Machine Learning Explained - Real Case Studies for Real Businesses: Intuitive case-studies for monetizing your business effectively with Machine Learning
暫譯: 機器學習解說 - 實際案例研究以應用於真實商業:直觀案例研究以有效地將機器學習貨幣化您的業務
Atul Tripathi
- 出版商: Packt Publishing
- 出版日期: 2019-02-11
- 售價: $2,050
- 貴賓價: 9.5 折 $1,948
- 語言: 英文
- 頁數: 355
- 裝訂: Paperback
- ISBN: 1788299795
- ISBN-13: 9781788299794
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相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
相關主題
商品描述
Solve different business-related challenges and monetize your data by leveraging the power of Machine Learning
Key Features
- Get the real stories of machine learning implementation from our industry experts;
- Learn, explore, and evaluate various machine learning implementations with the help of rich case studies;
- Look at machine learning from a business perspective and understand the benefits of machine learning for monetization.
Book Description
With the flow of information from varied sources such as internet, devices, social media etc. everyone wants to implement machine learning algorithms for practical problems faced. Machine learning techniques and its application in multiple areas have emerged as one of the biggest game changers in industry. The companies are experimenting to exploit the power of machine learning. This book will take you through an eventful journey in machine learning. You will know how companies implemented machine learning to monetize their data, and how they successfully implemented it to bring out revolutionary uptake in their revenues. The book shall help companies of large and small scale to exploit the power of machine learning and understand the impact.
Each of the topics mentioned in the book will help you understand and appreciate the value of machine learning techniques and its implementation. The case studies discussed will take you into the journey machine learning techniques. You will be made aware of new developments in the field of machine learning. This book is filled with examples for solving real life problems which are encountered in order to make your applications produce improved results. You will be equipped with the practical challenges faced in the field of machine learning. You shall gain hands on experience of problem solving. The topics covered have been carefully selected after a comprehensive research.
By the end of this book, you will understand the latest development taking place in varied fields and industries with machine learning techniques. This shall help you develop the cutting edge knowledge.
What You Will Learn
- Impact of machine learning on various industries like, Healthcare, Insurance, Cyber-Security etc.
- Evaluate if your organization needs machine learning, and how can it be optimally implemented.
- Various problems in different domains in the industry and how machine learning solved them
- Implementing machine learning in an existing system, support for developing these systems, developer quality, training requirements, and more.
- Understand the application of machine learning techniques across multiple industries and verticals
- Requirements for implementing machine learning- infrastructure, systems, developers, machine learning experts, and more.
Who This Book Is For
This book is intended for CEOs, CTOs, project leads, or anyone who wishes to understand how machine learning is implemented by different organizations, the impact it has, and how one can implement it for their customized business needs.
商品描述(中文翻譯)
透過利用機器學習的力量來解決不同的商業挑戰並實現數據貨幣化
主要特點
- 從我們的行業專家那裡獲取機器學習實施的真實故事;
- 通過豐富的案例研究學習、探索和評估各種機器學習實施;
- 從商業的角度看待機器學習,了解機器學習在貨幣化方面的好處。
書籍描述
隨著來自互聯網、設備、社交媒體等多種來源的信息流動,每個人都希望為面臨的實際問題實施機器學習算法。機器學習技術及其在多個領域的應用已成為行業中最大的變革者之一。公司正在實驗以利用機器學習的力量。本書將帶您踏上一段充滿事件的機器學習之旅。您將了解公司如何實施機器學習來實現數據貨幣化,以及他們如何成功地實施它以顯著提高收入。本書將幫助大中小型公司利用機器學習的力量並理解其影響。
書中提到的每個主題都將幫助您理解和欣賞機器學習技術及其實施的價值。討論的案例研究將帶您進入機器學習技術的旅程。您將了解機器學習領域的新發展。本書充滿了解決現實生活中問題的例子,這些問題是為了使您的應用程序產生更好的結果。您將獲得在機器學習領域面臨的實際挑戰的經驗。您將獲得解決問題的實踐經驗。所涵蓋的主題經過全面研究後精心挑選。
在本書結束時,您將了解機器學習技術在各個領域和行業中發生的最新發展。這將幫助您發展尖端知識。
您將學到什麼
- 機器學習對醫療保健、保險、網絡安全等各行業的影響。
- 評估您的組織是否需要機器學習,以及如何最佳實施。
- 行業中不同領域的各種問題以及機器學習如何解決它們。
- 在現有系統中實施機器學習,支持這些系統的開發、開發者質量、培訓需求等。
- 了解機器學習技術在多個行業和垂直領域的應用。
- 實施機器學習的要求——基礎設施、系統、開發者、機器學習專家等。
本書適合誰
本書適合首席執行官、首席技術官、項目負責人或任何希望了解不同組織如何實施機器學習、其影響以及如何根據自定義商業需求實施機器學習的人士。