Provide an analysis of a primary source relating to the the frontier years of East America (Cherokee, Indian Wars, Colony frontier etc) . Why was this source important? How does it relates to the theme of “borderlands, frontier land of East America”(Carolina in Crisis, Revolution, Native American interaction, British interaction, etc)

Found something interesting ?

• On-time delivery guarantee
• PhD-level professional writers
• Free Plagiarism Report

• 100% money-back guarantee
• Absolute Privacy & Confidentiality
• High Quality custom-written papers

Related Model Questions

Feel free to peruse our college and university model questions. If any our our assignment tasks interests you, click to place your order. Every paper is written by our professional essay writers from scratch to avoid plagiarism. We guarantee highest quality of work besides delivering your paper on time.

Neural Net Evolution. A neural net typically starts out with random weights; hence it produces essentially random predictions in the first iteration. Describe how the neural net evolves (in JMP) to produce a more accurate prediction? Car Sales. Consider again the data on used cars ( ) with 1436 records and details on 38 attributes, including Price, Age, KM, HP, and other specifications. The goal is to predict the price of a used Toyota Corolla based on its specifications. a. Determine which variables to include, and use the neural platform in JMP Pro to fit a model. Use the validation column for validation, and use the default values in the Neural model launch dialog. Record the RMSE for the training data and the validation data, and save the formula for the model to the data table (use the Save Fast Formulas option, which will save the formula as one column in the data table). Repeat the process, changing the number of nodes (and ouly this) to 5, 10, and 25. i. Using your recorded values, what happens to the RMSE for the training data as the number of nodes increases? ii. What happens to the RMSE for the validation data? iii. Comment on the appropriate number of nodes for the model. iv. Use the Model Comparison platform to compare these four models (use the Validation column as either aByvariable or as a Group variable, and focus only on the validation data). Here, RASE is reported rather than RMSE. Compare RASE and AAE (average absolute error) values for these four models. Which model has the lowest “error”? b. Conduct a sintilar experiment to assess the effect of changing the number oflayers in the network as well as the activation functions.

Read More »

Grab your Discount!

25% Coupon Code: SAVE25
get 25% !!