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تحميل computational thinking


روابط التحميل

يوجد صيانة لقسم تحميل الدورات لذلك يمكنك مشاهدة الدورة بشكل مباشر من هنا بدلا من التحميل لحين الانتهاء من صيانة القسم

  • Introduction to Computational Thinking and Data Science | Optimization | 0 1 Knapsack Problem

  • Introduction to Computational Thinking and Data Science | Optimization | Greedy Algorithms

  • Introduction to Computational Thinking and Data Science | Decision Trees | Brute Force Algorithms

  • Introduction to Computational Thinking and Data Science | Decision Trees | Recursive Fibonacci

  • Introduction to Computational Thinking and Data Science | Decision Trees | Dynamic Programming

  • Introduction to Computational Thinking and Data Science | Graph Problems | Graphs

  • Introduction to Computational Thinking and Data Science | Graph Problems | Graph Class

  • Introduction to Computational Thinking and Data Science | Graph Problems | Finding the Shortest Path

  • Introduction to Computational Thinking and Data Science | Stochastic Thinking | Stochastic Processes

  • Introduction to Computational Thinking and Data Science | Stochastic Thinking | Probabilities

  • Introduction to Computational Thinking and Data Science | Stochastic Thinking | Random Walks

  • Introduction to Computational Thinking and Data Science | Random Walks | Location Field and Drunk

  • Introduction to Computational Thinking and Data Science | Random Walks | Simulating a Walk

  • Introduction to Computational Thinking and Data Science | Inferential Statistics | Variation in Data

  • Introduction to Computational Thinking and Data Science | Inferential Statistics | Distributions

  • Intro to Computational Thinking and Data Science | Monte Carlo Simulations | Central Limit Theorem

  • Intro to Computational Thinking and Data Science | | Monte Carlo Simulations Simulation to Find Pi

  • Intro to Computational Thinking and Data Science | Sampling and Standard Error | Data Sampling

  • Introduction to Computational Thinking and Data Science | Sampling and Standard Error | Sample Sizes

  • Intro to Computational Thinking and Data Science | Sampling and Standard Error | Standard Error

  • Intro to Computational Thinking and Data Science | Independent Random Samples

  • Intro to Computational Thinking and Data Science | Experimental Data | Fitting a Model to Data

  • Introduction to Computational Thinking and Data Science | Experimental Data | Goodness of Fit

  • Introduction to Computational Thinking and Data Science | Experimental Data | Fits for Datasets

  • Intro to Computational Thinking Data Science | Experimental Data | Model Predictions and Overfitting

  • Introduction to Computational Thinking and Data Science | Experimental Data | Cross Validation

  • Intro to Computational Thinking and Data Science | Machine Learning | What is Machine Learning

  • Introduction to Computational Thinking and Data Science | Machine Learning | K Nearest Neighbors

  • Introduction to Computational Thinking and Data Science | Machine Learning | Clustering

  • Intro to Comp Thinking and Data Science | Statistical Fallacies | Lies Damned Lies and Statistics

  • Introduction to Computational Thinking and Data Science | Statistical Fallacies | Texas Sharpshooter

  • Intro to Computational Thinking and Data Science | Statistical Fallacies | Correlation and Causation

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