Data Science Class 8

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Data Science Class 8

Author : VK Jain
Publisher : Orange Education Pvt Ltd
ISBN 13 : 9391246362
Total Pages : 482 pages
Book Rating : 4.3/5 (912 download)

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Book Synopsis Data Science Class 8 by : VK Jain

Download or read book Data Science Class 8 written by VK Jain and published by Orange Education Pvt Ltd. This book was released on 2021-10-11 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: TAGLINE Data Science is a multidisciplinary field that also interacts with various other technologies like Artificial Intelligence, Machine Learning, Deep Learning, the Internet of Things, etc. KEY FEATURES ● National Education Policy 2020 ● Activity: This section contains a topic based practical activity for the students to explore and learn. ● Higher Order Thinking Skills: This section contains the questions that are out of the box and helps the learner to think differently. ● Glossary: This section contains definition of common data science terms. ● Applied Project: This section contains an activity that applies the concepts of the chapter in real-life. ● Digital Solutions DESCRIPTION “Touchpad” Data Science book is designed as per the latest CBSE curriculum with an inter-disciplinary approach towards Mathematics, Statistics and Information Technology. The book inculcates real-life scenarios to explain the concepts and helps the students become better Data Science literates and pursue future endeavours confidently. To enrich the subject, this book contains different types of exercises like Objective Type Questions, Standard Questions and Higher Order Thinking Skills (HOTS). This book also includes Do You Know? and Activity which helps the students to learn and think outside the box. It helps the students to think and not just memorize, at the same time improving their cognitive ability. WHAT WILL YOU LEARN You will learn about: ● Data ● Data Science ● Data Visualisation ● Data Science and Artificial Intelligence WHO THIS BOOK IS FOR Grade - 8 TABLE OF CONTENTS 1. Introduction to Data 2. Introduction to Data Science 3. Data Visualisation 4. Data Science and Artificial Intelligence 5. Projects 6. Glossary

Data Science For Cyber-security

Author : Adams Niall M
Publisher : World Scientific
ISBN 13 : 178634565X
Total Pages : 304 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis Data Science For Cyber-security by : Adams Niall M

Download or read book Data Science For Cyber-security written by Adams Niall M and published by World Scientific. This book was released on 2018-09-25 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cyber-security is a matter of rapidly growing importance in industry and government. This book provides insight into a range of data science techniques for addressing these pressing concerns.The application of statistical and broader data science techniques provides an exciting growth area in the design of cyber defences. Networks of connected devices, such as enterprise computer networks or the wider so-called Internet of Things, are all vulnerable to misuse and attack, and data science methods offer the promise to detect such behaviours from the vast collections of cyber traffic data sources that can be obtained. In many cases, this is achieved through anomaly detection of unusual behaviour against understood statistical models of normality.This volume presents contributed papers from an international conference of the same name held at Imperial College. Experts from the field have provided their latest discoveries and review state of the art technologies.

Data Science and Big Data: An Environment of Computational Intelligence

Author : Witold Pedrycz
Publisher : Springer
ISBN 13 : 3319534742
Total Pages : 303 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Data Science and Big Data: An Environment of Computational Intelligence by : Witold Pedrycz

Download or read book Data Science and Big Data: An Environment of Computational Intelligence written by Witold Pedrycz and published by Springer. This book was released on 2017-03-21 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today’s knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.

R for Political Data Science

Author : Francisco Urdinez
Publisher : CRC Press
ISBN 13 : 1000204510
Total Pages : 469 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis R for Political Data Science by : Francisco Urdinez

Download or read book R for Political Data Science written by Francisco Urdinez and published by CRC Press. This book was released on 2020-11-18 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in their work. The book has 16 chapters and is organized in three sections. The first, on the use of R, is for those users who are learning R or are migrating from another software. The second section, on econometric models, covers OLS, binary and survival models, panel data, and causal inference. The third section is a data science toolbox of some the most useful tools in the discipline: data imputation, fuzzy merge of large datasets, web mining, quantitative text analysis, network analysis, mapping, spatial cluster analysis, and principal component analysis. Key features: Each chapter has the most up-to-date and simple option available for each task, assuming minimal prerequisites and no previous experience in R Makes extensive use of the Tidyverse, the group of packages that has revolutionized the use of R Provides a step-by-step guide that you can replicate using your own data Includes exercises in every chapter for course use or self-study Focuses on practical-based approaches to statistical inference rather than mathematical formulae Supplemented by an R package, including all data As the title suggests, this book is highly applied in nature, and is designed as a toolbox for the reader. It can be used in methods and data science courses, at both the undergraduate and graduate levels. It will be equally useful for a university student pursuing a PhD, political consultants, or a public official, all of whom need to transform their datasets into substantive and easily interpretable conclusions.

SKILLFUL MINDS CBSE AI, Coding and Robotics Class 8 Computer Textbook with Fundamentals of Computer | Practical Lab Activities | PictoBlox Jr. Blocks Based of Scratch | Covers Basics of Computer, MS Paint, Algorithmic Thinking

Download SKILLFUL MINDS CBSE AI, Coding and Robotics Class 8 Computer Textbook with Fundamentals of Computer | Practical Lab Activities | PictoBlox Jr. Blocks Based of Scratch | Covers Basics of Computer, MS Paint, Algorithmic Thinking PDF Online Free

Author : Pankaj Kumar Verma
Publisher : STEMpedia
ISBN 13 : 8196940246
Total Pages : 100 pages
Book Rating : 4.1/5 (969 download)

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Book Synopsis SKILLFUL MINDS CBSE AI, Coding and Robotics Class 8 Computer Textbook with Fundamentals of Computer | Practical Lab Activities | PictoBlox Jr. Blocks Based of Scratch | Covers Basics of Computer, MS Paint, Algorithmic Thinking by : Pankaj Kumar Verma

Download or read book SKILLFUL MINDS CBSE AI, Coding and Robotics Class 8 Computer Textbook with Fundamentals of Computer | Practical Lab Activities | PictoBlox Jr. Blocks Based of Scratch | Covers Basics of Computer, MS Paint, Algorithmic Thinking written by Pankaj Kumar Verma and published by STEMpedia. This book was released on 2022-12-12 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Skillful Minds Class 8 textbook is part of an educational series for CBSE students. This computer book for Class 1 students aims to introduce them to AI, coding, and robotics education. Students will learn the fundamental concepts of computers, MS Office, algorithmic thinking, and other 21st Century Skills. The course content is tailored to be engaging and accessible for kids, with practical lab activities and interactive learning methods. The coding book for class 1 utilizes PictoBlox Jr. blocks to make learning coding fun and intuitive. The book aligns with modern CBSE educational standards and seeks to foster creativity, logical thinking, and a foundational understanding of emerging technologies from an early age. Table of Contents 1. Know Your Computer: Fundamentals of Computer, Computer Lab Rules, Lab activities focused on computer parts, typing, and mouse usage. 2. Fun with Paint: MS Paint, Lab activities for drawing objects and symbols using MS Paint 3. Algorithmic Thinking: Introduction to algorithms, Recognizing patterns and loops in computational thinking. 4. Into the World of Coding: Coding with PictoBlox Jr. blocks, coding terminologies and functions, Lab activities, including coding exercises and sprite manipulation. 5. Into the Robotics: Learn about robots and their capabilities, Introduction to Quarky and its functionalities, Lab activities for experiencing Quarky's features and programming. 6. Into the AI: Exploring the concept of intelligence in technology, Introduction to facial detection technology, Lab activity to create a project using AI features.

Data Science

Author : Qurban A Memon
Publisher : CRC Press
ISBN 13 : 0429558821
Total Pages : 403 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Data Science by : Qurban A Memon

Download or read book Data Science written by Qurban A Memon and published by CRC Press. This book was released on 2019-09-26 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel research work on challenging topics in the area surrounding data science. In this book, some of the chapters are written in tutorial style concerning machine learning algorithms, data analysis, information design, infographics, relevant applications, etc. The book is structured as follows: • Part I: Data Science: Theory, Concepts, and Algorithms This part comprises five chapters on data Science theory, concepts, techniques and algorithms. • Part II: Data Design and Analysis This part comprises five chapters on data design and analysis. • Part III: Applications and New Trends in Data Science This part comprises four chapters on applications and new trends in data science.

Data Science

Author : Zhiwen Yu
Publisher : Springer Nature
ISBN 13 : 9819959713
Total Pages : 475 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Data Science by : Zhiwen Yu

Download or read book Data Science written by Zhiwen Yu and published by Springer Nature. This book was released on 2023-09-14 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 1879 and 1880) constitutes the refereed proceedings of the 9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023 held in Harbin, China, during September 22–24, 2023. The 52 full papers and 14 short papers presented in these two volumes were carefully reviewed and selected from 244 submissions. The papers are organized in the following topical sections: Part I: Applications of Data Science, Big Data Management and Applications, Big Data Mining and Knowledge Management, Data Visualization, Data-driven Security, Infrastructure for Data Science, Machine Learning for Data Science and Multimedia Data Management and Analysis. Part II: Data-driven Healthcare, Data-driven Smart City/Planet, Social Media and Recommendation Systems and Education using big data, intelligent computing or data mining, etc.

Introduction to Data Science

Author : Rafael A. Irizarry
Publisher : CRC Press
ISBN 13 : 1000708039
Total Pages : 794 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Introduction to Data Science by : Rafael A. Irizarry

Download or read book Introduction to Data Science written by Rafael A. Irizarry and published by CRC Press. This book was released on 2019-11-20 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.

Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

Author : Yuxiao Dong
Publisher : Springer Nature
ISBN 13 : 3030865177
Total Pages : 542 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track by : Yuxiao Dong

Download or read book Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track written by Yuxiao Dong and published by Springer Nature. This book was released on 2021-09-09 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions. The volumes are organized in topical sections as follows: Research Track: Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications. Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety. Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics. Applied Data Science Track: Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation. Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.

Trackpad Ver. 2.0 Class 8

Author : Nidhi Arora
Publisher : Orange Education Pvt Ltd
ISBN 13 : 9391246605
Total Pages : 321 pages
Book Rating : 4.3/5 (912 download)

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Book Synopsis Trackpad Ver. 2.0 Class 8 by : Nidhi Arora

Download or read book Trackpad Ver. 2.0 Class 8 written by Nidhi Arora and published by Orange Education Pvt Ltd. This book was released on 2022-05-18 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Science Textbook Designed for Joyful Learning KEY FEATURES ? National Education Policy 2020 ? Find on Google: This section asks a quick question from the present world. ? Pure Fact: This presents a 100% pure fact with a numerical data. ? Video Based Question: This is an interactive question to be attempted after watching a small video accessible on the QR Code. ? Coding Zone: This presents a quick insight into coding concepts. ? Career Here: This section indicates the possible career aspects on pursuing similar topics. DESCRIPTION Trackpad, a computer book series for grades I to VIII, is designed to build a strong foundation for students about to enter the fascinating world of computer technology. With Trackpad, the process of discovery is bound to be equally enjoyable and educational, as the series is written in a friendly and engaging style, which will spark the interest of students of all skill sets. Based on Windows 10 and Microsoft Office 2016, this series has all that is required to ensure that the students understand and retain what they have read. The books ensure up-to-date coverage of contemporary computer concepts and most widely used software packages. Though comprehensive in scope, each topic presents practical, day-to-day applications of computer in a friendly manner. The series begin to explore the subject of Artificial Intelligence from grade III itself and each grade has four Periodic Assessments & two Test Sheets for evaluation of students' learning. Grade I and II books have four-line writing space each to inculcate the love for writing and enhance writing skills in children. WHAT WILL YOU LEARN You will learn about: ? Fundamentals of computer ? ICT Tools ? Computational Thinking ? Coding and Artificial Intelligence ? HTML5 ? AI Domains ? SDG ? Python ? Data Science ? Makecode Advanced Blocks ? Cloud Computing ? Photoshop CC ? Networking Concepts WHO THIS BOOK IS FOR Grade - 8 TABLE OF CONTENTS 1. Networking Concepts 2. Introduction to Photoshop 2021 3. More on Photoshop 2021 4. Dynamic Web Pages in HTML5 5. Latest IT Trends 6. Cloud Computing 7. Control Structures in Python 8. Functions, String and List in Python 9. Arificial Intelligence and its Domains 10. Fields of Artificial Intelligence 11. Introduction to SDGs and Data Science 12. Techipedia 13. Project 14. OGO Cyber Sample Questions

Trackpad Ver. 1.0 Class 8

Author : Nidhi Arora
Publisher : Orange Education Pvt Ltd
ISBN 13 : 9391246761
Total Pages : 323 pages
Book Rating : 4.3/5 (912 download)

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Book Synopsis Trackpad Ver. 1.0 Class 8 by : Nidhi Arora

Download or read book Trackpad Ver. 1.0 Class 8 written by Nidhi Arora and published by Orange Education Pvt Ltd. This book was released on 2021-09-01 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Science Textbook Designed for Joyful Learning KEY FEATURES ? National Education Policy 2020 ? Find on Google: This section asks a quick question from the present world. ? Pure Fact: This presents a 100% pure fact with a numerical data. ? Video Based Question: This is an interactive question to be attempted after watching a small video accessible on the QR Code. ? Coding Zone: This presents a quick insight into coding concepts. DESCRIPTION Trackpad, a computer book series for grades I to VIII, is designed to build a strong foundation for students about to enter the fascinating world of computer technology. With Trackpad, the process of discovery is bound to be equally enjoyable and educational, as the series is written in a friendly and engaging style, which will spark the interest of students of all skill sets. Based on Windows 7 and Microsoft Office 2010, this series has all that is required to ensure that the students understand and retain what they have read. The books ensure up-to-date coverage of contemporary computer concepts and most widely used software packages. Though comprehensive in scope, each topic presents practical, day-to-day applications of computer in a friendly manner. The series begin to explore the subject of Artificial Intelligence from grade III itself and each grade has four Periodic Assessments & two Test Sheets for evaluation of students' learning. Grade I and II books have four-line writing space each to inculcate the love for writing and enhance writing skills in children. WHAT WILL YOU LEARN You will learn about: ? Fundamentals of computer ? ICT Tools ? Computational Thinking ? Coding and Artificial Intelligence ? HTML5 ? AI Domains ? SDG ? Python ? Data Science ? Makecode Advanced Blocks ? Cloud Computing ? Photoshop CC ? Networking Concepts WHO THIS BOOK IS FOR Grade-8 TABLE OF CONTENTS 1. Networking Concepts 2. Introduction to Photoshop CC 3. More on Photoshop CC 4. Dynamic Web Pages in HTML5 5. Latest IT Trends 6. Cloud Computing 7. Control Structures in Python 8. Functions, String and List in Python 9. Artificial Intelligence and its Domains 10. Fields of Artificial Intelligence 11. Introduction to SDGs and Data Science 12. Techipedia (Advanced Blocks of Makecode) 13. Project 14. OGO Cyber Sample Questions

Trackpad Pro Ver. 5.0 Class 8

Author : Nidhi Arora
Publisher : Orange Education Pvt Ltd
ISBN 13 : 9395141174
Total Pages : 334 pages
Book Rating : 4.3/5 (951 download)

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Book Synopsis Trackpad Pro Ver. 5.0 Class 8 by : Nidhi Arora

Download or read book Trackpad Pro Ver. 5.0 Class 8 written by Nidhi Arora and published by Orange Education Pvt Ltd. This book was released on 2023-02-16 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Science Textbook Designed for Joyful Learning KEY FEATURES ● National Education Policy 2020 ● Find on Google: This section asks a quick question from the present world. ● Pure Fact: This presents a 100% pure fact with a numerical data. ● Video Based Question: This is an interactive question to be attempted after watching a small video accessible on the QR Code. ● Coding Zone: This presents a quick insight into coding concepts. ● Career Here: This section indicates the possible career aspects on pursuing similar topics. DESCRIPTION Computers, owing to their extensive usefulness and versatility, continue to pave their path into every business, industry and research activity today. Be it entertainment, education, problem-solving, research and decision-making, or home and personal management, data banks, communication and message services, etc., they have become literally indispensable in our daily operations. This makes thorough education on the subject of computers essential across the world. Trackpad PRO Version 5.0, a computer book series for grades I to VIII, is designed to build a strong foundation for students about to enter the fascinating world of computer technology. With Trackpad, the process of discovery is bound to be equally enjoyable and educational, as the series is written in a friendly and engaging style, which will spark the interest of students of all skill sets. Based on Windows 11 and Microsoft Office 2021, this series has all that is required to ensure that the students understand and retain what they have read. The books ensure up-to-date coverage of contemporary computer concepts and most widely used software packages. The series begin to explore the subject of Artificial Intelligence from grade III itself and each grade has four Periodic Assessments & two Test Sheets for evaluation of students’ learning. Grade I and II books have four-line writing space each to inculcate the love for writing and enhance writing skills in children. I would like to gratefully acknowledge the support provided by my family and friends.I sincerely trust that this book will assist the students in their growth and learning. Wish you a happy and fruitful learning! WHAT WILL YOU LEARN You will learn about: ● Critical Thinking ● Creativity ● Communication ● Collaboration, Information Literacy ● Leadership & Responsibility ● Social Interaction, Productivity & Accountability Social Interaction WHO THIS BOOK IS FOR Grade 8

Soft Computing in Data Science

Author : Michael W. Berry
Publisher : Springer
ISBN 13 : 9812879366
Total Pages : 276 pages
Book Rating : 4.8/5 (128 download)

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Book Synopsis Soft Computing in Data Science by : Michael W. Berry

Download or read book Soft Computing in Data Science written by Michael W. Berry and published by Springer. This book was released on 2015-09-02 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Conference on Soft Computing in Data Science, SCDS 2015, held in Putrajaya, Malaysia, in September 2015. The 25 revised full papers presented were carefully reviewed and selected from 69 submissions. The papers are organized in topical sections on data mining; fuzzy computing; evolutionary computing and optimization; pattern recognition; human machine interface; hybrid methods.

A Tour of Data Science

Author : Nailong Zhang
Publisher : CRC Press
ISBN 13 : 100021527X
Total Pages : 250 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis A Tour of Data Science by : Nailong Zhang

Download or read book A Tour of Data Science written by Nailong Zhang and published by CRC Press. This book was released on 2020-11-11 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source. Key features: Allows you to learn R and Python in parallel Cover statistics, programming, optimization and predictive modelling, and the popular data manipulation tools – data.table and pandas Provides a concise and accessible presentation Includes machine learning algorithms implemented from scratch, linear regression, lasso, ridge, logistic regression, gradient boosting trees, etc. Appealing to data scientists, statisticians, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.

The The Data Science Workshop

Author : Anthony So
Publisher : Packt Publishing Ltd
ISBN 13 : 1800569408
Total Pages : 823 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis The The Data Science Workshop by : Anthony So

Download or read book The The Data Science Workshop written by Anthony So and published by Packt Publishing Ltd. This book was released on 2020-08-28 with total page 823 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain expert guidance on how to successfully develop machine learning models in Python and build your own unique data platforms Key FeaturesGain a full understanding of the model production and deployment processBuild your first machine learning model in just five minutes and get a hands-on machine learning experienceUnderstand how to deal with common challenges in data science projectsBook 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 learnExplore the key differences between supervised learning and unsupervised learningManipulate and analyze data using scikit-learn and pandas librariesUnderstand key concepts such as regression, classification, and clusteringDiscover advanced techniques to improve the accuracy of your modelUnderstand how to speed up the process of adding new featuresSimplify your machine learning workflow for productionWho 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.

Data Science

Author : Jianchao Zeng
Publisher : Springer Nature
ISBN 13 : 9811579814
Total Pages : 738 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Data Science by : Jianchao Zeng

Download or read book Data Science written by Jianchao Zeng and published by Springer Nature. This book was released on 2020-08-20 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set (CCIS 1257 and 1258) constitutes the refereed proceedings of the 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020 held in Taiyuan, China, in September 2020. The 98 papers presented in these two volumes were carefully reviewed and selected from 392 submissions. The papers are organized in topical sections: database, machine learning, network, graphic images, system, natural language processing, security, algorithm, application, and education. The chapter “Highly Parallel SPARQL Engine for RDF” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Proceedings of International Conference on Data Science and Applications

Author : Kanad Ray
Publisher : Springer Nature
ISBN 13 : 9811575614
Total Pages : 314 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Proceedings of International Conference on Data Science and Applications by : Kanad Ray

Download or read book Proceedings of International Conference on Data Science and Applications written by Kanad Ray and published by Springer Nature. This book was released on 2020-10-29 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2019), held at Kautilya Institute of Technology and Engineering, Jaipur, Rajasthan, India, from 2 to 3 December 2019. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, creative computing, etc.