Data Analytics: Data Analytics AND Agile Project Management AND Machine Learning

Robert Keane

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商品描述

This Book Includes 3 Manuscripts


Data Analytics

Master The Techniques For Data Science, Big Data And Data Analytics

If your business is like most, it is already generating a staggering amount of data on a regular basis. Understanding what this data truly means is key to succeeding in the marketplace these days and if you are looking for a way to give yourself an edge then Data Analytics is the book you have been waiting for.

Inside this book you will find:

  • Everything you need to know to get started completing the right kind of data analysis to benefit your business regardless of what that business is
  • The best ways to utilize predictive analysis effectively
  • Easy to use machine learning and regression techniques
  • The reasons why you need discrete choice models in your life

Agile Project Management

Focus On Continuous Improvement, Scope Flexibility, Team Input, And Delivering Essential Quality Products

Agile Project Management has grown in popularity over the past several years. Change is occurring so fast that many organizations are unable to keep up with the demands of a changing global world. Your ability to quickly change and adapt to your environment will make or break, not only your career but could be the deciding factor as to whether your company survives in the coming years. Those that have implemented the Agile strategies you will learn in this book are the ones that are succeeding and will be around for years to come.  Look around at your peers. How many of them are looking to take that next step? The answer is probably very few but not you. You are an action taker. The fact that you are looking for a book like this says so.

Here is some of what you will learn:

  • The Benefits of Agile for you and your organization
  • Agile strategy and making Agile work within an organization
  • What is Scrum and how to implement it
  • Explanation of ITIL and how it relates to Agile
  • Tools of the trade
  • Case Studies to show you Agile in action
  • And an added BONUS – THE SECRET WEAPON

Machine Learning

Master The Three Types Of Machine Learning

Machine learning is vital to the world of information technology. While many people may have no idea what machine learning is, they have probably used it sometime in their daily lives. For example, if you have ever done a search query on a search engine, you have worked with one form of machine learning. The program to do your search query has been trained to find the best results based on what you are looking for and it will also learn from the choices that you make.

In this book you will find:

  • Understanding the Basics of Machine Learning
  • Why should I Use Machine Learning?
  • Machine Learning Applications
  • How Artificial Intelligence and Machine Learning are Different
  • Statistics and Probability Theory
  • The Building Blocks of Machine Learning
  • Formal Statistical Learning Framework
  • PAC Learning Strategies
  • Generalization Models in Machine Learning
  • Supervised Machine Learning
  • Unsupervised Machine Learning
  • Support Vector Machines 
  • Issues That Can Come Up In Machine Learning

Now is the time! Get started on your Project Management journey today.

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商品描述(中文翻譯)

這本書包含三個手稿
資料分析
精通資料科學、大數據和資料分析技術
如果你的企業和大多數企業一樣,已經定期產生大量的數據。了解這些數據的真正含義對於在當今市場上取得成功至關重要,如果你正在尋找一種給自己帶來優勢的方法,那麼《資料分析》就是你一直在等待的書籍。
在這本書中,你將找到:
- 無論你的企業是什麼,你需要知道的一切,以開始進行正確類型的數據分析,以使你的企業受益
- 有效利用預測分析的最佳方法
- 易於使用的機器學習和回歸技術
- 為什麼你需要在生活中使用離散選擇模型

敏捷專案管理
專注於持續改進、範圍彈性、團隊參與和交付重要的高品質產品
近年來,敏捷專案管理越來越受歡迎。變化發生得如此之快,以至於許多組織無法跟上不斷變化的全球需求。你能夠快速改變和適應環境,這將決定你的職業生涯,也可能是你的公司在未來幾年是否能夠生存下去的關鍵因素。那些已經實施了你將在這本書中學到的敏捷策略的人,是那些成功的人,並且將在未來幾年繼續存在。看看你的同行,有多少人正在尋求邁出下一步?答案可能只有很少,但不包括你。你是一個行動者。你正在尋找這樣一本書就說明了這一點。
在這本書中,你將學到:
- 敏捷對你和你的組織的好處
- 敏捷策略和如何在組織中實施敏捷
- 什麼是Scrum以及如何實施它
- ITIL的解釋以及它與敏捷的關係
- 工具
- 案例研究展示敏捷的實際應用
- 額外的獎勵-秘密武器

機器學習
精通三種類型的機器學習
機器學習對於資訊技術界至關重要。雖然許多人可能不知道機器學習是什麼,但他們可能在日常生活中某個時候使用過它。例如,如果你曾經在搜索引擎上進行過搜索查詢,你就使用過一種形式的機器學習。執行搜索查詢的程式已經訓練過,根據你的需求找到最佳結果,並且它還會從你的選擇中學習。
在這本書中,你將找到:
- 理解機器學習的基礎知識
- 為什麼我應該使用機器學習?
- 機器學習的應用
- 人工智能和機器學習的區別
- 統計學和概率論
- 機器學習的基本組成部分
- 正式的統計學習框架
- PAC學習策略
- 機器學習中的泛化模型
- 監督式機器學習
- 非監督式機器學習
- 支持向量機
- 機器學習可能出現的問題

現在是時候了!立即開始你的專案管理之旅。
向上滾動並點擊“購買”按鈕!