Machine Learning for Developer

Key Features

• Learn to develop efficient and intelligent applications by leveraging the power of Machine Learning
• A highly practical guide explaining the concepts of problem solving in the easiest possible manner
• Implement Machine Learning in the most practical way

Book Description

Most of us have heard about the term Machine Learning, but surprisingly the question frequently asked by developers across the globe is, “How do I get started in Machine Learning?”. One reason could be attributed to the vastness of the subject area because people often get overwhelmed by the abstractness of ML and terms such as regression, supervised learning, probability density function, and so on. This book is a systematic guide teaching you how to implement various Machine Learning techniques and their day-to-day application and development.

You will start with the very basics of data and mathematical models in easy-to-follow language that you are familiar with; you will feel at home while implementing the examples. The book will introduce you to various libraries and frameworks used in the world of Machine Learning, and then, without wasting any time, you will get to the point and implement Regression, Clustering, classification, Neural networks, and more with fun examples. As you get to grips with the techniques, you'll learn to implement those concepts to solve real-world scenarios for ML applications such as image analysis, Natural Language processing, and anomaly detections of time series data.

By the end of the book, you will have learned various ML techniques to develop more efficient and intelligent applications.

What you will learn

• Learn the math and mechanics of Machine Learning via a

主要特點

- 透過機器學習的強大功能，學習開發高效且智能的應用程式
- 以最簡單易懂的方式解釋問題解決的概念，提供高度實用的指南
- 以最實際的方式實現機器學習

書籍描述

大多數人都聽過機器學習這個詞，但令人驚訝的是，全球開發人員經常問的問題是：“我該如何入門機器學習？”其中一個原因可能是這個主題的廣泛性，因為人們常常被機器學習的抽象性和回歸、監督學習、概率密度函數等術語所淹沒。本書是一本系統性的指南，教你如何實現各種機器學習技術及其日常應用和開發。

你將從易於理解的語言中開始學習數據和數學模型的基礎知識；在實施示例時，你會感到非常熟悉。本書將向你介紹機器學習世界中使用的各種庫和框架，然後，不浪費任何時間，你將直接實施回歸、聚類、分類、神經網絡等技術，並提供有趣的示例。隨著你掌握這些技術，你將學會將這些概念應用於解決機器學習應用的實際場景，例如圖像分析、自然語言處理和時間序列數據的異常檢測。

通過閱讀本書，你將學習各種機器學習技術，開發更高效和智能的應用程式。

你將學到什麼

- 通過一個數學和機器學習的機制來學習機器學習