Markov Models: Understanding Markov Models and Unsupervised Machine Learning in Python with Real-World Applications
暫譯: 馬可夫模型:理解馬可夫模型及在Python中進行無監督機器學習的實際應用

Robert Tier

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商品描述

Discover How to Master Unsupervised Machine Learning and Crack Some of the Greatest Data Enigmas With Markov Models!

Would you like to unlock the mysteries of Data Science?

Are you yearning to understand how to make educated predictions on the weather, horse races, your unborn baby’s facial features, or your boss’s next black mood?

Would you like a guide to explain these and many other “phenomenons” in clear, easy-to-understand language?

If the answer is ‘yes’ then you’ll want to Download this book today!

It’s never been easier to make predictions and smart analysis with the use of Markov Models. You don’t need a crystal ball or any wizardry. The only thing you need is science, some average high-school math skills and a decent knowledge of Python programming in order to solve the most perplexing problems.

And if you’re unfamiliar with Python programming or Machine learning, don’t worry, it’ll all be explained in this book.

Inside this book I’m going to show you how to be a data master. You’ll discover how to solve almost-unsolvable machine learning problems in no time. I’m going to show you the tools, code, and methods needed to effectively use Markov Models for any event or situation you come across.

Download This Book Today and Discover:

  • How to program with Python
  • The secrets behind unsupervised machine learning
  • How to use Markov Models to master machine learning
  • How to make predictions with Markov Models
  • How to use Markov Chains
  • How to use Hidden Markov Models
  • The 3 main problems of Markov Models and how to overcome them
  • How to use Python to find the probability of longer and more complex problems
  • What packages to get for using Python for Markov Models
  • How to implement HMM algorithms
  • How to build a speech recognizer
  • A code that will turn gibberish into understandable text
  • How to forecast the weather
  • The secrets behind Queueing Theory
  • The Markov Mutation Model
  • The Secret Structure of Google’s PageRank Algorithm
  • How to perform Google PageRank in Python And much, much more!


So save yourself some time and frustration trying to learning these intricate algorithms on your own. Let me help you get started quickly and easily.

Download Markov Models today and Enjoy Mastering Data Science!

商品描述(中文翻譯)

發現如何掌握無監督機器學習,並利用馬可夫模型破解一些最偉大的數據謎題!

你想解開數據科學的謎團嗎?

你渴望了解如何對天氣、賽馬、未出生寶寶的面部特徵或你老闆的下一次黑心情做出明智的預測嗎?

你希望有一本指南用清晰易懂的語言解釋這些及其他許多“現象”嗎?

如果答案是“是”,那麼你會想要今天就下載這本書!

使用馬可夫模型進行預測和智能分析從未如此簡單。你不需要水晶球或任何魔法。你所需要的只是科學、一些普通的高中數學技能以及對Python編程的基本知識,以解決最棘手的問題。

如果你對Python編程或機器學習不熟悉,別擔心,這本書會為你解釋一切。

在這本書中,我將向你展示如何成為數據大師。你將發現如何在短時間內解決幾乎無法解決的機器學習問題。我將展示有效使用馬可夫模型所需的工具、代碼和方法,無論你遇到什麼事件或情況。

今天下載這本書,發現:


  • 如何使用Python編程

  • 無監督機器學習背後的秘密

  • 如何使用馬可夫模型掌握機器學習

  • 如何使用馬可夫模型進行預測

  • 如何使用馬可夫鏈

  • 如何使用隱馬可夫模型

  • 馬可夫模型的三個主要問題及其解決方法

  • 如何使用Python找到更長和更複雜問題的概率

  • 使用Python進行馬可夫模型所需的包

  • 如何實現HMM算法

  • 如何構建語音識別器

  • 一段將無意義的文字轉換為可理解文本的代碼

  • 如何預測天氣

  • 排隊理論背後的秘密

  • 馬可夫突變模型

  • Google的PageRank算法的秘密結構

  • 如何在Python中執行Google PageRank,還有更多更多!



所以,節省你自己嘗試獨自學習這些複雜算法的時間和挫折。讓我幫助你快速輕鬆地入門

今天下載馬可夫模型,享受掌握數據科學的樂趣!