Sebastian Raschka - Python Machine Learning [2016, PDF, ENG] torrent

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Python Machine Learning

Год издания: 2016
Автор: Sebastian R
Жанр или тематика: Machine Learning, Python

Издательство: PacktPub
ISBN: 978-1-78355-513-0
Язык: Английский

Формат: PDF
Качество: Отсканированные страницы
Количество страниц: 456

Описание:
What you will learn:
Understand the key frameworks in data science, machine learning, and deep learning
1.Harness the power of the latest Python open source libraries in machine learning
2.Master machine learning techniques using challenging real-world data
3.Master deep neural network implementation using the TensorFlow library
4.Ask new questions of your data through machine learning models and neural networks
5.Learn the mechanics of classification algorithms to implement the best tool for the job
6.Predict continuous target outcomes using regression analysis
7.Uncover hidden patterns and structures in data with clustering
8.Delve deeper into textual and social media data using sentiment analysis
[spoiler="Примеры страниц"]

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[spoiler="Оглавление"]
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
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