8.03 GB | 00:13:02 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
1 -Introduction  (82.1 MB)
2 -Introduction to Artificial Intelligence (AI)  (26.37 MB)
3 -Why learn to code AI  (20.88 MB)
4 -What will we build in this course  (87.34 MB)
5 -download скачать and Install Visual Studio Code with C# Dev Kit (Mac)  (23.53 MB)
6 -download скачать and Install Visual Studio Code with C# Dev Kit (Windows)  (8.35 MB)
1 -Section Introduction  (6.62 MB)
10 -Section Summary  (4.89 MB)
2 -Forecasting  (36.09 MB)
3 -Sneak Peek at Finished Project  (12.7 MB)
4 -Creating the Project  (11.66 MB)
5 -Setting up the Data  (15.22 MB)
6 -Loading the Data  (12.3 MB)
7 -Training the Model  (17.39 MB)
8 -Evaluating and Testing the Model  (27.5 MB)
9 -Answers & Explanations to Quiz Questions  (13.58 MB)
1 -Section Introduction  (6.87 MB)
10 -Section Summary  (4.85 MB)
2 -Recommendation  (48 MB)
3 -Sneak Peek at Finished Project  (11.52 MB)
4 -Creating the Project  (6.08 MB)
5 -Preprocessing the Data  (53.11 MB)
6 -Loading the Data  (31.32 MB)
7 -Training the Model  (46.08 MB)
8 -Evaluating and Testing the Model  (41.53 MB)
9 -Answers & Explanations to Quiz Questions  (15.89 MB)
1 -Section Introduction  (7.12 MB)
10 -Section Summary  (6.52 MB)
2 -Sentiment Analysis  (31.32 MB)
3 -Sneak Peek at Finished Project  (22.78 MB)
4 -Creating the Project  (11.12 MB)
5 -Preprocessing the Data  (31.92 MB)
6 -Loading the Data  (16.5 MB)
7 -Training the Model  (15.55 MB)
8 -Evaluating and Testing the Model  (25.95 MB)
9 -Answers & Explanations to Quiz Questions  (18.47 MB)
1 -Section Introduction  (7.28 MB)
10 -Section Summary  (6.16 MB)
2 -Anomaly Detection  (18.14 MB)
3 -Sneak Peek at Finished Project  (41.61 MB)
4 -Creating the Project  (12.32 MB)
5 -Preprocessing the Data  (20.21 MB)
6 -Loading the Data  (14.74 MB)
7 -Training the Model  (15.17 MB)
8 -Evaluating and Testing the Model  (32.39 MB)
9 -Answers & Explanations to Quiz Questions  (13.09 MB)
1 -Section Introduction  (6.8 MB)
10 -Section Summary  (5.62 MB)
2 -Text Generation  (24.63 MB)
3 -Sneak Peek at Finished Project  (24.14 MB)
4 -Creating the Project  (12.78 MB)
5 -Preprocessing the Data  (9.79 MB)
6 -Loading the Data  (10.87 MB)
7 -Training the Model  (28.54 MB)
8 -Evaluating and Testing the Model  (48.24 MB)
9 -Answers & Explanations to Quiz Questions  (18.93 MB)
1 -Section Introduction  (7.37 MB)
10 -Section Summary  (6.06 MB)
2 -Time Series Analysis  (19.76 MB)
3 -Sneak Peek at Finished Project  (8.43 MB)
4 -Creating the Project  (12.48 MB)
5 -Loading the Data  (18.33 MB)
6 -Preprocessing the Data  (17.86 MB)
7 -Training the Model  (15.47 MB)
8 -Evaluating and Testing the Model  (84.45 MB)
9 -Answers & Explanations to Quiz Questions  (13.11 MB)
1 -Section Introduction  (6.46 MB)
2 -Clustering  (22.55 MB)
3 -Sneak Peek at Finished Project  (8.67 MB)
4 -Creating the Project  (13.49 MB)
5 -Loading the Data  (21.82 MB)
6 -Training the Model  (12.58 MB)
7 -Evaluating and Testing the Model  (19.63 MB)
8 -Answers & Explanations to Quiz Questions  (11.13 MB)
9 -Section Summary  (5.73 MB)
1 -Section Introduction  (7.36 MB)
10 -Section Summary  (5.99 MB)
2 -Reinforcement Learning  (31.33 MB)
3 -Sneak Peek at Finished Project  (5.94 MB)
4 -Creating the Project  (13.44 MB)
5 -Setting Up the Environment  (44.44 MB)
6 -Defining the Q-Learning Algorithm  (50.37 MB)
7 -Implementing the Training Process  (40.53 MB)
8 -Testing the trained agent  (25.03 MB)
9 -Answers & Explanations to Quiz Questions  (13.75 MB)
1 -Section Introduction  (7.9 MB)
2 -Reading and Writing Data to Files  (66.57 MB)
3 -Data Preprocessing Techniques  (71.59 MB)
4 -Exploratory Data Analysis (EDA)  (79.78 MB)
5 -Feature Engineering  (63.92 MB)
6 -Data Integration and Aggregation  (47.88 MB)
7 -Answers & Explanations to Quiz Questions  (14.4 MB)
8 -Section Summary  (6.23 MB)
1 -Section Introduction  (14.12 MB)
10 -Eigenvalue Decomposition and Singular Value Decomposition  (29.61 MB)
11 -Multivariate Data Analysis and Dimensionality Reduction  (75.23 MB)
12 -Answers & Explanations to Quiz Questions  (15.19 MB)
13 -Section Summary  (12.75 MB)
2 -Introduction to Math NET Numerics  (34.19 MB)
3 -Statistical Analysis with Math NET Numerics  (30.87 MB)
4 -Linear Algebra Operations with Math NET Numerics  (32.4 MB)
5 -Numerical Integration and Differentiation  (23.35 MB)
6 -Solving Linear Equations and Systems  (37.77 MB)
7 -Curve Fitting and Interpolation Techniques  (34.82 MB)
8 -Optimization Methods in Math NET Numerics  (22.74 MB)
9 -Sparse Matrices and Compressed Storage Formats  (30.03 MB)
1 -Section Introduction  (7.81 MB)
10 -Generative AI  (33.53 MB)
11 -Computer Vision  (34.51 MB)
12 -Answers & Explanations to Quiz Questions  (33.31 MB)
13 -Section Summary  (6.19 MB)
2 -Types of AI  (30.87 MB)
3 -Neural Networks  (19.53 MB)
4 -Machine Learning  (18.7 MB)
5 -Q-Learning  (22.4 MB)
6 -Deep Q-Learning  (27.61 MB)
7 -Deep Convolutional Q-Learning  (34.71 MB)
8 -Asynchronous Advantage Actor-Critic (A3C)  (38.29 MB)
9 -Large Language Models (LLMs)  (36.91 MB)
1 -Section Introduction  (9.91 MB)
10 -Answers & Explanations to Quiz Questions  (14.5 MB)
11 -Section Summary  (8.72 MB)
2 -Introduction to NumSharp  (43.31 MB)
3 -Working with Arrays in NumSharp  (50.77 MB)
4 -Basic Mathematical Operations with NumSharp  (50.03 MB)
5 -Indexing and Slicing Arrays in NumSharp  (38.33 MB)
6 -Linear Algebra Operations with NumSharp  (15.77 MB)
7 -Statistical Analysis with NumSharp  (26.5 MB)
8 -Array Broadcasting and Universal Functions (ufuncs)  (34.97 MB)
9 -Advanced Array Manipulation Techniques  (20.64 MB)
1 -Section Introduction  (10.82 MB)
10 -Seasonality and Trend Analysis in Time Series Data  (42.81 MB)
11 -Stationarity Testing with Deedle  (21.11 MB)
12 -Integration with ML NET for Time Series Prediction  (60.54 MB)
13 -Answers & Explanations to Quiz Questions  (20.22 MB)
14 -Section Summary  (9.93 MB)
2 -Introduction to Deedle  (26.07 MB)
3 -Loading and Manipulating Time Series Data with Deedle  (28.02 MB)
4 -Basic Time Series Operations with Deedle  (27.2 MB)
5 -Resampling and Aggregating Time Series Data  (31.2 MB)
6 -Time Series Indexing and Slicing in Deedle  (34.47 MB)
7 -Missing Data Handling in Time Series Analysis with Deedle  (31.13 MB)
8 -Rolling Windows and Moving Averages  (16.67 MB)
9 -Time Series Visualization with Deedle  (30.97 MB)
1 -Section Introduction  (12.37 MB)
10 -Ensemble Learning and Random Forests in Accord NET  (40.72 MB)
11 -Support Vector Machines (SVM) with Accord NET  (27.45 MB)
12 -Neural Networks and Deep Learning with Accord NET  (27.73 MB)
13 -Answers & Explanations to Quiz Questions  (37.56 MB)
14 -Section Summary  (11.03 MB)
2 -Introduction to Accord NET  (20.77 MB)
3 -Loading and Preprocessing Data with Accord NET  (32.93 MB)
4 -Exploratory Data Analysis (EDA) with Accord NET  (49.62 MB)
5 -Basic Statistical Analysis with Accord NET  (72.5 MB)
6 -Classification Algorithms in Accord NET  (33.97 MB)
7 -Regression Techniques with Accord NET  (32.44 MB)
8 -Clustering Methods in Accord NET  (31.15 MB)
9 -Dimensionality Reduction Techniques  (27.43 MB)
1 -Section Introduction  (19.51 MB)
10 -Obstacle Avoidance and Pathfinding Strategies for Mario  (50.05 MB)
11 -Dynamic Difficulty Adjustment Adaptive Algorithms  (27.24 MB)
12 -UI Design Algorithm Selection & Configuration  (98.71 MB)
13 -Evaluating Mario's Performance Metrics & Visualization  (43.7 MB)
14 -Hyperparameter Fine-Tuning Optimization Techniques  (45.84 MB)
15 -Handling Sparse Rewards Reward Shaping & Function Approximation  (23.53 MB)
16 -Exploration-Exploitation Strategies Epsilon-Greedy & Softmax  (54.71 MB)
17 -Debugging & Troubleshooting ML Agents  (18.26 MB)
18 -Model Interpretability Understanding Agent Behavior  (32.53 MB)
19 -Continuous & Transfer Learning Strategies  (74.44 MB)
2 -download скачать and Install Unity  (19.43 MB)
20 -Deploying the Trained Mario Agent in Unity  (30.07 MB)
21 -Answers & Explanations to Quiz Questions  (18.14 MB)
22 -Section Summary  (18.34 MB)
3 -What are ML Agents  (18.59 MB)
4 -Importing the ML Agents Unity Package  (10.31 MB)
5 -ML Agents in Unity Building a Mario Agent  (62.66 MB)
6 -Setting Up Mario's Environment Level Design & Initialization  (130.78 MB)
7 -Observations & Actions Input & Output Spaces  (12.34 MB)
8 -Coin Collection Rewards & Greedy Algorithm  (116.98 MB)
9 -Advanced Coin Collection Q-Learning & Policy Gradient  (82.18 MB)
1 -Section Introduction  (10.25 MB)
10 -Distributed Training Scaling Model Training  (17.73 MB)
11 -Answers & Explanations to Quiz Questions  (28.76 MB)
12 -Section Summary  (9.75 MB)
2 -Model Performance Evaluation Metrics & Techniques  (20.57 MB)
3 -Hyperparameter Tuning Strategies for Better Performance  (19.17 MB)
4 -Grid vs  Random Search Hyperparameter Optimization  (25.56 MB)
5 -Bayesian Optimization for Hyperparameter Tuning  (26.62 MB)
6 -Automated Machine Learning (AutoML) for Model Selection  (27.67 MB)
7 -Model Interpretability Techniques  (26.41 MB)
8 -Pruning Models for Efficiency  (21.2 MB)
9 -Quantization & Compression for Model Optimization  (25.23 MB)
1 -Section Introduction  (18.58 MB)
10 -Error Handling Exception Handling and Try-Catch Blocks  (21.05 MB)
11 -Asynchronous Programming with asyncawait  (23.35 MB)
12 -LINQ Fundamentals Querying Collections  (20.15 MB)
13 -LINQ Operators Filtering, Sorting, and Grouping Data  (21.83 MB)
14 -Delegates and Events Understanding Event-Driven Programming  (44.12 MB)
15 -Reflection and Attributes in C# Accessing Type Information  (52.5 MB)
16 -File IO Operations Reading and Writing Files  (37.64 MB)
17 -Working with Streams Stream-Based IO Operations  (67.66 MB)
18 -Best Practices and Coding Standards for C# Programming  (19.28 MB)
19 -Answers & Explanations to Quiz Questions  (15.95 MB)
2 -Introduction to C# Programming Language  (25.04 MB)
20 -Section Summary  (17.99 MB)
3 -Understanding Variables and Data Types in C#  (26.34 MB)
4 -Control Flow If Statements and Switch Statements  (23.11 MB)
5 -Looping Constructs For, While, and Do-While Loops  (19.3 MB)
6 -Introduction to Object-Oriented Programming (OOP) in C#  (25.85 MB)
7 -Encapsulation Access Modifiers and Data Hiding  (22.56 MB)
8 -Working with Collections Arrays, Lists, and Dictionaries  (18.65 MB)
9 -Introduction to Generics in C#  (26.52 MB)
1 -Section Introduction  (11.88 MB)
10 -Eigenvalues and Eigenvectors  (26.89 MB)
11 -Matrix Rank and Null Space  (29.2 MB)
12 -Singular Value Decomposition (SVD)  (39.72 MB)
13 -Least Squares Estimation  (25.77 MB)
14 -Linear Transformations and Kernel  (31.48 MB)
15 -Principal Component Analysis (PCA) and Dimensionality Reduction  (28.73 MB)
16 -Applications of Linear Algebra in Machine Learning  (28.7 MB)
17 -Answers & Explanations to Quiz Questions  (9.7 MB)
18 -Section Summary  (10.23 MB)
2 -Introduction to Linear Algebra  (53.07 MB)
3 -Matrices and Operations  (55.5 MB)
4 -Solving Linear Systems  (79.81 MB)
5 -Vector Spaces and Subspaces  (25.53 MB)
6 -Linear Independence and Span  (21.78 MB)
7 -Orthogonality and Orthogonal Matrices  (32.12 MB)
8 -Matrix Transformations and Geometry  (29.51 MB)
9 -Inner Products and Norms  (20.8 MB)
1 -Course Summary & Wrap-Up  (63.49 MB)
2 -Bonus Lecture  (21.77 MB)
1 -Section Introduction  (9.27 MB)
10 -Section Summary  (7.84 MB)
2 -What is ChatGPT  (31.01 MB)
3 -Writing More Effective Generative AI Prompts  (16.78 MB)
4 -ChatGPT Project 1 Using ChatGPT to Brainstorm Ideas  (27.64 MB)
5 -ChatGPT Project 2 Using ChatGPT to Write a First Draft  (23.72 MB)
6 -ChatGPT Project 3 Using ChatGPT to Create a Workout Plan  (13.89 MB)
7 -ChatGPT Project 4 Using ChatGPT to Summarize a Book  (21.1 MB)
8 -ChatGPT Project 5 Using ChatGPT to Write Code  (11.22 MB)
9 -Answers & Explanations to Quiz Questions  (8.5 MB)
1 -Section Introduction  (5.67 MB)
2 -What is TorchSharp  (9.92 MB)
3 -Creating the Maze (The Environment)  (13.46 MB)
4 -Actions & Rewards  (22.55 MB)
5 -Training the Model  (68.94 MB)
6 -Final Result  (66.84 MB)
7 -Answers & Explanations to Quiz Questions  (6.37 MB)
8 -Section Summary  (5.24 MB)
1 -Section Introduction  (8.99 MB)
10 -Coding a Neural Network The Transpose Function  (21.9 MB)
11 -Coding a Neural Network Testing our Code  (50.18 MB)
12 -Real World Applications of Neural Networks  (28.54 MB)
13 -Answers & Explanations to Quiz Questions  (11.25 MB)
14 -Section Summary  (7.87 MB)
2 -What is a Neural Network  (14.54 MB)
3 -Neural Network Architecture  (63.12 MB)
4 -Sneak Peek at Finished Project  (8.65 MB)
5 -Coding a Neural Network The Neural Network Class  (19.29 MB)
6 -Coding a Neural Network The Activate Function  (32.97 MB)
7 -Coding a Neural Network The Train Function  (23.83 MB)
8 -Coding a Neural Network The Dot Product Function  (21.86 MB)
9 -Coding a Neural Network The Perform Operation Function  (21.68 MB)
1 -Section Introduction  (8.64 MB)
10 -Answers & Explanations to Quiz Questions  (25.66 MB)
11 -Section Summary  (7.04 MB)
2 -What is ML NET  (20.37 MB)
3 -Setting up ML NET  (12.4 MB)
4 -Introduction to Machine Learning with ML NET  (54.79 MB)
5 -Data Preparation and Loading in ML NET  (24.32 MB)
6 -Feature Engineering in ML NET  (43.91 MB)
7 -Model Selection and Evaluation in ML NET  (90.5 MB)
8 -Training and Tuning Models in ML NET  (24.89 MB)
9 -Model Deployment and Integration with ML NET  (21.52 MB)
1 -Section Introduction  (7.13 MB)
10 -Section Summary  (5.77 MB)
2 -Classification  (49.68 MB)
3 -Sneak Peek at Finished Project  (13.24 MB)
4 -Creating the Project  (13.13 MB)
5 -Setting up the Data  (13.29 MB)
6 -Loading the Data  (47.09 MB)
7 -Training the Model  (34.52 MB)
8 -Evaluating and Testing the Model  (46.13 MB)
9 -Answers & Explanations to Quiz Questions  (23.03 MB)
1 -Section Introduction  (7.49 MB)
10 -Section Summary  (5.93 MB)
2 -Image Classification  (13.95 MB)
3 -Sneak Peek at Finished Project  (17.43 MB)
4 -Creating the Project  (10.36 MB)
5 -Data  (7.49 MB)
5 -Setting up the Data  (8.98 MB)
6 -Loading the Data  (63.07 MB)
7 -Training the Model  (32 MB)
8 -Evaluating and Testing the Model  (50.47 MB)
9 -Answers & Explanations to Quiz Questions  (13.92 MB)
1 -Section Introduction  (6.38 MB)
10 -Section Summary  (5.38 MB)
2 -Regression  (47.98 MB)
3 -Sneak Peek at Finished Project  (17.08 MB)
4 -Creating the Project  (11.03 MB)
5 -Preprocessing and Loading the Data  (40.59 MB)
6 -Training the Model  (14.23 MB)
7 -Evaluating the Model  (9.64 MB)
8 -Testing the Model  (18.07 MB)
9 -Answers & Explanations to Quiz Questions  (17.81 MB)]
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