Deep Learning: 2 Manuscripts - Analyzing Data with Power Bi and Convolutional Neural Networks in Python

Anthony Williams

Deep Learning: 2 Manuscripts - Analyzing Data with Power Bi and Convolutional Neural Networks in Python

商品描述

Deep Learning - A 2-book BUNDLE!!

Book 1: Analyzing Data with Power BI

If you are thinking of doing some data science work, first you have to get familiar with data libraries, various techniques of data modelling, in other words you have to dive into data analysis discipline with some fundamental understanding of this science. This book provides you that, fundamental of business and data analytics and insight into various data models and algorithms all written having a beginner in mind. Further chapters will introduce you to powerful business analytics tool provided by Microsoft Power BI. By the time you are done with the book you will master business analytics modelling with Power BI and share it to other users who are interested in same topic as you are. Data analytics also may be the right answer for you if you are involved in marketing management since it can help you with operating, strategic and financial performance. On the other hand Power BI will let you to ask all the right questions and help you to make wise business decisions. If this sounds good to you, let`s dive in together into the data analysis with Power BI.

In this book you will learn:

  • Basics of data analysis processes
  • Fundamental data analysis algorithms
  • Basic of data and text mining, data visualization and business intelligence
  • Techniques used for analysing quantitative data
  • Basic data analysis tasks
  • Conceptual, logical and physical data models
  • Power BI service and data modelling
  • Creating reports and visualizations in Power BI
  • Data transformation and data cleaning in Power BI
  • Real world applications of data analysis
  • And much, much more!!

Book 2: Convolutional Neural Networks in Python

Deep learning has been a great part of various scientific fields and since this is my third book regarding this topic, you already know the great significance of deep learning in comparison to traditional methods. At this point, you are also familiar with types of neural networks and their wide range of applications including image and speech recognition, natural language processing, video game development and other. On the other hand, this book is all about convolutional neural networks and how to use these neural networks in various tasks of automatic image and speech recognition in Python. You will also get a better insight into the architecture of convolutional layers as we are going deeper into this subject. Deep learning is pretty complex subject, but since you already have a fundamental knowledge of this topic, getting to know convolutional neural networks better is next logical step.

In this book you will learn:

  • Architecture of convolutional neural networks
  • Solving computer vision tasks using convolutional neural networks
  • Python and computer vision
  • Automatic image and speech recognition
  • Theano and TenroeFlow image recognition
  • How to use MNIST vision dataset
  • What are commonly used convolutional filters
  • And much, much more!!

Get this book bundle NOW and SAVE money!!

Buy the Paperback version AND get this ebook bundle for FREE!!

商品描述(中文翻譯)

深度學習 - 2本書籍套裝!!


書籍1: 使用 Power BI 分析數據


如果您打算進行一些數據科學工作，首先您必須熟悉數據庫、各種數據建模技術，換句話說，您必須深入研究數據分析學科，並對這門科學有一些基本的理解。本書提供了這方面的基礎知識，包括商業和數據分析的基本原理，以及對各種數據模型和算法的深入洞察，所有內容都是針對初學者撰寫的。後面的章節將介紹由Microsoft Power BI提供的強大的商業分析工具。通過閱讀本書，您將掌握使用 Power BI 進行商業分析建模並與其他對此主題感興趣的用戶共享的能力。如果您從事市場營銷管理，數據分析也可能是您的答案，因為它可以幫助您進行運營、戰略和財務績效分析。另一方面，Power BI將讓您提出所有正確的問題，並幫助您做出明智的商業決策。如果這聽起來對您有吸引力，讓我們一起深入研究使用 Power BI 進行數據分析。


本書您將學到：



  • 數據分析流程的基礎知識

  • 基本的數據分析算法

  • 數據和文本挖掘、數據可視化和商業智能的基礎知識

  • 用於分析定量數據的技術

  • 基本的數據分析任務

  • 概念、邏輯和物理數據模型

  • Power BI 服務和數據建模

  • 在 Power BI 中創建報告和可視化

  • 在 Power BI 中進行數據轉換和數據清理

  • 數據分析的實際應用

  • 以及更多更多！！


書籍2: 使用 Python 的卷積神經網絡


深度學習在各個科學領域中佔有重要地位，而這已經是我關於這個主題的第三本書了，您已經知道與傳統方法相比，深度學習的重要性。此時，您也熟悉各種神經網絡的類型及其廣泛的應用，包括圖像和語音識別、自然語言處理、視頻遊戲開發等。另一方面，本書專注於卷積神經網絡以及如何在Python中使用這些神經網絡進行自動圖像和語音識別等各種任務。隨著我們深入研究這個主題，您還將更深入地了解卷積層的架構。深度學習是一個相當複雜的主題，但由於您已經對此有基本的知識，更深入地了解卷積神經網絡是下一個合理的步驟。


本書您將學到：



  • 卷積神經網絡的架構

  • 使用卷積神經網絡解決計算機視覺任務

  • Python 和計算機視覺

  • 自動圖像和語音識別

  • Theano 和 TenroeFlow 圖像識別

  • 如何使用 MNIST 圖像數據集

  • 常用的卷積濾波器

  • 以及更多更多！！



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