Curated Video
Data Science π Interpolation
Interpolation constructs new prediction points from a discrete set of known data points. There are many types of interpolation such as nearest neighbor (piecewise constant), linear, polynomial, cubic spline, and basis spline. In...
Packt
High Performance Scientific Computing with C 1.3: Interpolation and Extrapolation
How can we "fill in" the data points between discrete data? How can we extend beyond our data points? β’ Learn linear interpolation β’ Learn polynomial interpolation β’ See the dangers of extrapolation
The March of Time
1946: REPRISING REACTION: EXT Chicago University. Physicist Enrico Fermi w/ assistant pulling cadmium-plated rod out of reactor CU Interpolation machine w/ light buttons flashing fast first atomic pile (Self-sustaining controlled nuclear reaction)
MOT 1946: REPRISING REACTION: EXT Chicago University. Physicist Enrico Fermi w/ assistant pulling cadmium-plated rod out of reactor CU Interpolation machine w/ light buttons flashing fast first atomic pile (Self-sustaining controlled...
Curated Video
Linear and Nonlinear Regression in Python
Polynomial or general nonlinear functions are developed with Numpy and Scipy in Python. These exercises also cover methods to create linear or spline interpolations that interpolate between data points.
Curated Video
How to Draw a Scatter Diagram and Make Conclusions Based on Correlation
The video teaches how to draw a scatter diagram and make conclusions based on the correlation from that corresponding scatter diagram. Exploratory and response variables are introduced and various types of correlations are explained,...
Packt
Java 11 Programming for Beginners 2.5: Exploring Strings
The video gives a basic intro to string and how it is frequently used. β’ Tutorial on string and how we format it β’ Example of how we use string interpolation/ formatting to tidy up the output
MinuteEarth
Proteins: Explained
To start using Tab for a Cause, go to: http://tabforacause.org/minuteearth2 You might already know that proteins are a fundamental part of your diet, but they're much more than that. LEARN MORE ************** To learn more about this...
Curated Video
Statistical Regression Models and Predicting Values
This video discusses how to determine the best statistical regression model to approximate data within a scatter plot and make predictions through interpolation and extrapolation. It covers the process of inputting data into a graphing...
APMonitor
Data Science π Time Series
Time series data is produced sequentially as new measurements are recorded. Models derived from the data give insight into what happens next. They also show how the system can be changed to achieved a different future outcome. Time...
OER Project
Internationalism Between the Wars | World History Project
During the 1920s, politicians, scientists, veterans, activists, and every-day citizens sought to increase international connections with the goal of ending war and making the world a better place. The League of Nations, the...
Curated Video
By Request: Detailed setup video
Someone requested that I upload a video of the setup. I hope this helps! Pulse generator: http://www.quantumcomposers.com/ For the bullet travel video I set the increment between shots at 50 microseconds. For the matches video I varied...
Royal Opera House
Designing Andrea ChΓ©nier - Bringing the French Revolution to life (The Royal Opera)
Watch the cast and creative team offer an insight into what it takes to design costumes for an authentic period production. Find out more at http://www.roh.org.uk/productions/andrea-chenier-by-david-mcvicar The premiere of Andrea ChΓ©nier...
Royal Opera House
Andrea ChΓ©nier - 'Nemico della patria?' (Ε½eljko LuΔiΔ, The Royal Opera)
Ε½eljko LuΔiΔ plays Carlo GΓ©rard in David McVicar's production of Umberto Giordano's Andrea ChΓ©nier. Find out more at http://www.roh.org.uk/productions/andrea-chenier-by-david-mcvicar The poet Andrea ChΓ©nier and the servant Carlo GΓ©rard...
APMonitor
Data Science π Graphical Analysis
In addition to summary statistics, data visualization helps to understand the data characteristics and how different variables are related.There are many examples of data visualization with Matplotlib, Seaborn, and Plotly. In this...
Curated Video
Data Science π Differential Equations
Specific types of equations with differential terms arise from fundamental relationships such as conservation of mass, energy, and momentum. Dynamic models can either be regressed (identified) from data or developed without data with...
Curated Video
Measures of Central Tendency and Grouped Data: Examples and Estimations
This video is a lecture on measures of central tendency, specifically on how to find the mean for grouped data using coding sets. The lecturer explains the importance of summarizing large data sets and gives examples of various measures...
Curated Video
Data Science π Regression
Regression is the process of adjusting model parameters to fit a prediction to measured values. There are independent variables as inputs to the model to generate the predictions. For machine learning, the objective is to minimize a loss...
Catalyst University
Determine the Isotonic Concentration for a Cell in Solution
In this video, we consider the following situation: Eggs (cells) are placed in solutions with various concentrations, and initial and final egg masses are determined. Determine the isotonic concentration via graphing and manual...
Curated Video
Data Science π Import / Export
Python has functions for reading, creating, and deleting files. The high-level steps for many data science applications is to import data, analyze data, and export results. A basic function for working with files is open(filename,mode)....
Curated Video
Data Science π Install and Overview
Welcome to the course on data science with Python. This course steps through basic data science and machine learning skills to analyze data and create actionable information. It address major steps of the Cross-Industry Standard Process...
Curated Video
Data Science π Prepare Data
Much of data science and machine learning work is getting clean data into the correct form. This may include data cleansing to remove outliers or bad information, scaling for machine learning algorithms, splitting into train and test...
Curated Video
Data Science π Features
Features are input values to regression or classification models. The features are inputs and labels are the measured outcomes. Classification predicts discrete labels (outcomes) such as yes/no, True/False, or any number of discrete...
Curated Video
Data Science π Statistical Analysis
Once data is read into Python, a first step is to analyze the data with summary statistics. This is especially true if the data set is large. Summary statistics include the count, mean, standard deviation, maximum, minimum, and quartile...
Curated Video
Data Science π Classification
Classification predicts discrete labels (outcomes) such as yes/no, True/False, or any number of discrete levels such as a letter from text recognition, or a word from speech recognition. There are two main methods for training...
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