컴퓨터/IT 개발/프로그래밍 , 컴퓨터/IT 컴퓨터/앱 활용
[체험판] Machine Learning for Developers
판매가 | 무료 |
- 출간 정보
- 2017.10.26. 전자책, 종이책 동시 출간
- 파일 정보
- 19.3MB
- 52쪽
- ISBN
- 9781786466969
- ECN
- -
리디 접속이 원활하지 않습니다.
강제 새로 고침(Ctrl + F5)이나 브라우저 캐시 삭제를 진행해주세요.
계속해서 문제가 발생한다면 리디 접속 테스트를 통해 원인을 파악하고 대응 방법을 안내드리겠습니다.
테스트 페이지로 이동하기
컴퓨터/IT 개발/프로그래밍 , 컴퓨터/IT 컴퓨터/앱 활용
판매가 | 무료 |
* 이 책은 본권의 일부를 무료로 제공하는 체험판입니다.
* 본권 구입을 원하실 경우, [이 책의 시리즈]→[책 선택] 후 구매해주시기 바랍니다.
<[체험판] Machine Learning for Developers>
▶About This Book
Today, a network with hundreds of millions of degrees of freedom can be assembled in minutes, trained in hours, and put into production in a few days, (obviously, if you know the right technologies to so).
This is one of the reasons why most of the radical advancements in
computer vision, language understanding, and pattern recognition in general are being driven specifically by different flavors of neural networks that have been proposed recently.
This exponentially growing set of knowledge, techniques, and programming libraries makes most classical texts on the subject obsolete, at least for the deployment of fast and practical applications.
For this reason, a book like this can be celebrated as a quick and to-the-point text that provides all the materials required to successfully implement and understand a machine learning application in a single reading. In this book, you will find:
1. The fundamentals of machine learning tasks (classification, clustering, regression, and data reduction), together with a quick, yet comprehensive introduction to the mathematical and statistical foundations of the subject.
2. A more detailed presentation of Neural Networks as a learning model, together with basics of the training algorithms, convergence crite0ria, and the evaluation of results.
3. An introduction the most advanced learning models using more elaborate
networks, including convolutional, recurrent, and adversarial networks. Each of the models is analyzed thoroughly, both in theoretical and in practical
considerations.
4. A comprehensive guide to open source software that, together with the previous material, allows the reader to put the concepts into practice very quickly.
This book is highly recommended for practitioners in academia who feel their expertise is becoming outdated, for developers who need to deploy sophisticated machine learning features in business applications, and for anyone willing to gain a broad and practical understanding of machine learning. The author transmits his vast experience in the subject in a very clear and systematic manner, making the book easy to follow and put into
practice.
▶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
▶What You Will Learn
⦁ Learn the math and mechanics of Machine Learning via a developer-friendly approach
⦁ Get to grips with widely used Machine Learning algorithms/techniques and how to use them to solve real problems
⦁ Get a feel for advanced concepts, using popular programming frameworks.
⦁ Prepare yourself and other developers for working in the new ubiquitous field of Machine Learning
⦁ Get an overview of the most well known and powerful tools, to solve computing problems using Machine Learning.
⦁ Get an intuitive and down-to-earth introduction to current Machine Learning areas, and apply these concepts on interesting and cutting-edge problems.
▶Editorial Review
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.
▶About the Author-Rodolfo Bonnin
⦁ Rodolfo Bonnin is a systems engineer and Ph.D. student at Universidad Tecnológica Nacional, Argentina. He has also pursued parallel programming and image understanding postgraduate courses at Universität Stuttgart, Germany.
He has been doing research on high-performance computing since 2005 and began studying and implementing convolutional neural networks in 2008, writing a CPU- and GPU-supporting neural network feedforward stage. More recently he's been working in the field of fraud pattern detection with Neural Networks and is currently working on signal classification using machine learning techniques.
He is also the author of Building Machine Learning Projects with Tensorflow, by Packt Publishing.
▶TABLE of CONTENTS
1: INTRODUCTION - MACHINE LEARNING AND STATISTICAL SCIENCE
2: THE LEARNING PROCESS
3: CLUSTERING
4: LINEAR AND LOGISTIC REGRESSION
5: NEURAL NETWORKS
6: CONVOLUTIONAL NEURAL NETWORKS
7: RECURRENT NEURAL NETWORKS
8: RECENT MODELS AND DEVELOPMENTS
9: SOFTWARE INSTALLATION AND CONFIGURATION
0.0 점
0명이 평가함
내가 남긴 별점 0.0
별로예요
그저 그래요
보통이에요
좋아요
최고예요
'구매자' 표시는 리디에서 유료도서 결제 후 다운로드 하시거나 리디셀렉트 도서를 다운로드하신 경우에만 표시됩니다.
성인 인증 안내
성인 재인증 안내
청소년보호법에 따라 성인 인증은 1년간
유효하며, 기간이 만료되어 재인증이 필요합니다.
성인 인증 후에 이용해 주세요.
해당 작품은 성인 인증 후 보실 수 있습니다.
성인 인증 후에 이용해 주세요.
청소년보호법에 따라 성인 인증은 1년간
유효하며, 기간이 만료되어 재인증이 필요합니다.
성인 인증 후에 이용해 주세요.
해당 작품은 성인 인증 후 선물하실 수 있습니다.
성인 인증 후에 이용해 주세요.
본문 끝 최상단으로 돌아가기
무료이용권을 사용하시겠습니까?
사용 가능 : 장
<>부터 총 화
무료이용권으로 대여합니다.
무료이용권으로
총 화 대여 완료했습니다.
남은 작품 : 총 화 (원)
[체험판] Machine Learning for Developers
작품 제목
대여 기간 : 일
작품 제목
결제 금액 : 원
결제 가능한 리디캐시, 포인트가 없습니다.
리디캐시를 충전하시면 자동으로 결제됩니다.
최대 5% 리디포인트 적립 혜택도 놓치지 마세요!
이미 구매한 작품입니다.
작품 제목
원하는 결제 방법을 선택해주세요.
작품 제목
대여 기간이 만료되었습니다.
다음화를 보시겠습니까?