Machine Learning: 2 Manuscripts - Python Machine Learning And Machine Learning With TensorFlow

Frank Millstein

商品描述

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Machine Learning - 2 BOOK BUNDLE!!

Python Machine Learning

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 machine learning techniques using Python. You will also gain practice as you implement the most popular machine learning techniques on some real-world examples and you will learn both about the theoretical and practical machine learning implementation using Python's machine learning libraries.
At the end of the book, you will be able to cope with more complex machine learning issues solving your own problems using Python and its libraries specifically crafted for machine learning.

Here Is A Preview Of What You’ll Learn Here…

  • Basics behind machine learning techniques
  • Different machine learning algorithms
  • Fundamental machine learning applications and their importance
  • Getting started with machine learning in Python, installing and starting SciPy
  • Loading data and importing different libraries
  • Data summarization and data visualization
  • Evaluation of machine learning models and making predictions
  • Most commonly used machine learning algorithms, linear and logistic regression, decision trees support vector machines, k-nearest neighbors, random forests
  • Solving multi-clasisfication problems
  • Data visualization with Matplotlib and data transformation with Pandas and Scikit-learn
  • Solving multi-label classification problems
  • And much, much more...

Machine Learning with TensorFlow

TensorFlow is a powerful open source software library for performing various numerical data flow graphs. With its powerful resources, TensorFlow is perfect for machine learning enthusiasts offering plenty of workspace where you can improve your machine learning techniques and build your own machine learning algorithms.
Thanks to its capability, in recent times TensorFlow definitely has made its way into the software mainstream, so everyone who is interested in machine learnings definitely should considers getting hands on TensorFlow practices.
With this book as your guide, you will get your hands on TensorFlow machine learning techniques, learn how to perform different neural network operations, learn how to deal with massive datasets and finally build your first machine learning model for data classification.

Here Is a Preview of What You’ll Learn Here…

  • What is machine learning
  • Main uses and benefits of machine learning
  • How to get started with TensorFlow, installing and loading data
  • Data flow graphs and basic TensorFlow expressions
  • How to define your data flow graphs and how to use TensorBoard for data visualization
  • Main TensorFlow operations and building tensors
  • How to perform data transformation using different techniques
  • How to build high performance data pipelines using TensorFlow Dataset framework
  • How to create TensorFlow iterators
  • Creating MNIST classifiers with one-hot transformation

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商品描述(中文翻譯)

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機器學習 - 2本書的組合包!


Python機器學習


機器學習是一門讓機器和電腦能夠自主行動和學習的科學,而不需要明確編程。在過去的十年中,這個領域為我們帶來了實用的語音識別、自動駕駛汽車、對整體人類基因組的大幅改進、有效的網絡搜索等等。因此,機器學習如此普及今天就不足為奇了。
在這本書中,您將學習如何使用Python解釋機器學習技術。您還將通過在一些實際例子上實施最流行的機器學習技術來獲得實踐,並且您將學習有關使用Python的機器學習庫進行理論和實踐機器學習實現的知識。
在本書的最後,您將能夠應對更複雜的機器學習問題,使用Python及其專為機器學習而設計的庫來解決自己的問題。

以下是您將在這裡學到的內容的預覽...



  • 機器學習技術的基礎知識

  • 不同的機器學習算法

  • 基本的機器學習應用及其重要性

  • 在Python中開始機器學習,安裝和啟動SciPy

  • 加載數據和導入不同的庫

  • 數據總結和數據可視化

  • 評估機器學習模型並進行預測

  • 最常用的機器學習算法,線性和邏輯回歸,決策樹支持向量機,最近鄰居,隨機森林

  • 解決多分類問題

  • 使用Matplotlib進行數據可視化,使用Pandas和Scikit-learn進行數據轉換

  • 解決多標籤分類問題

  • 以及更多更多...

使用TensorFlow的機器學習


TensorFlow是一個功能強大的開源軟件庫,用於執行各種數值數據流圖。憑藉其強大的資源,TensorFlow非常適合機器學習愛好者,提供了大量的工作空間,您可以在其中改進機器學習技術並構建自己的機器學習算法。
由於其能力,在最近的時間裡,TensorFlow無疑已經成為軟件主流,所以每個對機器學習感興趣的人都應該考慮進行TensorFlow實踐。
通過本書作為您的指南,您將學習到TensorFlow的機器學習技術,學習如何執行不同的神經網絡操作,學習如何處理大型數據集,最終構建您的第一個用於數據分類的機器學習模型。

以下是您將在這裡學到的內容的預覽...



  • 什麼是機器學習

  • 機器學習的主要用途和好處

  • 如何開始使用TensorFlow,安裝和加載數據

  • 數據流圖和基本的TensorFlow表達式

  • 如何定義您的數據流圖以及如何使用TensorBoard進行數據可視化

  • 主要的TensorFlow操作和構建張量

  • 如何使用不同技術進行數據轉換

  • 如何使用TensorFlow數據集框架構建高性能數據管道

  • 如何創建TensorFlow迭代器

  • 使用one-hot轉換創建MNIST分類器

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