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101Publicado 2014Biblioteca Universitat Ramon Llull (Otras Fuentes: Universidad Loyola - Universidad Loyola Granada, Biblioteca de la Universidad Pontificia de Salamanca)Libro electrónico
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103por Kelly, Sloan. authorTabla de Contenidos: “…-- Chapter 3: Introducing Python -- Chapter 4: Breaking Free from the Interpreter -- Chapter 5: Making Decisions -- Chapter 6: Making the Raspberry Pi Repeat Itself -- Chapter 7: Container Data Types -- Chapter 8: Introduction to IDLE running on the Pixel Desktop -- Chapter 9: Basic Introduction to PyGame -- Chapter 10: Designing Your Game -- Chapter 11: Game Project: Bricks -- Chapter 12: User-Defined Functions -- Chapter 13: File Input and Output -- Chapter 14: Introducing Object-Oriented Programming -- Chapter 15: Inheritance, Composition, and Aggregation -- Chapter 16: Game Project: Snake -- Chapter 17: Model View Controller -- Chapter 18: Sound -- Chapter 19: Finite State Machines -- Chapter 20: Invaders -- Chapter 21: Simple Electronics with the GPIOs -- Chapter 22: Copycat Game -- Chapter 23: Couch Multi-Player Quiz Game -- Chapter 24: Conclusion. …”
Publicado 2019
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104
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105Publicado 2020“…7+ Hours of Video Instruction An intuitive, application-focused introduction to deep learning and TensorFlow, Keras, and PyTorch Overview Deep Learning with TensorFlow, Keras, and PyTorch LiveLessons is an introduction to deep learning that brings the revolutionary machine-learning approach to life with interactive demos from the most popular deep learning library, TensorFlow, and its high-level API, Keras, as well as the hot new library PyTorch. …”
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106Publicado 2015Tabla de Contenidos:Libro electrónico
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107Publicado 2019Tabla de Contenidos: “…PyTorch 1.x Reinforcement Learning Cookbook: Over 60 recipes to design, develop, and deploy self-learning AI models using Python…”
Libro electrónico -
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109Publicado 2022“…We will start with the essential Python libraries for data science, then go on to the fundamental NumPy properties, and lastly begin with mathematics and how to use it in data science. …”
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113Publicado 2022“…Hobson and his colleagues try to figure out how to train word embeddings from scratch using the WikiText2 dataset in PyTorch. The WikiText2 dataset contains redacted words, but they were unable to find the "labels" that reveal the words masked with the symbol ``. …”
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114por Nelli, Fabio. authorTabla de Contenidos: “…Introduction to the Python's World -- 3. The NumPy Library -- 4. The pandas Library-- An Introduction -- 5. pandas: Reading and Writing Data -- 6. pandas in Depth: Data Manipulation -- 7. …”
Publicado 2018
Libro electrónico -
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117Publicado 2022“…Learn, build, and execute big data strategies with Scala and Spark, PySpark and AWS, data scraping and data mining with Python, and master MongoDB About This Video Data scraping and data mining for beginners to pro with Python Clear unfolding of concepts with examples in Python, Scrapy, Scala, PySpark, and MongoDB Master Big Data with PySpark and AWS In Detail Part 1 is designed to reflect the most in-demand Scala skills. …”
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118por Nelli, FabioTabla de Contenidos: “…Introduction to the Python's World -- 3. The NumPy Library -- 4. The pandas Library-- An Introduction -- 5. pandas: Reading and Writing Data -- 6. pandas in Depth: Data Manipulation -- 7. …”
Publicado 2023
Libro electrónico -
119Publicado 2023“…With a robust understanding of PyTorch, you will dive into the heart of the course--semantic segmentation. …”
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120Publicado 2021“…In this video, we extend PySpark's ML Pipelines with our own components. …”
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