Decoding 'Artificial Intelligence: A Modern Approach': by Russell and Norvig

With a practical and structured approach, this book offers an in-depth view of key AI areas, from intelligent agents and problem-solving with search algorithms, to complex concepts like machine learning and AI ethics. Through accessible and instructional language, Rodrigues explores the central ideas in a way that allows you to understand and effectively apply them.

From an introduction to the basic concepts of artificial intelligence to more advanced topics such as reasoning under uncertainty, natural language processing, and AI applications in games and robotics, this book provides a solid foundation for those seeking to understand and implement AI in real-world projects.

Rodrigues also explores the relevance and impact of AI on society, discussing ethical and social issues, as well as current challenges, while also presenting practical tools and frameworks you can use to apply AI in the real world. This is the ideal guide for students, professionals, and technology enthusiasts who want to gain deep and practical knowledge of AI and its many possibilities.

With this book, you will not only understand AI concepts but also be able to apply best practices in a concrete and transformative way to your projects and career. Don't miss the chance to explore Artificial Intelligence at its highest level and take the next step towards technological innovation.

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TAGS:

Python Java Linux Kali HTML ASP.NET Ada Assembly BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General JavaScript LISP PHP Pascal Perl Prolog RPG Ruby SQL Swift UML Elixir Haskell VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI  Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI  Regression Logistic Regression Decision Trees Random Forests AI ML K-Means Clustering Support Vector Machines Gradient Boosting Neural Networks LSTMs CNNs GANs ANDROID IOS MACOS WINDOWS Nmap Metasploit Framework Wireshark Aircrack-ng John the Ripper Burp Suite SQLmap Maltego Autopsy Volatility IDA Pro OllyDbg YARA Snort ClamAV Netcat Tcpdump Foremost Cuckoo Sandbox Fierce HTTrack Kismet Hydra Nikto OpenVAS Nessus ZAP Radare2 Binwalk GDB OWASP Amass Dnsenum Dirbuster Wpscan Responder Setoolkit Searchsploit Recon-ng BeEF AWS Google Cloud IBM Azure Databricks Nvidia Meta Power BI IoT CI/CD Hadoop Spark Dask SQLAlchemy Web Scraping MySQL Big Data Science OpenAI ChatGPT Handler RunOnUiThread() Qiskit Q# Cassandra Bigtable VIRUS MALWARE Information  Pen Test Cybersecurity Linux Distributions Ethical Hacking Vulnerability Analysis System Exploration Wireless Attacks Web Application Security Malware Analysis Social Engineering Social Engineering Toolkit SET Computer Science IT Professionals Careers Expertise Library Training Operating Systems Security Testing Penetration Test Cycle Mobile Techniques Industry Global Trends Tools   Framework Network Security Courses Tutorials Challenges Landscape Cloud Threats Compliance Research Technology Flutter Ionic Web Views Capacitor APIs REST GraphQL Firebase Redux Provider Bitrise Actions Material Design Cupertino Fastlane Appium Selenium Jest  Visual Studio AR VR sql mysql