Credit Scoring, Data Mining, Predictive Analytics, Statistics, StatSoft Electronic Textbook "Thank you and thank you again for providing a complete, well-structured, and easy-to-understand online resource. Every other website or snobbish research paper has not deigned to explain things in words consisting of less than four syllables. I was tossed to and fro like a man holding on to a frail plank that he calls his determination until I came across your electronic textbook...You have cleared the air for me. You have enlightened. You have illuminated. — Mr. "As a professional medical statistician of some 40 years standing, I can unreservedly recommend this textbook as a resource for self-education, teaching and on-the-fly illustration of specific statistical methodology in one-to-one statistical consulting. — Mr. "Excellent book. — Dr. "Just wanted to congratulate whoever wrote the 'Experimental Design' page. — James A. Read More Testimonials >> StatSoft has freely provided the Electronic Statistics Textbook as a public service since 1995. Proper citation:
How Much CO2 Is Created By… Every action, every event, every person, everything emits a certain amount of carbon. This interactive visualization examines some of those scenarios. Play around to learn some interesting and surprising information about how much carbon is released during various activities. About this data The data leveraged in this application is derived from a number of sources, including: “How Bad Are Bananas?”, Agence France-Presse, Carbon Trust Report, comScore Inc., Google, Guardian, Heathrow Airport Limited, JP Morgan, Real Climate, The Independent, The New York Times, Times, United States Environmental Protection Agency, and University of Oxford Environmental Change Institute. Share Downloads Download the Application Design Partner David McCandless
aluMATTER | Aluminium | Recovery | Recovery: Overview The metal after cold working has raised its internal energy and is therefore in a metastable, high energy state. It will try and lower its internal energy. In most cases it needs some external agent to help it to lower its internal energy. Recovery is the earliest onset of re-arrangement of crystal defects in the cold worked microstructure at elevated temperature, where some restoration of the original structure and properties may occur through annihilation of point defects and dislocations and, spatial re-arrangement of dislocations. In the case of deformed metals, point defects and dislocations are created during deformation. In this module, we shall study in detail the microstructural changes that take place during recovery of Al alloys. Learning Outcomes for this Section After completing this section, you should be able to: Pre-Requisites Before starting, it is important that you are familiar with the following terms: climb; cross-slip; dislocation; glide;
Data Preprocessing Tools Advance Macintosh Data Recovery Software and macintosh file retrieval tool for deleted or formatted apple macintosh hard drives. Mac Recovery Software is the most advanced Mac File Recovery application that recovers data from formatted, deleted or corrupted Mac partitions or External mac hard drives. Best Mac Data Recovery Tools is risk-free mac data recovery utility that recovers all important data lost accidental format, virus, file/directory deletion, or even a sabotage. Software fixes damaged mac hard disk and restore mac files within minutes. Platform: Windows Publisher: macdatarecovery.net Date: Size: 1730 KB ADRC Data Recovery Tools v1.0 contains a collection of DIY data recovery tools that supports a wide variety of drives (fixed drives or removable drives) and file systems (FAT12, FAT16, FAT32 and NTFS) for Windows 95/ 98, Windows ME, Windows NT, Windows 2000, Windows XP and Windows 2003 server.The software incorporates extremely simple GUI with novice users in mind.
Weka 3 - Data Mining with Open Source Machine Learning Software in Java Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this. Weka is open source software issued under the GNU General Public License. We have put together several free online courses that teach machine learning and data mining using Weka. Weka supports deep learning!
Unit Operations in Food Processing - R. L. Earle This is the free web edition of a popular textbook known for its simple approach to the diversity and complexity of food processing. First published in 1966 but still relevant today, Unit Operations in Food Processing explains the principles of operations and illustrates them by individual processes. Each Chapter contains unworked examples to help the student food technologist or process engineer gain a grasp of the subject. Now in electronic form, fully searchable and cross-linked, this online resource will also be a useful quick reference for technical workers in the food industry. The author, Dick Earle (owner of the copyright) gives permission to download and print any part or all of the text for any nonprofit purposes. Content can be printed by individual page, or as complete Chapters. Funding, publication and hosting for the book is provided by the New Zealand Institute of Food Science & Technology (NZIFST).
OpenSolver for Excel Do Faster Data Manipulation using These 7 R Packages Introduction Data Manipulation is an inevitable phase of predictive modeling. A robust predictive model can’t be just be built using machine learning algorithms. But, with an approach to understand the business problem, the underlying data, performing required data manipulations and then extracting business insights. Among these several phases of model building, most of the time is usually spent in understanding underlying data and performing required manipulations. What is Data Manipulation ? If you are still confused with this ‘term’, let me explain it to you. Actually, the data collection process can have many loopholes. At times, this stage is also known as data wrangling or data cleaning. Different Ways to Manipulate / Treat Data: There is no right or wrong way in manipulating data, as long as you understand the data and have taken the necessary actions by the end of the exercise. Usually, beginners on R find themselves comfortable manipulating data using inbuilt base R functions. #or
TinkerPop Metallurgical Solutions Introduction to Principal Component Analysis (PCA) - Laura Diane Hamilton Principal Component Analysis (PCA) is a dimensionality-reduction technique that is often used to transform a high-dimensional dataset into a smaller-dimensional subspace prior to running a machine learning algorithm on the data. When should you use PCA? It is often helpful to use a dimensionality-reduction technique such as PCA prior to performing machine learning because: Reducing the dimensionality of the dataset reduces the size of the space on which k-nearest-neighbors (kNN) must calculate distance, which improve the performance of kNN. Reducing the dimensionality of the dataset reduces the number of degrees of freedom of the hypothesis, which reduces the risk of overfitting. What does PCA do? Principal Component Analysis does just what it advertises; it finds the principal components of the dataset. Can you ELI5? Let’s say your original dataset has two variables, x1 and x2: Now, we want to identify the first principal component that has explains the highest amount of variance.
Define and solve a problem by using Solver Solver is part of a suite of commands sometimes called what-if analysis (what-if analysis: A process of changing the values in cells to see how those changes affect the outcome of formulas on the worksheet. For example, varying the interest rate that is used in an amortization table to determine the amount of the payments.) tools. With Solver, you can find an optimal (maximum or minimum) value for a formula (formula: A sequence of values, cell references, names, functions, or operators in a cell that together produce a new value. A formula always begins with an equal sign (=).) in one cell — called the objective cell — subject to constraints, or limits, on the values of other formula cells on a worksheet. Solver works with a group of cells, called decision variables or simply variable cells, that participate in computing the formulas in the objective and constraint cells. In this article Overview Use Solver to determine the maximum or minimum value of one cell by changing other cells.