Workshop Data Science Pelajari Bagaimana Anda Dapat Membuat Model Pembelajaran Mesin Dan Membuat Proyek Ilmu Data Dunia Nyata Anda Sendiri Jilid 3
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Workshop Data Science Pelajari Bagaimana Anda Dapat Membuat Model Pembelajaran Mesin Dan Membuat Proyek Ilmu Data Dunia Nyata Anda Sendiri Jilid 3
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Author : Dony Novaliendry, S.Kom., M.Kom
language : id
Publisher: Penerbit CV. SARNU UNTUNG
Release Date :
Workshop Data Science Pelajari Bagaimana Anda Dapat Membuat Model Pembelajaran Mesin Dan Membuat Proyek Ilmu Data Dunia Nyata Anda Sendiri Jilid 3 written by Dony Novaliendry, S.Kom., M.Kom and has been published by Penerbit CV. SARNU UNTUNG this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Di mana ada data, di situ ada wawasan. Dengan begitu banyak data yang dihasilkan, terdapat ruang lingkup yang sangat besar untuk mengekstrak informasi bermakna yang akan meningkatkan produktivitas dan profitabilitas bisnis. Dengan belajar mengubah data mentah menjadi wawasan yang mengubah permainan, Anda akan membuka jalur dan peluang karier baru. Workshop Ilmu Data, dimulai dengan memperkenalkan berbagai jenis proyek dan menunjukkan kepada Anda cara memasukkan algoritme pembelajaran mesin ke dalamnya. Anda akan belajar memilih metrik yang relevan dan bahkan menilai performa model Anda. Untuk menyempurnakan hyperparameter suatu algoritme dan meningkatkan akurasinya, Anda akan mempelajari pendekatan langsung seperti penelusuran grid dan penelusuran acak. Terakhir, Anda akan mempelajari teknik reduksi dimensi untuk menangani banyak variabel sekaligus dengan mudah, sebelum mempelajari cara menggunakan teknik ensembling model dan membuat fitur baru untuk meningkatkan performa model. Di akhir buku ini, Anda akan memiliki keterampilan untuk mulai mengerjakan proyek ilmu data dengan percaya diri.
Workshop Data Science Pelajari Bagaimana Anda Dapat Membuat Model Pembelajaran Mesin Dan Membuat Proyek Ilmu Data Dunia Nyata Anda Sendiri Jilid 1
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Author : Dony Novaliendry, S.Kom., M.Kom
language : id
Publisher: Penerbit CV. SARNU UNTUNG
Release Date :
Workshop Data Science Pelajari Bagaimana Anda Dapat Membuat Model Pembelajaran Mesin Dan Membuat Proyek Ilmu Data Dunia Nyata Anda Sendiri Jilid 1 written by Dony Novaliendry, S.Kom., M.Kom and has been published by Penerbit CV. SARNU UNTUNG this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Dalam buku Workshop Data Science. Di mana ada data, di situ ada wawasan. Dengan begitu banyak data yang dihasilkan, terdapat ruang lingkup yang sangat besar untuk mengekstrak informasi bermakna yang akan meningkatkan produktivitas dan profitabilitas bisnis. Dengan belajar mengubah data mentah menjadi wawasan yang mengubah permainan, Anda akan membuka jalur dan peluang karier baru.
Workshop Data Science Pelajari Bagaimana Anda Dapat Membuat Model Pembelajaran Mesin Dan Membuat Proyek Ilmu Data Dunia Nyata Anda Sendiri Jilid 2
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Author : Dony Novaliendry, S.Kom., M.Kom
language : id
Publisher: Penerbit CV. SARNU UNTUNG
Release Date :
Workshop Data Science Pelajari Bagaimana Anda Dapat Membuat Model Pembelajaran Mesin Dan Membuat Proyek Ilmu Data Dunia Nyata Anda Sendiri Jilid 2 written by Dony Novaliendry, S.Kom., M.Kom and has been published by Penerbit CV. SARNU UNTUNG this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Di mana ada data, di situ ada wawasan. Dengan begitu banyak data yang dihasilkan, terdapat ruang lingkup yang sangat besar untuk mengekstrak informasi bermakna yang akan meningkatkan produktivitas dan profitabilitas bisnis. Dengan belajar mengubah data mentah menjadi wawasan yang mengubah permainan, Anda akan membuka jalur dan peluang karier baru. Workshop Ilmu Data, dimulai dengan memperkenalkan berbagai jenis proyek dan menunjukkan kepada Anda cara memasukkan algoritme pembelajaran mesin ke dalamnya. Anda akan belajar memilih metrik yang relevan dan bahkan menilai performa model Anda. Untuk menyempurnakan hyperparameter suatu algoritme dan meningkatkan akurasinya, Anda akan mempelajari pendekatan langsung seperti penelusuran grid dan penelusuran acak.
Apply Data Science
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Author : Thomas Barton
language : en
Publisher: Springer Nature
Release Date : 2023-01-01
Apply Data Science written by Thomas Barton and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Computers categories.
This book offers an introduction to the topic of data science based on the visual processing of data. It deals with ethical considerations in the digital transformation and presents a process framework for the evaluation of technologies. It also explains special features and findings on the failure of data science projects and presents recommendation systems in consideration of current developments. Machine learning functionality in business analytics tools is compared and the use of a process model for data science is shown.The integration of renewable energies using the example of photovoltaic systems, more efficient use of thermal energy, scientific literature evaluation, customer satisfaction in the automotive industry and a framework for the analysis of vehicle data serve as application examples for the concrete use of data science. The book offers important information that is just as relevant for practitioners as for students and teachers.
The Handbook Of Data Science And Ai
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Author : Stefan Papp
language : en
Publisher: Carl Hanser Verlag GmbH Co KG
Release Date : 2022-04-11
The Handbook Of Data Science And Ai written by Stefan Papp and has been published by Carl Hanser Verlag GmbH Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-11 with Computers categories.
Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them. Featuring: - A comprehensive overview of the various fields of application of data science - Case studies from practice to make the described concepts tangible - Practical examples to help you carry out simple data analysis projects - BONUS in print edition: E-Book inside The book approaches the topic of data science from several sides. Crucially, it will show you how to build data platforms and apply data science tools and methods. Along the way, it will help you understand - and explain to various stakeholders - how to generate value from these techniques, such as applying data science to help organizations make faster decisions, reduce costs, and open up new markets. Furthermore, it will bring fundamental concepts related to data science to life, including statistics, mathematics, and legal considerations. Finally, the book outlines practical case studies that illustrate how knowledge generated from data is changing various industries over the long term. Contains these current issues: - Mathematics basics: Mathematics for Machine Learning to help you understand and utilize various ML algorithms. - Machine Learning: From statistical to neural and from Transformers and GPT-3 to AutoML, we introduce common frameworks for applying ML in practice - Natural Language Processing: Tools and techniques for gaining insights from text data and developing language technologies - Computer vision: How can we gain insights from images and videos with data science? - Modeling and Simulation: Model the behavior of complex systems, such as the spread of COVID-19, and do a What-If analysis covering different scenarios. - ML and AI in production: How to turn experimentation into a working data science product? - Presenting your results: Essential presentation techniques for data scientists
Pengantar Data Science
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Author : Grasberg Nahumarury
language : id
Publisher: Penerbit Andi
Release Date : 2025-07-30
Pengantar Data Science written by Grasberg Nahumarury and has been published by Penerbit Andi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-30 with Computers categories.
Data science merupakan bidang ilmu yang berfokus pada ekstraksi pengetahuan dan wawasan dari data. Tentunya ini melibatkan penggunaan berbagai teknik dan alat untuk menganalisis data, baik terstruktur maupun tidak terstruktur, untuk mengidentifikasi pola, tren, dan wawasan yang berguna untuk pengambilan keputusan. Dalam buku ini, pembaca dapat mempelajari berbagai konsep dasar dalam data sains, seperti pengumpulan dan pengolahan data, teknik analisis data, serta interpretasi data. Buku ini dirancang dengan bahasa yang mudah dipahami oleh siapa saja, tanpa memandang latar belakang pendidikan atau pengalaman kerja. Buku ini juga dilengkapi dengan contoh kasus dan latihan soal yang dapat membantu pembaca memahami konsep-konsep tersebut secara lebih mendalam. Dengan membaca buku ini, pembaca akan memiliki pemahaman yang lebih baiktentang data sains dan dapat menerapkannya dalam kehidupan sehari-hari.
The Data Science Workshop Second Edition
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Author : Anthony So (Data scientist)
language : en
Publisher:
Release Date : 2020
The Data Science Workshop Second Edition written by Anthony So (Data scientist) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Gain expert guidance on how to successfully develop machine learning models in Python and build your own unique data platforms Key Features Gain a full understanding of the model production and deployment process Build your first machine learning model in just five minutes and get a hands-on machine learning experience Understand how to deal with common challenges in data science projects Book Description Where there's data, there's insight. With so much data being generated, there is immense scope to extract meaningful information that'll boost business productivity and profitability. By learning to convert raw data into game-changing insights, you'll open new career paths and opportunities. The Data Science Workshop begins by introducing different types of projects and showing you how to incorporate machine learning algorithms in them. You'll learn to select a relevant metric and even assess the performance of your model. To tune the hyperparameters of an algorithm and improve its accuracy, you'll get hands-on with approaches such as grid search and random search. Next, you'll learn dimensionality reduction techniques to easily handle many variables at once, before exploring how to use model ensembling techniques and create new features to enhance model performance. In a bid to help you automatically create new features that improve your model, the book demonstrates how to use the automated feature engineering tool. You'll also understand how to use the orchestration and scheduling workflow to deploy machine learning models in batch. By the end of this book, you'll have the skills to start working on data science projects confidently. By the end of this book, you'll have the skills to start working on data science projects confidently. What you will learn Explore the key differences between supervised learning and unsupervised learning Manipulate and analyze data using scikit-learn and pandas libraries Understand key concepts such as regression, classification, and clustering Discover advanced techniques to improve the accuracy of your model Understand how to speed up the process of adding new features Simplify your machine learning workflow for production Who this book is for This is one of the most useful data science books for aspiring data analysts, data scientists, database engineers, and business analysts. It is aimed at those who want to kick-start their careers in data science by quickly learning data science techniques without going ...
The The Data Science Workshop
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Author : Anthony So
language : en
Publisher:
Release Date : 2020-08-28
The The Data Science Workshop written by Anthony So and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-28 with categories.
Gain expert guidance on how to successfully develop machine learning models in Python and build your own unique data platforms Key Features Gain a full understanding of the model production and deployment process Build your first machine learning model in just five minutes and get a hands-on machine learning experience Understand how to deal with common challenges in data science projects Book Description Where there's data, there's insight. With so much data being generated, there is immense scope to extract meaningful information that'll boost business productivity and profitability. By learning to convert raw data into game-changing insights, you'll open new career paths and opportunities. The Data Science Workshop begins by introducing different types of projects and showing you how to incorporate machine learning algorithms in them. You'll learn to select a relevant metric and even assess the performance of your model. To tune the hyperparameters of an algorithm and improve its accuracy, you'll get hands-on with approaches such as grid search and random search. Next, you'll learn dimensionality reduction techniques to easily handle many variables at once, before exploring how to use model ensembling techniques and create new features to enhance model performance. In a bid to help you automatically create new features that improve your model, the book demonstrates how to use the automated feature engineering tool. You'll also understand how to use the orchestration and scheduling workflow to deploy machine learning models in batch. By the end of this book, you'll have the skills to start working on data science projects confidently. By the end of this book, you'll have the skills to start working on data science projects confidently. What you will learn Explore the key differences between supervised learning and unsupervised learning Manipulate and analyze data using scikit-learn and pandas libraries Understand key concepts such as regression, classification, and clustering Discover advanced techniques to improve the accuracy of your model Understand how to speed up the process of adding new features Simplify your machine learning workflow for production Who this book is for This is one of the most useful data science books for aspiring data analysts, data scientists, database engineers, and business analysts. It is aimed at those who want to kick-start their careers in data science by quickly learning data science techniques without going through all the mathematics behind machine learning algorithms. Basic knowledge of the Python programming language will help you easily grasp the concepts explained in this book.
The Data Science Workshop
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Author : Anthony So
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-01-29
The Data Science Workshop written by Anthony So and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-29 with Computers categories.
Cut through the noise and get real results with a step-by-step approach to data science Key Features Ideal for the data science beginner who is getting started for the first time A data science tutorial with step-by-step exercises and activities that help build key skills Structured to let you progress at your own pace, on your own terms Use your physical print copy to redeem free access to the online interactive edition Book DescriptionYou already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that lead to real results. Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book. Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.What you will learn Find out the key differences between supervised and unsupervised learning Manipulate and analyze data using scikit-learn and pandas libraries Learn about different algorithms such as regression, classification, and clustering Discover advanced techniques to improve model ensembling and accuracy Speed up the process of creating new features with automated feature tool Simplify machine learning using open source Python packages Who this book is forOur goal at Packt is to help you be successful, in whatever it is you choose to do. The Data Science Workshop is an ideal data science tutorial for the data science beginner who is just getting started. Pick up a Workshop today and let Packt help you develop skills that stick with you for life.
Data Science Technology
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Author : Jarot Budiasto
language : id
Publisher: Star Digital Publishing
Release Date : 2025-06-16
Data Science Technology written by Jarot Budiasto and has been published by Star Digital Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-16 with Computers categories.
Buku "Data Science Technology" menyajikan wawasan mengenai konsep, teknologi, dan penerapan ilmu data dalam berbagai sektor industri modern. Ditulis dengan pendekatan sistematis dan aplikatif, buku ini membahas fondasi utama ilmu data, mulai dari Pengenalan Teknologi Data Science, Peran Data Scientist, Dasar-Dasar Statistik untuk Data Science, dan Pengolahan dan Manajemen Data. Pembaca akan diajak untuk memahami bagaimana teknologi Bahasa Pemrograman untuk Data Science berperan penting dalam mengolah dan mengekstraksi nilai dari data besar (big data). Selain itu, buku ini mengulas berbagai Eksplorasi dan Visualisasi Data dan Machine Learning: Konsep dan Klasifikasi. Dengan bahasa yang lugas namun tetap ilmiah, Data Science Technology tidak hanya memperkaya wawasan pembaca mengenai lanskap teknologi data saat ini, tetapi juga mendorong pemahaman kritis dan aplikatif dalam menghadapi tantangan era digital. Buku ini adalah bekal penting untuk membangun kompetensi dan daya saing di tengah gelombang transformasi digital yang berbasis data.