Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition (English Edition) por Sebastian Raschka

October 19, 2019

Descargue o lea el libro de Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition (English Edition) de Sebastian Raschka en formato PDF y EPUB. Aquí puedes descargar cualquier libro en formato PDF o Epub gratis. Use el botón disponible en esta página para descargar o leer libros en línea.

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition (English Edition) por Sebastian Raschka
Titulo del libro : Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition (English Edition)
Fecha de lanzamiento : September 20, 2017
Autor : Sebastian Raschka
Número de páginas : 624
Editor : Packt Publishing

Sebastian Raschka con Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition (English Edition)

Key Features

  • Second edition of the bestselling book on Machine Learning
  • A practical approach to key frameworks in data science, machine learning, and deep learning
  • Use the most powerful Python libraries to implement machine learning and deep learning
  • Get to know the best practices to improve and optimize your machine learning systems and algorithms

Book Description

Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis.

Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library.

Sebastian Raschka and Vahid Mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you'll be ready to meet the new data analysis opportunities in today's world.

If you've read the first edition of this book, you'll be delighted to find a new balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You'll be able to learn and work with TensorFlow more deeply than ever before, and get essential coverage of the Keras neural network library, along with the most recent updates to scikit-learn.

What you will learn

  • Understand the key frameworks in data science, machine learning, and deep learning
  • Harness the power of the latest Python open source libraries in machine learning
  • Explore machine learning techniques using challenging real-world data
  • Master deep neural network implementation using the TensorFlow library
  • Learn the mechanics of classification algorithms to implement the best tool for the job
  • Predict continuous target outcomes using regression analysis
  • Uncover hidden patterns and structures in data with clustering
  • Delve deeper into textual and social media data using sentiment analysis

Table of Contents

  1. Giving Computers the Ability to Learn from Data
  2. Training Simple Machine Learning Algorithms for Classification
  3. A Tour of Machine Learning Classifiers Using Scikit-Learn
  4. Building Good Training Sets - Data Preprocessing
  5. Compressing Data via Dimensionality Reduction
  6. Learning Best Practices for Model Evaluation and Hyperparameter Tuning
  7. Combining Different Models for Ensemble Learning
  8. Applying Machine Learning to Sentiment Analysis
  9. Embedding a Machine Learning Model into a Web Application
  10. Predicting Continuous Target Variables with Regression Analysis
  11. Working with Unlabeled Data - Clustering Analysis
  12. Implementing a Multilayer Artificial Neural Network from Scratch
  13. Parallelizing Neural Network Training with TensorFlow
  14. Going Deeper - The Mechanics of TensorFlow
  15. Classifying Images with Deep Convolutional Neural Networks
  16. Modeling Sequential Data using Recurrent Neural Networks

Los más vendidos Libros Mi gran libro de experimentos (El Gran Libro De...) Busca Dinosaurios Busca Dinosaurios (Busca ...) El pez Arcoíris (El pez Arcoíris) El Universo (Larousse - Infantil / Juvenil - Castellano - A Partir De 5/6 Años - Colección Mini Larousse) La niña invisible: 249 (El Barco de Vapor Naranja) Atlas De Animales Del Mundo (Pegatinas) (Atlas De Animales Con Pegatina) Brown Bear, Brown Bear, What Do You See? 1000 Dinosaurios para buscar (1000 pegatinas para buscar) Hola Ruby. La aventura de programar (Libros de entretenimiento) Cómo esconder un león (Cuentos infantiles) Primeras palabras: Sophie la girafe Dinosaurios (Libro linterna) Bilingual Bright Baby Animals (Bright Baby / Bebe Listo) Cómo sobrevivir a un apocalipsis zombi (Fuera de Colección) 101 Cosas que deberías saber sobre los dinosaurios Astronáutica (Futuros Genios): La ciencia explicada a los más pequeños Futuros Genios: Física Cuántica (Futuros genios / Future Geniuses) Qué hay en el universo (Primeros Lectores (1-5 Años) - Curiosidades En Verso) Un viaje por el espacio (Sabelotodo) Las Ranas (Libros de National Geographic para ninos / National Geographic Kids Readers) Superpegatinas Dinosaurios Pupi y el club de los dinosaurios (El Barco de Vapor Blanca) Maytalia y el cuerpo humano (4You2) Little Kids First Big Book of Dinosaurs (First Big Book) Los Futbolísimos.El misterio del obelisco mágico 22 misterios de la historia (No ficción ilustrados) Busca Animales De La Granja The Gruffalo El cuerpo humano (Mis primeras enciplopedias temáticas) El Libro de la Tabla Periódica El Mundo De Los Dinosaurios (Ya sé LEER con Susaeta - nivel 2) Así es tu cuerpo (Sabelotodo) ¡Salvemos el tren! (Paw Patrol | Patrulla Canina) 101 Cosas que deberías saber sobre los inventos y descubrimientos El combibestiario (Mis primeras enciplopedias temáticas) Wild Predators (Wild Kratts) Step Into Reading Lvl 2 Room on the Broom Big Book La ermita de los espíritus: 3 (Primos S. A.) De Libro en Libro, Colección Agus y los Monstruos Busca Animales De La Selva Maytalia en el espacio (4You2) First 100 Animals (First 100 Soft to Touch) Mar adentro En tierra de dinosaurios (Sabelotodo) Magalina i el gran misteri (Sèrie Magalina 2) Monstruos (Juegos y pasatiempos) ¡Viva la ciencia! (Sabelotodo) Wild Sea Creatures Sharks, Whales And Dolphins Step Into Reading Lvl 2: Wild Kratts (Step Into Reading. Step 2) ¡Animales por todas partes! (Sabelotodo)