Machine Learning Dengan R Teori Praktikum
DOWNLOAD
Download Machine Learning Dengan R Teori Praktikum PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Machine Learning Dengan R Teori Praktikum book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Machine Learning Dengan R Teori Praktikum
DOWNLOAD
Author : Joko Ade Nursiyono
language : id
Publisher: Media Nusa Creative (MNC Publishing)
Release Date : 2023-03-02
Machine Learning Dengan R Teori Praktikum written by Joko Ade Nursiyono and has been published by Media Nusa Creative (MNC Publishing) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-02 with Education categories.
Machine Learning (ML) merupakan cabang ilmu di era Data Science dan Big Data yang akhir-akhir ini populer. Dengan segala manfaat yang diberikan oleh ML, banyak aspek dalam kehidupan sehari- hari yang seketika berubah menjadi sebuah sistem otomatis yang berjalan menggunakan beragam jenis algoritma pemrograman mesin.
Pengantar Analisis Data Dengan R Studio
DOWNLOAD
Author : Akbar Iskandar
language : id
Publisher: Yayasan Cendekiawan Inovasi Digital Indonesia
Release Date : 2023-06-23
Pengantar Analisis Data Dengan R Studio written by Akbar Iskandar and has been published by Yayasan Cendekiawan Inovasi Digital Indonesia this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-23 with Mathematics categories.
Literasi Digital Akademik
DOWNLOAD
Author : Akhmad Dahlan
language : id
Publisher: TOHAR MEDIA
Release Date : 2024-08-07
Literasi Digital Akademik written by Akhmad Dahlan and has been published by TOHAR MEDIA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-07 with Language Arts & Disciplines categories.
Machine Learning
DOWNLOAD
Author : Dr. Ir. Lasmedi Afuan, S.T., M.Cs., I.P.M.,
language : id
Publisher: Zahira Media Publisher
Release Date :
Machine Learning written by Dr. Ir. Lasmedi Afuan, S.T., M.Cs., I.P.M., and has been published by Zahira Media Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Buku ini disusun untuk memberikan pemahaman mendalam tentang teori dan penerapan machine learning (ML), dirancang sesuai dengan kurikulum berbasis Outcome-Based Education (OBE). Dengan pembahasan mulai dari konsep dasar hingga aplikasi praktis, buku ini memandu pembaca melalui langkah-langkah pembelajaran machine learning secara terstruktur. Bab-bab awal mengenalkan perbedaan antara supervised dan unsupervised learning, serta menjelaskan algoritma dasar seperti regresi, klasifikasi, dan clustering. Selanjutnya, buku ini menjelaskan bagaimana membangun pipeline ML secara menyeluruh, dari data preprocessing, model training, hingga deployment. Buku ini juga memperkenalkan berbagai teknik optimasi model seperti hyperparameter tuning, evaluasi performa model menggunakan metrik akurasi, presisi, recall, dan F1-score, serta integrasi ML ke dalam aplikasi nyata di berbagai domain seperti kesehatan dan keuangan. Selain itu, buku ini menekankan pentingnya aspek etika dalam pengembangan model ML, seperti isu bias, fairness, dan interpretabilitas, yang menjadi perhatian utama dalam penggunaan ML di dunia nyata. Dengan adanya studi kasus dan contoh implementasi praktis, buku ini memberikan wawasan tentang cara menerapkan ML dalam memecahkan masalah nyata, serta tantangan yang mungkin dihadapi dalam prosesnya
Hands On Machine Learning With R
DOWNLOAD
Author : Brad Boehmke
language : en
Publisher: CRC Press
Release Date : 2019-11-07
Hands On Machine Learning With R written by Brad Boehmke and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-07 with Business & Economics categories.
Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering, resampling, deep learning and more. · Uses a hands-on approach and real world data.
Practical Machine Learning In R
DOWNLOAD
Author : Fred Nwanganga
language : en
Publisher: John Wiley & Sons
Release Date : 2020-04-10
Practical Machine Learning In R written by Fred Nwanganga and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-10 with Computers categories.
Guides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming language Machine learning—a branch of Artificial Intelligence (AI) which enables computers to improve their results and learn new approaches without explicit instructions—allows organizations to reveal patterns in their data and incorporate predictive analytics into their decision-making process. Practical Machine Learning in R provides a hands-on approach to solving business problems with intelligent, self-learning computer algorithms. Bestselling author and data analytics experts Fred Nwanganga and Mike Chapple explain what machine learning is, demonstrate its organizational benefits, and provide hands-on examples created in the R programming language. A perfect guide for professional self-taught learners or students in an introductory machine learning course, this reader-friendly book illustrates the numerous real-world business uses of machine learning approaches. Clear and detailed chapters cover data wrangling, R programming with the popular RStudio tool, classification and regression techniques, performance evaluation, and more. Explores data management techniques, including data collection, exploration and dimensionality reduction Covers unsupervised learning, where readers identify and summarize patterns using approaches such as apriori, eclat and clustering Describes the principles behind the Nearest Neighbor, Decision Tree and Naive Bayes classification techniques Explains how to evaluate and choose the right model, as well as how to improve model performance using ensemble methods such as Random Forest and XGBoost Practical Machine Learning in R is a must-have guide for business analysts, data scientists, and other professionals interested in leveraging the power of AI to solve business problems, as well as students and independent learners seeking to enter the field.
Machine Learning Using R
DOWNLOAD
Author : Karthik Ramasubramanian
language : en
Publisher: Apress
Release Date : 2019-01-04
Machine Learning Using R written by Karthik Ramasubramanian and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-04 with Computers categories.
Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R. As in the first edition, the authors have kept the fine balance of theory and application of machine learning through various real-world use-cases which gives you a comprehensive collection of topics in machine learning. New chapters in this edition cover time series models and deep learning. What You'll Learn Understand machine learning algorithms using R Master the process of building machine-learning models Cover the theoretical foundations of machine-learning algorithms See industry focused real-world use cases Tackle time series modeling in R Apply deep learning using Keras and TensorFlow in R Who This Book is For Data scientists, data science professionals, and researchers in academia who want to understand the nuances of machine-learning approaches/algorithms in practice using R.
Machine Learning Algorithms And Their Use Cases
DOWNLOAD
Author : Yuliana, S.Kom., M.Kom.
language : id
Publisher: Penerbit Widina
Release Date : 2025-03-26
Machine Learning Algorithms And Their Use Cases written by Yuliana, S.Kom., M.Kom. and has been published by Penerbit Widina this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-26 with Computers categories.
Di era digital yang serba cepat, Machine Learning telah menjadi kunci utama dalam mengolah data dan menciptakan teknologi cerdas. Buku ini membahas berbagai algoritma machine learning, bagaimana cara kerja mereka, serta bagaimana data menjadi bahan bakar utama dalam pengambilan keputusan otomatis. Dengan pendekatan sistematis, pembaca akan diperkenalkan pada dasar-dasar machine learning, mulai dari konsep statistik hingga penerapan teknologi terkini. Lebih dari sekadar teori, buku ini menghubungkan machine learning dengan inovasi nyata, termasuk dalam pengembangan teknologi robot. Bagaimana algoritma memungkinkan robot untuk berpikir, belajar, dan beradaptasi? Jawaban dari pertanyaan ini akan dikupas dalam bab-bab menarik yang mengulas interaksi antara kecerdasan buatan dan dunia fisik. Pembaca akan memahami bagaimana teknologi ini mengubah industri, mulai dari otomasi manufaktur hingga kendaraan otonom. Sebagai nilai tambah, buku ini menghadirkan berbagai use case study yang relevan dengan perkembangan industri modern. Dari analisis data dalam bisnis hingga pemanfaatan Al dalam kesehatan, setiap studi kasus memberikan wawasan mendalam tentang penerapan machine learning dalam dunia nyata. Buku ini bukan hanya panduan teknis, tetapi juga inspirasi bagi siapa saja yang ingin menggali lebih dalam potensi kecerdasan buatan di masa depan.
Machine Learning Made Easy With R
DOWNLOAD
Author : N. Lewis
language : en
Publisher:
Release Date : 2017-05-07
Machine Learning Made Easy With R written by N. Lewis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-07 with categories.
Finally, A Blueprint for Machine Learning with R! Machine Learning Made Easy with R offers a practical tutorial that uses hands-on examples to step through real-world applications using clear and practical case studies. Through this process it takes you on a gentle, fun and unhurried journey to creating machine learning models with R. Whether you are new to data science or a veteran, this book offers a powerful set of tools for quickly and easily gaining insight from your data using R. NO EXPERIENCE REQUIRED: This book uses plain language rather than a ton of equations; I'm assuming you never did like linear algebra, don't want to see things derived, dislike complicated computer code, and you're here because you want to try successful machine learning algorithms for yourself. YOUR PERSONAL BLUE PRINT: Through a simple to follow intuitive step by step process, you will learn how to use the most popular machine learning algorithms using R. Once you have mastered the process, it will be easy for you to translate your knowledge to assess your own data. THIS BOOK IS FOR YOU IF YOU WANT: Focus on explanations rather than mathematical derivation Practical illustrations that use real data. Illustrations to deepen your understanding. Worked examples in R you can easily follow and immediately implement. Ideas you can actually use and try on your own data. TAKE THE SHORTCUT: This guide was written for people just like you. Individuals who want to get up to speed as quickly as possible. to: YOU'LL LEARN HOW TO: Unleash the power of Decision Trees. Develop hands on skills using k-Nearest Neighbors. Design successful applications with Naive Bayes. Deploy Linear Discriminant Analysis. Explore Support Vector Machines. Master Linear and logistic regression. Create solutions with Random Forests. Solve complex problems with Boosting. Gain deep insights via K-Means clustering. Acquire tips to enhance model performance. For each machine learning algorithm, every step in the process is detailed, from preparing the data for analysis, to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks. Using plain language, this book offers a simple, intuitive, practical, non-mathematical, easy to follow guide to the most successful ideas, outstanding techniques and usable solutions available using R. Everything you need to get started is contained within this book. Machine Learning Made Easy with R is your very own hands on practical, tactical, easy to follow guide to mastery. Buy this book today and accelerate your progress!
Mastering Machine Learning With R
DOWNLOAD
Author : Cory Leismester
language : en
Publisher: Packt Publishing
Release Date : 2015-10-28
Mastering Machine Learning With R written by Cory Leismester and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-28 with Computers categories.
Master machine learning techniques with R to deliver insights for complex projectsAbout This Book• Get to grips with the application of Machine Learning methods using an extensive set of R packages• Understand the benefits and potential pitfalls of using machine learning methods• Implement the numerous powerful features offered by R with this comprehensive guide to building an independent R-based ML systemWho This Book Is ForIf you want to learn how to use R's machine learning capabilities to solve complex business problems, then this book is for you. Some experience with R and a working knowledge of basic statistical or machine learning will prove helpful.What You Will Learn• Gain deep insights to learn the applications of machine learning tools to the industry• Manipulate data in R efficiently to prepare it for analysis• Master the skill of recognizing techniques for effective visualization of data• Understand why and how to create test and training data sets for analysis• Familiarize yourself with fundamental learning methods such as linear and logistic regression• Comprehend advanced learning methods such as support vector machines• Realize why and how to apply unsupervised learning methodsIn DetailMachine learning is a field of Artificial Intelligence to build systems that learn from data. Given the growing prominence of R—a cross-platform, zero-cost statistical programming environment—there has never been a better time to start applying machine learning to your data.The book starts with introduction to Cross-Industry Standard Process for Data Mining. It takes you through Multivariate Regression in detail. Moving on, you will also address Classification and Regression trees. You will learn a couple of “Unsupervised techniques”. Finally, the book will walk you through text analysis and time series.The book will deliver practical and real-world solutions to problems and variety of tasks such as complex recommendation systems. By the end of this book, you will gain expertise in performing R machine learning and will be able to build complex ML projects using R and its packages.Style and approachThis is a book explains complicated concepts with easy to follow theory and real-world, practical applications. It demonstrates the power of R and machine learning extensively while highlighting the constraints.