Machine Learning Hero : Master Data Science with Python Essentials / Cuantum Technologies LLC / PACKT PUBLISHING (2025)  

Titre : Machine Learning Hero : Master Data Science with Python Essentials Type de document : e-book Auteurs : Cuantum Technologies LLC Editeur : PACKT PUBLISHING Année de publication : 2025 ISBN/ISSN/EAN : 9781837025015 Note générale : copyrighted Langues : Anglais (eng) Résumé : Learn machine learning through hands-on Python projects, covering core concepts, essential libraries, and real-world applications for aspiring data scientists.Key FeaturesComprehensive coverage of machine learning fundamentals and advanced topicsReal-world projects to apply skills in practical scenariosIntegration of Python libraries for data science and AI developmentBook DescriptionThis book takes you on a journey through the world of machine learning, beginning with foundational concepts such as supervised and unsupervised learning, and progressing to advanced topics like feature engineering, hyperparameter tuning, and dimensionality reduction. Each chapter blends theory with practical exercises to ensure a deep understanding of the material. The book emphasizes Python, introducing essential libraries like NumPy, Pandas, Matplotlib, and Scikit-learn, along with deep learning frameworks like TensorFlow and PyTorch. You’ll learn to preprocess data, visualize insights, and build models capable of tackling complex datasets. Hands-on coding examples and exercises reinforce concepts and help bridge the gap between knowledge and application. In the final chapters, you'll work on real-world projects like predictive analytics, clustering, and regression. These projects are designed to provide a practical context for the techniques learned and equip you with actionable skills for data science and AI roles. By the end, you'll be prepared to apply machine learning principles to solve real-world challenges with confidence.What you will learnBuild machine learning models using Python librariesApply feature engineering and preprocessing techniquesVisualize datasets with Matplotlib and SeabornOptimize machine learning models with hyperparameter tuningImplement clustering and dimensionality reduction methodsWork on real-world projects for practical experienceWho this book is forAspiring data scientists, software developers, and tech enthusiasts seeking to master machine learning concepts and Python libraries. Basic Python knowledge is recommended but not required, as foundational topics are covered. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88962219 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=598878

Natural Language Processing with Python : Master text processing, language modeling, and NLP applications with Python's powerful tools / Cuantum Technologies LLC / PACKT PUBLISHING (2025)  

Titre : Natural Language Processing with Python : Master text processing, language modeling, and NLP applications with Python's powerful tools Type de document : e-book Auteurs : Cuantum Technologies LLC Editeur : PACKT PUBLISHING Année de publication : 2025 ISBN/ISSN/EAN : 9781837021635 Note générale : copyrighted Langues : Anglais (eng) Résumé : Learn NLP with Python through practical exercises, advanced topics like transformers, and real-world projects such as chatbots and dashboards. A comprehensive guide for mastering NLP techniques.Key FeaturesA comprehensive guide to processing, analyzing, and modeling human language with PythonReal-world projects that reinforce NLP concepts, including chatbot design and sentiment analysisFoundational and advanced NLP techniques for practical applications in diverse domainsBook DescriptionEmbark on a comprehensive journey to master natural language processing (NLP) with Python. Begin with foundational concepts like text preprocessing, tokenization, and key Python libraries such as NLTK, spaCy, and TextBlob. Explore the challenges of text data and gain hands-on experience in cleaning, tokenizing, and building basic NLP pipelines. Early chapters provide practical exercises to solidify your understanding of essential techniques. Advance to sophisticated topics like feature engineering using Bag of Words, TF-IDF, and embeddings like Word2Vec and BERT. Delve into language modeling with RNNs, syntax parsing, and sentiment analysis, learning to apply these techniques in real-world scenarios. Chapters on topic modeling and text summarization equip you to extract insights from data, while transformer-based models like BERT take your skills to the next level. Each concept is paired with Python-based examples, ensuring practical mastery. The final chapters focus on real-world projects, such as developing chatbots, sentiment analysis dashboards, and news aggregators. These hands-on applications challenge you to design, train, and deploy robust NLP solutions. With its structured approach and practical focus, this book equips you to confidently tackle real-world NLP challenges and innovate in the field.What you will learnClean and preprocess text data using Python effectivelyMaster tokenization techniques for words, sentences, and charactersBuild robust NLP pipelines with feature engineering methodsImplement sentiment analysis with machine learning modelsPerform topic modeling using LDA, LSA, and other algorithmsDevelop chatbots and dashboards for real-world applicationsWho this book is forThis book is ideal for students, researchers, and professionals in machine learning, data science, and artificial intelligence who want to master NLP. Beginners will benefit from the step-by-step introduction to text processing and feature engineering, while experienced practitioners can explore advanced topics like transformers and real-world projects. Basic knowledge of Python and familiarity with programming concepts are recommended to fully utilize the content. Enthusiasts with a passion for language technology will also find this guide valuable for building practical NLP applications. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88962224 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=599179

Algorithms and Data Structures with Python : A comprehensive guide to data structures & algorithms via an interactive learning experience / Cuantum Technologies LLC / PACKT PUBLISHING (2024)  

Titre : Algorithms and Data Structures with Python : A comprehensive guide to data structures & algorithms via an interactive learning experience Type de document : e-book Auteurs : Cuantum Technologies LLC Editeur : PACKT PUBLISHING Année de publication : 2024 ISBN/ISSN/EAN : 9781836208556 Note générale : copyrighted Langues : Anglais (eng) Résumé : Master Python and elevate your algorithmic skills with this comprehensive course. From introductory concepts to advanced computational problems, learn how to efficiently solve complex challenges and optimize your code.Key FeaturesComprehensive introduction to Python programming and algorithmsDetailed exploration of data structures and sorting/searching techniquesAdvanced topics including graph algorithms and computational problem-solvingBook DescriptionBegin your journey with an introduction to Python and algorithms, laying the groundwork for more complex topics. You will start with the basics of Python programming, ensuring a solid foundation before diving into more advanced and sophisticated concepts. As you progress, you'll explore elementary data containers, gaining an understanding of their role in algorithm development. Midway through the course, you’ll delve into the art of sorting and searching, mastering techniques that are crucial for efficient data handling. You will then venture into hierarchical data structures, such as trees and graphs, which are essential for understanding complex data relationships. By mastering algorithmic techniques, you’ll learn how to implement solutions for a variety of computational challenges. The latter part of the course focuses on advanced topics, including network algorithms, string and pattern deciphering, and advanced computational problems. You'll apply your knowledge through practical case studies and optimizations, bridging the gap between theoretical concepts and real-world applications. This comprehensive approach ensures you are well-prepared to handle any programming challenge with confidence.What you will learnMaster sorting and searching algorithmsImplement hierarchical data structures like trees and graphsApply advanced algorithmic techniques to solve complex problemsOptimize code for efficiency and performanceUnderstand and implement advanced graph algorithmsTranslate theoretical concepts into practical, real-world solutionsWho this book is forThis course is designed for a diverse group of learners, including technical professionals, software developers, computer science students, and data enthusiasts. It caters to individuals who have a basic understanding of programming and are eager to deepen their knowledge of Python and algorithms. Whether you're a recent graduate, or an experienced developer looking to expand your skill set, this course is tailored to meet the needs of all types of audiences. Ideal for those aiming to strengthen their algorithmic thinking and improve their coding efficiency. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88957646 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=585569

Data Analysis Foundations with Python : Master Data Analysis with Python: From Basics to Advanced Techniques / Cuantum Technologies LLC / PACKT PUBLISHING (2024)  

Titre : Data Analysis Foundations with Python : Master Data Analysis with Python: From Basics to Advanced Techniques Type de document : e-book Auteurs : Cuantum Technologies LLC Editeur : PACKT PUBLISHING Année de publication : 2024 ISBN/ISSN/EAN : 9781836209072 Note générale : copyrighted Langues : Anglais (eng) Résumé : Dive into data analysis with Python, starting from the basics to advanced techniques. This course covers Python programming, data manipulation with Pandas, data visualization, exploratory data analysis, and machine learning.Key FeaturesFrom Python basics to advanced data analysis techniques.Apply your skills to practical scenarios through real-world case studies.Detailed projects and quizzes to help gain the necessary skills.Book DescriptionEmbark on a comprehensive journey through data analysis with Python. Begin with an introduction to data analysis and Python, setting a strong foundation before delving into Python programming basics. Learn to set up your data analysis environment, ensuring you have the necessary tools and libraries at your fingertips. As you progress, gain proficiency in NumPy for numerical operations and Pandas for data manipulation, mastering the skills to handle and transform data efficiently. Proceed to data visualization with Matplotlib and Seaborn, where you'll create insightful visualizations to uncover patterns and trends. Understand the core principles of exploratory data analysis (EDA) and data preprocessing, preparing your data for robust analysis. Explore probability theory and hypothesis testing to make data-driven conclusions and get introduced to the fundamentals of machine learning. Delve into supervised and unsupervised learning techniques, laying the groundwork for predictive modeling. To solidify your knowledge, engage with two practical case studies: sales data analysis and social media sentiment analysis. These real-world applications will demonstrate best practices and provide valuable tips for your data analysis projects.What you will learnDevelop a strong foundation in Python for data analysis.Manipulate and analyze data using NumPy and Pandas.Create insightful data visualizations with Matplotlib and Seaborn.Understand and apply probability theory and hypothesis testing.Implement supervised and unsupervised machine learning algorithms.Execute real-world data analysis projects with confidence.Who this book is forThis course adopts a hands-on approach, seamlessly blending theoretical lessons with practical exercises and real-world case studies. Practical exercises are designed to apply theoretical knowledge, providing learners with the opportunity to experiment and learn through doing. Real-world applications and examples are integrated throughout the course to contextualize concepts, making the learning process engaging, relevant, and effective. By the end of the course, students will have a thorough understanding of the subject matter and the ability to apply their knowledge in practical scenarios. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88957645 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=585568

Generative Deep Learning with Python : Unleashing the Creative Power of AI by Mastering AI and Python / Cuantum Technologies LLC / PACKT PUBLISHING (2024)  

Titre : Generative Deep Learning with Python : Unleashing the Creative Power of AI by Mastering AI and Python Type de document : e-book Auteurs : Cuantum Technologies LLC Editeur : PACKT PUBLISHING Année de publication : 2024 ISBN/ISSN/EAN : 9781836207139 Note générale : copyrighted Langues : Anglais (eng) Résumé : Dive into the world of Generative Deep Learning with Python, mastering GANs, VAEs, & autoregressive models through projects & advanced topics. Gain practical skills & theoretical knowledge to create groundbreaking AI applications.Key FeaturesComprehensive coverage of deep learning and generative models.In-depth exploration of GANs, VAEs, & autoregressive models & advanced topics in generative AI.Practical coding exercises & interactive assignments to build your own generative models.Book DescriptionGenerative Deep Learning with Python opens the door to the fascinating world of AI where machines create. This course begins with an introduction to deep learning, establishing the essential concepts and techniques. You will then delve into generative models, exploring their theoretical foundations and practical applications. As you progress, you will gain a deep understanding of Generative Adversarial Networks (GANs), learning how they function and how to implement them for tasks like face generation. The course's hands-on projects, such as creating GANs for face generation and using Variational Autoencoders (VAEs) for handwritten digit generation, provide practical experience that reinforces your learning. You'll also explore autoregressive models for text generation, allowing you to see the versatility of generative models across different types of data. Advanced topics will prepare you for cutting-edge developments in the field. Throughout your journey, you will gain insights into the future landscape of generative deep learning, equipping you with the skills to innovate and lead in this rapidly evolving field. By the end of the course, you will have a solid foundation in generative deep learning and be ready to apply these techniques to real-world challenges, driving advancements in AI and machine learning.What you will learnDevelop a detailed understanding of deep learning fundamentalsImplement and train Generative Adversarial Networks (GANs)Create & utilize Variational Autoencoders for data generationApply autoregressive models for text generationExplore advanced topics & stay ahead in the field of generative AIAnalyze and optimize the performance of generative modelsWho this book is forThis course is designed for technical professionals, data scientists, and AI enthusiasts who have a foundational understanding of deep learning and Python programming. It is ideal for those looking to deepen their expertise in generative models and apply these techniques to innovative projects. Prior experience with neural networks and machine learning concepts is recommended to maximize the learning experience. Additionally, research professionals and advanced practitioners in AI seeking to explore generative deep learning applications will find this course highly beneficial. Nombre d'accès : Illimité En ligne : https://neoma-bs.idm.oclc.org/login?url=https://www.scholarvox.com/book/88957654 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=585577

Introduction to Algorithms : A Comprehensive Guide for Beginners: Unlocking Computational Thinking / Cuantum Technologies LLC / PACKT PUBLISHING (2024)  

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Python and SQL Bible : From Beginner to World Expert: Unleash the true potential of data analysis and manipulation. / Cuantum Technologies LLC / PACKT PUBLISHING (2024)  

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