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Manufacturing Systems I
by Stanley B. Gershwin- 0.0
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8 Weeks
Learn about manufacturing systems and ways to analyze them in terms of material flow and storage, information flow, capacities, and times and durations of events, especially random events. Lastly, we will introduce stochastic manufacturing systems models developed here at MIT. Applications of basic probability models Building and solving optimization models...
$175
Complete Python Machine Learning & Data Science for Dummies
by Abhilash Nelson- 4.1
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10.5 hours on-demand video
Train and Test Sets, K-fold Cross Validation, Leave One Out Cross Validation, Repeated Random Test-Train Splits. Bagging: Bagged Decision Trees, Random Forest, Extra Trees Random Search Parameter Tuning Save and Load (serialize and deserialize) Machine Learning Models steps For Finalizing classification models - pima indian dataset steps For Finalizing regression models - boston housing dataset...
$11.99
Applied Machine Learning with R (Trading Use Case) - 2020
by The Trading Whisperer- 3.7
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5.5 hours on-demand video
Code along while learning about feature engineering, write algorithms for training and testing support vector machine, naïve bayes and random forest models and use these to predict the next price direction of crude oil futures....
$9.99
Machine Learning Technical Interview
by Vladimir Poliakov- 3.6
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5 hours on-demand video
Most of the lectures after this will be dedicated to algorithms based on decision-making trees: we will consider bagging algorithm, random forest, AdaBoost, and gradient boosting. Recall many classification and regression models...
$11.99
Investing In Stocks For Big Gains, Growth Investing Method
by Nrupen Masram- 4
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3 hours on-demand video
Just random analysis of financial numbers, baseless theories about low and high debts is not fundamental analysis. Though they are good fundamental models of investing, they favor a lot to rich investors, not retail investor....
$12.99
Foundations of Data Science
by Dinesh Kumar- 0.0
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7 Weeks
After covering basic probability concepts, we move on to random variables, discrete and continuous probability distributions, sampling, estimation and central limit theorem. ML models such as regression and logistic regression use hypothesis testing to select features....
$149
AWS SageMaker Practical for Beginners | Build 6 Projects
by Dr. Ryan Ahmed, Ph.D., MBA- 4.6
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14.5 hours on-demand video
SageMaker is a fully managed service within AWS that allows data scientists and AI practitioners to train, test, and deploy AI/ML models quickly and efficiently. In this course, students will learn how to create AI/ML models using AWS SageMaker....
$12.99
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Introduction to Spreadsheets and Models
by Don Huesman- 4.2
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Approx. 6 hours to complete
Major corporations and small businesses alike use spreadsheet models to determine where key measures of their success are now, and where they are likely to be in the future. 1 Using assumptions and decision variables in spreadsheet models 5 Limits to simple, deterministic models Module 2 Quiz: Classic Models Addressing Uncertainty and Probability in Models...
AWS Certified Machine Learning Specialty (MLS-C01)
by Chandra Lingam- 4.6
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17 hours on-demand video
*** SEP-2020 Anomaly Detection with Random Cut Forest - Learn the intuition behind anomaly detection using Random Cut Forest. * Learn how to train, optimize and deploy your models * Learning algorithms is one part of the story - You need to know how to integrate the trained models in your application....
$25.99
Mathematical Foundation For Machine Learning and AI
by Eduonix Learning Solutions- 4.4
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4.5 hours on-demand video
the parameters of different models and improve the performance. Random Variables Special Random Variables...
$9.99
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