Data Science Class 8

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Data Science Class 8

VK Jain
Data Science Class 8 Book PDF

Author : VK Jain
Publisher : Orange Education Pvt Ltd
Page : 482 pages
File Size : 42,8 Mb
Release : 2021-10-11
Category : Computers
ISBN : 9789391246365

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Data Science Class 8 by VK Jain Pdf

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

R for Data Science

Hadley Wickham,Garrett Grolemund
R for Data Science Book PDF

Author : Hadley Wickham,Garrett Grolemund
Publisher : "O'Reilly Media, Inc."
Page : 521 pages
File Size : 44,9 Mb
Release : 2016-12-12
Category : Computers
ISBN : 9781491910368

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R for Data Science by Hadley Wickham,Garrett Grolemund Pdf

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Introduction to Data Science

Rafael A. Irizarry
Introduction to Data Science Book PDF

Author : Rafael A. Irizarry
Publisher : CRC Press
Page : 794 pages
File Size : 50,6 Mb
Release : 2019-11-20
Category : Mathematics
ISBN : 9781000708035

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Introduction to Data Science by Rafael A. Irizarry Pdf

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.

Data Science For Cyber-security

Adams Niall M,Heard Nicholas A,Rubin-delanchy Patrick
Data Science For Cyber security Book PDF

Author : Adams Niall M,Heard Nicholas A,Rubin-delanchy Patrick
Publisher : World Scientific
Page : 304 pages
File Size : 51,5 Mb
Release : 2018-09-25
Category : Computers
ISBN : 9781786345653

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Data Science For Cyber-security by Adams Niall M,Heard Nicholas A,Rubin-delanchy Patrick Pdf

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 Class 9

Shalini Harisukh,Anjna Virmani,VK Jain
Data Science Class 9 Book PDF

Author : Shalini Harisukh,Anjna Virmani,VK Jain
Publisher : Orange Education Pvt Ltd
Page : 482 pages
File Size : 51,5 Mb
Release : 2021-10-11
Category : Computers
ISBN : 9789391246372

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Data Science Class 9 by Shalini Harisukh,Anjna Virmani,VK Jain Pdf

Data Science is a multidisciplinary field that also interacts with various other technologies like Artificial Intelligence, Machine Learning, Deep Learning, 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: ● Communication Skills ● Self Management Skills ● ICT Skills ● Entrepreneurial Skills ● Green Skills ● Data ● Data Science ● Data Science Ethics ● Data Visualisation WHO THIS BOOK IS FOR Grade 9 TABLE OF CONTENTS 1. Part-A Employability Skills (a) Unit-1 Communication Skills-I (b) Unit-2 Self-Management Skills-I (c) Unit-3 ICT Skills-I (d) Unit-4 Entrepreneurial Skills-I (e) Unit-5 Green Skills-I 2. Part-B Subject Specific Skills (a) Unit-1 Introduction (b) Unit-2 Arranging and Collecting Data (c) Unit-3 Data Visualizations (d) Unit-4 Ethics in Data Science 3. Projects 4. Glossary 5. Model Test Paper

Data Science

Qurban A Memon,Shakeel Ahmed Khoja
Data Science Book PDF

Author : Qurban A Memon,Shakeel Ahmed Khoja
Publisher : CRC Press
Page : 345 pages
File Size : 45,6 Mb
Release : 2019-09-26
Category : Computers
ISBN : 9780429554353

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Data Science by Qurban A Memon,Shakeel Ahmed Khoja Pdf

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 and Big Data: An Environment of Computational Intelligence

Witold Pedrycz,Shyi-Ming Chen
Data Science and Big Data An Environment of Computational Intelligence Book PDF

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer
Page : 303 pages
File Size : 53,7 Mb
Release : 2017-03-21
Category : Technology & Engineering
ISBN : 9783319534749

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Data Science and Big Data: An Environment of Computational Intelligence by Witold Pedrycz,Shyi-Ming Chen Pdf

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

Francisco Urdinez,Andres Cruz
R for Political Data Science Book PDF

Author : Francisco Urdinez,Andres Cruz
Publisher : CRC Press
Page : 469 pages
File Size : 48,8 Mb
Release : 2020-11-18
Category : Political Science
ISBN : 9781000204513

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R for Political Data Science by Francisco Urdinez,Andres Cruz Pdf

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.

Data Science

Zhiwen Yu,Qilong Han,Hongzhi Wang,Bin Guo,Xiaokang Zhou,Xianhua Song,Zeguang Lu
Data Science Book PDF

Author : Zhiwen Yu,Qilong Han,Hongzhi Wang,Bin Guo,Xiaokang Zhou,Xianhua Song,Zeguang Lu
Publisher : Springer Nature
Page : 475 pages
File Size : 41,6 Mb
Release : 2023-09-14
Category : Computers
ISBN : 9789819959716

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Data Science by Zhiwen Yu,Qilong Han,Hongzhi Wang,Bin Guo,Xiaokang Zhou,Xianhua Song,Zeguang Lu Pdf

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.

The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry

Stephanie K. Ashenden
The Era of Artificial Intelligence Machine Learning and Data Science in the Pharmaceutical Industry Book PDF

Author : Stephanie K. Ashenden
Publisher : Academic Press
Page : 266 pages
File Size : 53,7 Mb
Release : 2021-04-23
Category : Computers
ISBN : 9780128204498

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The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry by Stephanie K. Ashenden Pdf

The Era of Artificial Intelligence, Machine Learning and Data Science in the Pharmaceutical Industry examines the drug discovery process, assessing how new technologies have improved effectiveness. Artificial intelligence and machine learning are considered the future for a wide range of disciplines and industries, including the pharmaceutical industry. In an environment where producing a single approved drug costs millions and takes many years of rigorous testing prior to its approval, reducing costs and time is of high interest. This book follows the journey that a drug company takes when producing a therapeutic, from the very beginning to ultimately benefitting a patient’s life. This comprehensive resource will be useful to those working in the pharmaceutical industry, but will also be of interest to anyone doing research in chemical biology, computational chemistry, medicinal chemistry and bioinformatics. Demonstrates how the prediction of toxic effects is performed, how to reduce costs in testing compounds, and its use in animal research Written by the industrial teams who are conducting the work, showcasing how the technology has improved and where it should be further improved Targets materials for a better understanding of techniques from different disciplines, thus creating a complete guide

Trackpad Ver. 1.0 Class 8

Nidhi Arora
Trackpad Ver 1 0 Class 8 Book PDF

Author : Nidhi Arora
Publisher : Orange Education Pvt Ltd
Page : 323 pages
File Size : 41,6 Mb
Release : 2021-09-01
Category : Computers
ISBN : 9789391246761

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Trackpad Ver. 1.0 Class 8 by Nidhi Arora Pdf

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

Nidhi Arora
Trackpad Pro Ver 5 0 Class 8 Book PDF

Author : Nidhi Arora
Publisher : Orange Education Pvt Ltd
Page : 334 pages
File Size : 51,8 Mb
Release : 2023-02-16
Category : Computers
ISBN : 9789395141178

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Trackpad Pro Ver. 5.0 Class 8 by Nidhi Arora Pdf

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

The Data Science Handbook

Field Cady
The Data Science Handbook Book PDF

Author : Field Cady
Publisher : John Wiley & Sons
Page : 420 pages
File Size : 43,7 Mb
Release : 2017-02-28
Category : Mathematics
ISBN : 9781119092940

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The Data Science Handbook by Field Cady Pdf

A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. Unlike many analytics books, computer science and software engineering are given extensive coverage since they play such a central role in the daily work of a data scientist. The author also describes classic machine learning algorithms, from their mathematical foundations to real-world applications. Visualization tools are reviewed, and their central importance in data science is highlighted. Classical statistics is addressed to help readers think critically about the interpretation of data and its common pitfalls. The clear communication of technical results, which is perhaps the most undertrained of data science skills, is given its own chapter, and all topics are explained in the context of solving real-world data problems. The book also features: • Extensive sample code and tutorials using Python™ along with its technical libraries • Core technologies of “Big Data,” including their strengths and limitations and how they can be used to solve real-world problems • Coverage of the practical realities of the tools, keeping theory to a minimum; however, when theory is presented, it is done in an intuitive way to encourage critical thinking and creativity • A wide variety of case studies from industry • Practical advice on the realities of being a data scientist today, including the overall workflow, where time is spent, the types of datasets worked on, and the skill sets needed The Data Science Handbook is an ideal resource for data analysis methodology and big data software tools. The book is appropriate for people who want to practice data science, but lack the required skill sets. This includes software professionals who need to better understand analytics and statisticians who need to understand software. Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set. FIELD CADY is the data scientist at the Allen Institute for Artificial Intelligence, where he develops tools that use machine learning to mine scientific literature. He has also worked at Google and several Big Data startups. He has a BS in physics and math from Stanford University, and an MS in computer science from Carnegie Mellon.

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

Yuxiao Dong,Nicolas Kourtellis,Barbara Hammer,Jose A. Lozano
Machine Learning and Knowledge Discovery in Databases Applied Data Science Track Book PDF

Author : Yuxiao Dong,Nicolas Kourtellis,Barbara Hammer,Jose A. Lozano
Publisher : Springer Nature
Page : 542 pages
File Size : 53,6 Mb
Release : 2021-09-09
Category : Computers
ISBN : 9783030865177

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Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track by Yuxiao Dong,Nicolas Kourtellis,Barbara Hammer,Jose A. Lozano Pdf

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.

A Tour of Data Science

Nailong Zhang
A Tour of Data Science Book PDF

Author : Nailong Zhang
Publisher : CRC Press
Page : 217 pages
File Size : 52,6 Mb
Release : 2020-11-11
Category : Computers
ISBN : 9781000215199

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A Tour of Data Science by Nailong Zhang Pdf

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.