45 Essential Concepts In Data Science In 7 Minutes Each

DOWNLOAD

Download 45 Essential Concepts In Data Science In 7 Minutes Each PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get 45 Essential Concepts In Data Science In 7 Minutes Each 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

45 Essential Concepts In Data Science In 7 Minutes Each

DOWNLOAD
Author : Nietsnie Trebla
language : en
Publisher: Shelf Indulgence
Release Date :

45 Essential Concepts In Data Science In 7 Minutes Each written by Nietsnie Trebla and has been published by Shelf Indulgence this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

### Book Description: '45 Essential Concepts in Data Science in 7 Minutes Each' Unlock the world of data science with *45 Essential Concepts in Data Science in 7 Minutes Each*, an engaging and insightful guide designed for professionals and enthusiasts alike. This book offers succinct overviews of key topics that shape the data science landscape, allowing readers to grasp fundamental concepts quickly and effectively. #### Why This Book? In today's fast-paced environment, understanding data science is essential, but time is often limited. Each chapter is crafted to be read in just seven minutes, making it the perfect resource for busy individuals seeking to enhance their knowledge without the overwhelm of lengthy texts. From foundational theories to cutting-edge techniques, this book covers a comprehensive range of topics that are pivotal for success in the data-driven world. #### What You'll Learn: - **Introduction to Data Science**: Discover the basics and the significance of data science in various industries. - **Data Types and Data Structures**: Understand how data is categorized and organized. - **Data Collection Methods**: Explore the different ways to gather data effectively. - **Data Cleaning and Preprocessing**: Learn the essential steps to prepare data for analysis. - **Exploratory Data Analysis (EDA)**: Uncover patterns and insights through initial investigations. - **Descriptive Statistics**: Get to know the tools for summarizing and describing data sets. - **Data Visualization Techniques**: Master the art of making data accessible and interpretable through visuals. - **Probability Basics & Statistical Inference**: Dive into the concepts that form the backbone of data analysis. - **Hypothesis Testing & Confidence Intervals**: Develop your skills in making data-driven decisions. - **Regression Analysis, Classification Techniques, and Clustering Methods**: Familiarize yourself with essential modeling techniques. - **Machine Learning Algorithms**: Gain insight into Decision Trees, Support Vector Machines, Neural Networks, and more. - **Natural Language Processing (NLP)**: Explore the intersection of language and data. - **Feature Engineering & Dimensionality Reduction**: Learn to enhance and streamline your datasets. - **Model Evaluation Metrics, Overfitting and Underfitting**: Understand how to measure the success of your models. - **Big Data Technologies & Distributed Computing**: Navigate the complexities of modern data environments. - **Data Ethics and Privacy**: Reflect on the moral responsibilities of data scientists in today's world. - **Deployment of Data Science Models & Data Pipelines**: Understand how to implement models in real-world settings. - **Cloud Computing in Data Science & Working with APIs**: Learn how the cloud empowers data science infrastructure. - **Data Governance & Interpretation**: Explore frameworks for maintaining data integrity and conveying results effectively. - **Industry Applications and Future Trends**: Gain insights into how data science is transforming various sectors. Each chapter concisely introduces you to the topic, breaking down complex concepts into digestible insights. Whether you are a student, a working professional, or just someone curious about the data science field, this book equips you with the essential knowledge to thrive in a data-centric world. ### Get ready to embark on your data journey and transform your understanding of data science in just seven minutes at a time!

Seven Essentials For Business Success

DOWNLOAD
Author : George Siedel
language : en
Publisher: Routledge
Release Date : 2021-08-08

Seven Essentials For Business Success written by George Siedel and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-08 with Business & Economics categories.

Successful leaders are great teachers, and successful teachers serve as models of leadership. This book enables both leaders and teachers to understand and use the best practices developed by award-winning professors, each of whom teaches one of the seven areas that are essential for business success. These professors candidly discuss their successes and failures in the classroom, the mentors who inspired them, how they developed their teaching methods, and their rigorous preparation for class. Through descriptions of the professors in action, readers will gain an insider’s perspective on their teaching skills, and witness how they teach the seven essentials for success in a variety of settings—MBA, Executive MBA, and executive education courses. The chapters also describe the daily lives (professional and personal) of the professors, and the impact they have beyond the classroom in improving organizations and society. If you are a leader or teacher—or if you are interested in the content of a business school education—this book provides an insider’s perspective on the best practices used by legendary professors when teaching the seven essentials that represent the core body of knowledge for business success.

Leveraging Data Science For Global Health

DOWNLOAD
Author : Leo Anthony Celi
language : en
Publisher: Springer Nature
Release Date : 2020-07-31

Leveraging Data Science For Global Health written by Leo Anthony Celi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-31 with Medical categories.

This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.

Proceedings Of International Conference On Data Science And Applications

DOWNLOAD
Author : Mukesh Saraswat
language : en
Publisher: Springer Nature
Release Date : 2023-02-06

Proceedings Of International Conference On Data Science And Applications written by Mukesh Saraswat and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-06 with Technology & Engineering categories.

This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. 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, and creative computing.

C

DOWNLOAD
Author : Saumyendra Sengupta
language : en
Publisher: Springer Science & Business Media
Release Date : 1994-03-11

C written by Saumyendra Sengupta and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-03-11 with Computers categories.

This book presents a broad coverage of fundamental and advanced concepts of data structure and algorithms. It provides readers with a modern synthesis of concepts with examples of practical applications. C++ is used throughout to illustrate the construction and use of abstract data types, and to demonstrate object-oriented implementations. Disk contains all the C++ codes from the book. 165 illus.

Visual Images In Science Education

DOWNLOAD
Author : Vasilia Christidou
language : en
Publisher: Frontiers Media SA
Release Date : 2023-05-03

Visual Images In Science Education written by Vasilia Christidou and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-03 with Medical categories.

Mineral Resource Estimation

DOWNLOAD
Author : Mario E. Rossi
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-21

Mineral Resource Estimation written by Mario E. Rossi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-21 with Science categories.

Mineral resource estimation has changed considerably in the past 25 years: geostatistical techniques have become commonplace and continue to evolve; computational horsepower has revolutionized all facets of numerical modeling; mining and processing operations are often larger; and uncertainty quantification is becoming standard practice. Recent books focus on historical methods or details of geostatistical theory. So there is a growing need to collect and synthesize the practice of modern mineral resource estimation into a book for undergraduate students, beginning graduate students, and young geologists and engineers. It is especially fruitful that this book is written by authors with years of relevant experience performing mineral resource estimation and with years of relevant teaching experience. This comprehensive textbook and reference fills this need.

Carolina Science And Math

DOWNLOAD
Author : Carolina Biological Supply Company
language : en
Publisher:
Release Date : 2003

Carolina Science And Math written by Carolina Biological Supply Company and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Biological apparatus and supplies categories.

Resources For Teaching Middle School Science

DOWNLOAD
Author : Smithsonian Institution
language : en
Publisher: National Academies Press
Release Date : 1998-03-30

Resources For Teaching Middle School Science written by Smithsonian Institution and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-03-30 with Education categories.

With age-appropriate, inquiry-centered curriculum materials and sound teaching practices, middle school science can capture the interest and energy of adolescent students and expand their understanding of the world around them. Resources for Teaching Middle School Science, developed by the National Science Resources Center (NSRC), is a valuable tool for identifying and selecting effective science curriculum materials that will engage students in grades 6 through 8. The volume describes more than 400 curriculum titles that are aligned with the National Science Education Standards. This completely new guide follows on the success of Resources for Teaching Elementary School Science, the first in the NSRC series of annotated guides to hands-on, inquiry-centered curriculum materials and other resources for science teachers. The curriculum materials in the new guide are grouped in five chapters by scientific areaâ€"Physical Science, Life Science, Environmental Science, Earth and Space Science, and Multidisciplinary and Applied Science. They are also grouped by typeâ€"core materials, supplementary units, and science activity books. Each annotation of curriculum material includes a recommended grade level, a description of the activities involved and of what students can be expected to learn, a list of accompanying materials, a reading level, and ordering information. The curriculum materials included in this book were selected by panels of teachers and scientists using evaluation criteria developed for the guide. The criteria reflect and incorporate goals and principles of the National Science Education Standards. The annotations designate the specific content standards on which these curriculum pieces focus. In addition to the curriculum chapters, the guide contains six chapters of diverse resources that are directly relevant to middle school science. Among these is a chapter on educational software and multimedia programs, chapters on books about science and teaching, directories and guides to science trade books, and periodicals for teachers and students. Another section features institutional resources. One chapter lists about 600 science centers, museums, and zoos where teachers can take middle school students for interactive science experiences. Another chapter describes nearly 140 professional associations and U.S. government agencies that offer resources and assistance. Authoritative, extensive, and thoroughly indexedâ€"and the only guide of its kindâ€"Resources for Teaching Middle School Science will be the most used book on the shelf for science teachers, school administrators, teacher trainers, science curriculum specialists, advocates of hands-on science teaching, and concerned parents.

The Era Of Artificial Intelligence Machine Learning And Data Science In The Pharmaceutical Industry

DOWNLOAD
Author : Stephanie K. Ashenden
language : en
Publisher: Academic Press
Release Date : 2021-04-23

The Era Of Artificial Intelligence Machine Learning And Data Science In The Pharmaceutical Industry written by Stephanie K. Ashenden and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-23 with Computers categories.

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