Tag: Scientists

Coursera – Databases for Data Scientists Specialization


Last updated 10/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 65 Lessons ( 15h 8m ) | Size: 2.8 GB
All about Databases for Data Scientists. Learn to design and create efficient and effective relational databases, fill them with data, and work with them using SQL
Free Download What you’ll learn

(more…)

Essentials of Statistics for Scientists and Technologists


Free Download Essentials of Statistics for Scientists and Technologists by C. Mack
English | PDF | 1966 | 180 Pages | ISBN : 1461586178 | 14.3 MB
Statistics is of ever-increasing importance in Science and Technology and this book presents the essentials of the subject in a form suitable either as the basis of a course of lectures or to be read and/or used on its own. It assumes very little in the way of mathematical knowledge-just the ability to substitute numerically in a few simple formulae. However, some mathematical proofs are outlined or given in full to illustrate the derivation of the subject; these can be omitted without loss of understanding. The book does aim at making clear the scope and nature of those essential tests and methods that a scientist or technologist is likely to need; to this end each chapter has been divided into sections with their own subheadings and some effort has been made to make the text unambiguous (if any reader finds a misleading point anywhere I hope he will write to me about it). Also with this aim in view, the equality of probability to proportion of population is stated early, then the normal distribution and the taking of samples is discussed. This occupies the first five chapters. With the principles of these chapters understood, the student can immediately learn the significance tests of Chapter 6 and, if he needs it, the analysis of variance of Chapter 7. For some scientists this will be most of what they need. However, they will be in a position to read and/or use the remaining chapters without undue difficulty.

(more…)

Uncharted How Scientists Navigate Their Own Health, Research, and Experiences of Bias


Free Download Uncharted
by Bayer, Skylar;Marks, Gabriela Serrato;

English | 2023 | ISBN: 0231203624 | 328 pages | True PDF | 6.35 MB
People with disabilities are underrepresented in STEM fields, and all too often, they face isolation and ableism in academia. Uncharted is a collection of powerful first-person stories by current and former scientists with disabilities or chronic conditions who have faced changes in their careers, including both successes and challenges, because of their health. It gives voice to common experiences that are frequently overlooked or left unspoken. These deeply personal accounts describe not only health challenges but also the joys, sorrows, humor, and wonder of science and scientists.

(more…)

Resolving the Cholesterol Controversy The Scientists Who Proved the Lipid Hypothesis of Causation of Atherosclerosis


Free Download Resolving The Cholesterol Controversy: The Scientists Who Proved the Lipid Hypothesis of Causation of Atherosclerosis and Coronary Heart Disease (246 Pages)
by Gilbert R. Thompson

English | 2023 | ISBN: 1800613970 | 247 pages | True PDF | 60.67 MB
Resolving the Cholesterol Controversy recounts the science and scientific personalities behind the chain of discoveries upon which the lipid hypothesis of atherosclerosis was built. The narrative covers a period of just under 100 years, starting with Anitschkow’s experiments with cholesterol-fed rabbits in 1913, and recounts the endeavours and achievements of the leading actors in this protracted scientific drama. The cast is drawn from an extraordinary variety of scientific disciplines: pathology, biophysics, epidemiology, nutrition, cardiology, lipidology, genetics, microbiology, pharmacology, and clinical trial design. Most of the scientists believed that cholesterol played a causal role in atherosclerosis and cardiovascular disease, but there were some who dissented strongly from this conclusion. The breadth of scientific disciplines involved in proving the lipid hypothesis is matched by the geographical spread of the participants. Anitschkow worked in Russia, Endo discovered the first statin in Japan, their commercial development by Merck took place in the USA and evidence of benefit from lowering cholesterol came from trials conducted in Scandinavia and the UK. The subsequent meta-analysis of these statin trials in 2005 proved the validity of the lipid hypothesis beyond any doubt. The history of how this all came about and its impact upon health policy and medical practice is recalled here in Resolving the Cholesterol Controversy.

(more…)

Machine Learning Toolbox for Social Scientists Applied Predictive Analytics with R


Free Download Machine Learning Toolbox for Social Scientists
by Aydede, Yigit;

English | 2024 | ISBN: 1032463953 | 601 pages | True PDF EPUB | 38.87 MB
Machine Learning Toolbox for Social Scientists covers predictive methods with complementary statistical "tools" that make it mostly self-contained. The inferential statistics is the traditional framework for most data analytics courses in social science and business fields, especially in Economics and Finance. The new organization that this book offers goes beyond standard machine learning code applications, providing intuitive backgrounds for new predictive methods that social science and business students can follow. The book also adds many other modern statistical tools complementary to predictive methods that cannot be easily found in "econometrics" textbooks: nonparametric methods, data exploration with predictive models, penalized regressions, model selection with sparsity, dimension reduction methods, nonparametric time-series predictions, graphical network analysis, algorithmic optimization methods, classification with imbalanced data, and many others. This book is targeted at students and researchers who have no advanced statistical background, but instead coming from the tradition of "inferential statistics". The modern statistical methods the book provides allows it to be effectively used in teaching in the social science and business fields.

(more…)

Coursera – MATLAB Programming for Engineers and Scientists Specialization


Free Download Coursera – MATLAB Programming for Engineers and Scientists Specialization
Last updated 8/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 90 Lessons (40h) | Size: 4 GB
This beginner program provides comprehensive guidance on computer programming and MATLAB language, highlighting MATLAB’s unique features that cater to engineering and scientific computing. You will learn everything from fundamental programming concepts, advanced techniques like Object-Oriented Programming, data, and image analysis, data visualization, and machine learning applications.

(more…)

Student Workbook for Physics for Scientists and Engineers A Strategic Approach with Modern Physics


Free Download Student Workbook for Physics for Scientists and Engineers: A Strategic Approach with Modern Physics By Knight, Randall D
2013 | 432 Pages | ISBN: 1292040491 | PDF | 21 MB
These popular and proven workbooks help students build confidence before attempting end-of-chapter problems. They provide short exercises that focus on developing a particular skill, mostly requiring students to draw or interpret sketches and graphs. New to the Third Edition are exercises that provide guided practice for the textbook’s Problem-Solving Strategies, focusing in particular on working symbolically.

(more…)

Python for Scientists (3rd Edition)


Free Download Python for Scientists
English | 2023 | ISBN: 1009014803 | 301 Pages | PDF | 5 MB
The third edition of this practical introduction to Python has been thoroughly updated, with all code migrated to Jupyter notebooks. The notebooks are available online with executable versions of all of the book’s content (and more). The text starts with a detailed introduction to the basics of the Python language, without assuming any prior knowledge. Building upon each other, the most important Python packages for numerical math (NumPy), symbolic math (SymPy), and Descriptionting (MatDescriptionlib) are introduced, with brand new chapters covering numerical methods (SciPy) and data handling (Pandas). Further new material includes guidelines for writing efficient Python code and publishing code for other users. Simple and concise code examples, revised for compatibility with Python 3, guide the reader and support the learning process throughout the book. Readers from all of the quantitative sciences, whatever their background, will be able to quickly acquire the skills needed for using Python effectively.

(more…)