Showing results for "Python Machine Learning Sebastian Raschka Spanish"
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Python Machine Learning
Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial
2015
EN
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsKey FeaturesLeverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk – and answer – tough questions of your data with robust statistical models, built for a range of datasets...
Python Machine Learning, Second Edition
Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow
2017
EN
Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.Key FeaturesSecond edition of the bestselling book on Machine LearningA practical approach to key frameworks in data science, machine learning, and deep learningUse the most powerful Python libraries to implement machine learning and deep learningGet to know the best practices to improve and optimize you...
Machine Learning with PyTorch and Scikit-Learn
Develop machine learning and deep learning models with Python
2022
EN
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesLearn applied machine learning with a solid foundation in theoryClear, intuitive explanations take you deep into the theory and practice of Python machine learningFully updated and expan...
2016
EN
Leverage benefits of machine learning techniques using PythonAbout This BookImprove and optimise machine learning systems using effective strategies.Develop a strategy to deal with a large amount of data.Use of Python code for implementing a range of machine learning algorithms and techniques.Who This Book Is ForThis title is for data scientist and researchers who are already into the field of data scienc...
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- From Scratch
2024
EN
How to implement LLM attention mechanisms and GPT-style transformers.In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.Build a Large Language Model (from Scratch) t...
Machine Learning Q and AI
30 Essential Questions and Answers on Machine Learning and AI
2024
EN
Learn the answers to 30 cutting-edge questions in machine learning and AI and level up your expertise in the field.If you’re ready to venture beyond introductory concepts and dig deeper into machine learning, deep learning, and AI, the question-and-answer format of Machine Learning Q and AI will make things fast and easy for you, without a lot of mucking about.Born out of questions often fielded by author Sebastian Raschka, the direct, no-nonsense ...
Python Machine Learning for Beginners
All You Need to Know about Machine Learning with Python
2026
EN
Accessible
Have you thought about a career in data science? It's where the money is right now, and it's only going to become more widespread as the world evolves. Machine learning is a big part of data science, and for those that already have experience in programming, it's the next logical step.Machine learning is a subsection of AI, or Artificial Intelligence, and computer science, using data and algorithms to imitate human thinking and learning. Through constant learning, machine learning ...
Python: Real-World Data Science
Real-World Data Science
2016
EN
Unleash the power of Python and its robust data science capabilitiesKey FeaturesUnleash the power of Python 3 objectsLearn to use powerful Python libraries for effective data processing and analysisHarness the power of Python to analyze data and create insightful predictive modelsUnlock deeper insights into machine learning with this vital guide to cutting-edge predictive analyticsBook DescriptionThe Python: Real-Wor...
Python Machine Learning Cookbook
100 recipes that teach you how to perform various machine learning tasks in the real world
2016
EN
100 recipes that teach you how to perform various machine learning tasks in the real worldKey Features\[\*\]Understand which algorithms to use in a given context with the help of this exciting recipe-based guide\[\*\]Learn about perceptrons and see how they are used to build neural networks\[\*\]Stuck while making sense of images, text, speech, and real estate? This guide will come to your rescue, showing you how to perform machine learning for...
Python Machine Learning
Complete and Clear Introduction to the Basics of Machine Learning with Python. Comprehensive Guide to Data Science and Analytics
2026
EN
Accessible
Machine learning is fast becoming an important technique used by multiple industries, and in applications and research. But you don’t have to be part of a massive organization with an endless pot of money to get involved.Even beginners using the Python programming language can be a part of machine learning, and that is what this book is for. Today, the only limit to machine learning is your imagination. In this book, I provide you with an overview of machine learning and some pract...
2019
EN
Machine learning is the science of getting machines and computers to act and learn on their own without being programmed explicitly. In just the past decade, this field has given us practical speech recognition, self-driving cars, greatly improved understanding of the overall human genome, effective web search and much more. Therefore, there is no wondering why machine learning is so pervasive today.In this book, you will learn more about interpreting machi...
Python Machine Learning Cookbook
Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets
2019
EN
Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorchKey FeaturesLearn and implement machine learning algorithms in a variety of real-life scenariosCover a range of tasks catering to supervised, unsupervised and reinforcement learning techniquesFind easy-to-follow code solutions for tackling common and not-so-common challengesBook Descri...











