Mastering Deep Learning with Python: 2 Manuscripts: The Ultimate Step By Step Guide To Learn Mastering Deep Learning & Python In 7 Days

Book Description

Mastering Deep Learning with Python: 2 Manuscripts

This book presents the knowledge and technologies that will allow us to participate in this new era of information, governed by Big Data and machine learning, the life of the data is analyzed step by step, showing how to obtain it, store it, process it, visualize it, and draw conclusions from it: that is, show the data analysis as it is: a fascinating area, It requires many hours of careful work. Likewise, the Python programming language is analyzed, the most used in data Science due to the multitude of libraries that it facilitates, but is not limited to the standard, but presents current technologies that, with Python as an interface, will allow scaling the size of the data to the maximum. Therefore, our journey with the data will take us, for example, to know the MongoDB database and the Spark processing environment.

In this book, you will discover:

• What is a data scientist?
• What languages should be learned?
• The three musketeers of Data Science
• Python introduction
• Languages do you need to learn for data science

These are some of the topics covered in this book:

• Machine Learning Algorithms
• K NN – Nearest Neighbor Method
• SVC – Support vector machine
• Mathematics for Data Analysis
• Working with Threads in Python
• Working with processes in Python

These are some of the topics covered in this book:

• fundamentals of deep learning
• fundamentals of probability
• fundamentals of statistics
• fundamentals of linear algebra
• introduction to machine learning and deep learning
• fundamentals of machine learning
• fundamentals of neural networks and deep learning
• deep learning parameters and hyper-parameters
• deep neural networks layers
• deep learning activation functions
• convolutional neural network
• Deep learning in practice (in jupyter notebooks)
• python data structures

中文：

书名：用Python掌握深度学习：2份手稿：7天内掌握深度学习的终极分步指南

用Python掌握深度学习：2篇手稿

这本书展示了让我们能够参与到这个由大数据和机器学习支配的新信息时代的知识和技术，数据的生命被一步一步地分析，展示了如何获取数据、存储数据、处理数据、可视化数据并从中得出结论：也就是，如实展示数据分析：这是一个令人着迷的领域，它需要花费数小时的仔细工作。同样，本文还分析了在数据科学中使用最多的编程语言，因为它提供了大量的库，但并不局限于标准，而是介绍了当前的技术，这些技术以Python为接口，将允许最大限度地扩展数据大小。因此，我们的数据之旅将带我们了解MongoDB数据库和Spark处理环境。

在这本书中，你会发现：

• What is a data scientist?
• What languages should be learned?
• 数据科学的三个火枪手
• 巨蟒游戏攻略
• 为了数据科学，你需要学习语言吗

以下是本书中涉及的一些主题：

• 机器学习算法
• K NN&#8211；最近邻法
• SVC – Support vector machine
• Mathematics for Data Analysis
• 在Python中使用线程
• 在Python中使用进程

以下是本书中涉及的一些主题：

• fundamentals of deep learning
• 概率论基础
• 统计学基础
• 线性代数基础
• 机器学习和深度学习简介
• 机器学习基础
• fundamentals of neural networks and deep learning
• 深度学习参数和超参数
• 深层神经网络层
• deep learning activation functions
• 卷积神经网络
• 实践中的深度学习(在Jupyter笔记本中)
• Python数据结构