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논픽션
Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and Keras
Key Features
• Get to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and Keras
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• Implement advanced concepts and popular machine learning algorithms in real-world projects
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• Build analytics, computer vision, and neural network projects
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Book Description
Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects.
The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you'll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you'll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you'll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you'll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks.
By the end of this book, you'll be able to analyze data seamlessly and make a powerful impact through your projects.
What you will learn
• Understand the Python data science stack and commonly used algorithms
• Build a model to forecast the performance of an Initial Public Offering (IPO) over an initial discrete trading window
• Understand NLP concepts by creating a custom news feed
• Create applications that will recommend GitHub repositories based on ones you've starred, watched, or forked
• Gain the skills to build a chatbot from scratch using PySpark
• Develop a market-prediction app using stock data
• Delve into advanced concepts such as computer vision, neural networks, and deep learning
Who this book is for
This book is for machine learning practitioners, data scientists, and deep learning enthusiasts who want to take their machine learning skills to the next level by building real-world projects. The intermediate-level guide will help you to implement libraries from the Python ecosystem to build a variety of projects addressing various machine learning domains. Knowledge of Python programming and machine learning concepts will be helpful.
© 2019 Packt Publishing (전자책): 9781788997775
출시일
전자책: 2019년 1월 31일
태그
국내 유일 해리포터 시리즈 오디오북
5만권이상의 영어/한국어 오디오북
키즈 모드(어린이 안전 환경)
월정액 무제한 청취
언제든 취소 및 해지 가능
오프라인 액세스를 위한 도서 다운로드
친구 또는 가족과 함께 오디오북을 즐기고 싶은 분들을 위해
2-3 계정
무제한 청취
2-3 계정
무제한 청취
언제든 해지하실 수 있어요
2 개 계정
17900 원 /월한국어
대한민국