonstrated.
Educational background includes a degree in Information Systems from FUMEC University, complemented by a university extension course in Software Testing from UFMG University. Currently, postgraduate studies are being undertaken in Software Engineering at PUC-MG University and in Software Architecture at FIAP College. Professional certifications held include CTFL Foundation Level and CTAL Qualification.

Thiago T.
Skills
Backend Developer with expertise in PHP, Laravel, and related technologies. Currently positioned as a Tech Lead in the Robotic Process Automation sector, overseeing teams and designing solutions for extensive national projects. Emphasis is placed on creating practical solutions that consistently surpass client expectations.

Luiz R.
Skills
A Systems Analyst with over a decade of experience, specializing in Java and adept across various sectors including retail, banking, government, and e-commerce. Expertise encompasses frameworks such as Spring MVC, Boot, Data, Security, JavaEE, and Angular. Proficiency extends to system integrations utilizing REST, XML, and HTTP protocols.

Gabriel A.
Skills
Computer Engineering student in the 10th semester at the University of Uberaba with academic mobility experience in Computer Science and Engineering at the University of Porto from January to August 2020. Junior BI Analyst responsible for developing business-related analyses, utilizing data analysis and visualization tools such as Python, R, Pentaho, and SQL. Actively engaged in coursework related to Data Science and Artificial Intelligence.

Hieron H.
Skills
Fullstack developer with a strong dedication to programming and continuous learning in emerging technologies. Proficient in frontend and backend development, implementing best practices in architecture and code organization to prioritize functionality, maintainability, and readability.
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