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41 - Kernel PCA/002 Kernel PCA in R.mp4 239.9 MB
37 - Convolutional Neural Networks/001 dataset.zip 232.0 MB
29 - Apriori/008 Apriori in R - Step 3.mp4 169.5 MB
20 - Naive Bayes/001 Bayes Theorem.mp4 152.7 MB
36 - Artificial Neural Networks/015 ANN in R - Step 1.mp4 139.2 MB
29 - Apriori/005 Apriori in Python - Step 4.mp4 122.4 MB
36 - Artificial Neural Networks/017 ANN in R - Step 3.mp4 121.3 MB
43 - Model Selection/002 Grid Search in Python.mp4 120.0 MB
37 - Convolutional Neural Networks/015 CNN in Python - FINAL DEMO!.mp4 117.5 MB
35 - -------------------- Part 8 Deep Learning --------------------/002 What is Deep Learning.mp4 107.9 MB
39 - Principal Component Analysis (PCA)/004 PCA in R - Step 1.mp4 105.5 MB
37 - Convolutional Neural Networks/011 CNN in Python - Step 2.mp4 104.9 MB
32 - Upper Confidence Bound (UCB)/012 Upper Confidence Bound in R - Step 3.mp4 103.8 MB
29 - Apriori/007 Apriori in R - Step 2.mp4 101.3 MB
32 - Upper Confidence Bound (UCB)/001 The Multi-Armed Bandit Problem.mp4 101.1 MB
40 - Linear Discriminant Analysis (LDA)/003 LDA in R.mp4 98.2 MB
37 - Convolutional Neural Networks/005 Step 2 - Pooling.mp4 91.7 MB
39 - Principal Component Analysis (PCA)/002 PCA in Python - Step 1.mp4 90.2 MB
37 - Convolutional Neural Networks/014 CNN in Python - Step 5.mp4 89.0 MB
36 - Artificial Neural Networks/011 ANN in Python - Step 2.mp4 88.6 MB

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41 - Kernel PCA/002 Kernel PCA in R.mp4 239.9 MB
37 - Convolutional Neural Networks/001 dataset.zip 232.0 MB
29 - Apriori/008 Apriori in R - Step 3.mp4 169.5 MB
20 - Naive Bayes/001 Bayes Theorem.mp4 152.7 MB
36 - Artificial Neural Networks/015 ANN in R - Step 1.mp4 139.2 MB
29 - Apriori/005 Apriori in Python - Step 4.mp4 122.4 MB
36 - Artificial Neural Networks/017 ANN in R - Step 3.mp4 121.3 MB
43 - Model Selection/002 Grid Search in Python.mp4 120.0 MB
37 - Convolutional Neural Networks/015 CNN in Python - FINAL DEMO!.mp4 117.5 MB
35 - -------------------- Part 8 Deep Learning --------------------/002 What is Deep Learning.mp4 107.9 MB
39 - Principal Component Analysis (PCA)/004 PCA in R - Step 1.mp4 105.5 MB
37 - Convolutional Neural Networks/011 CNN in Python - Step 2.mp4 104.9 MB
32 - Upper Confidence Bound (UCB)/012 Upper Confidence Bound in R - Step 3.mp4 103.8 MB
29 - Apriori/007 Apriori in R - Step 2.mp4 101.3 MB
32 - Upper Confidence Bound (UCB)/001 The Multi-Armed Bandit Problem.mp4 101.1 MB
40 - Linear Discriminant Analysis (LDA)/003 LDA in R.mp4 98.2 MB
37 - Convolutional Neural Networks/005 Step 2 - Pooling.mp4 91.7 MB
39 - Principal Component Analysis (PCA)/002 PCA in Python - Step 1.mp4 90.2 MB
37 - Convolutional Neural Networks/014 CNN in Python - Step 5.mp4 89.0 MB
36 - Artificial Neural Networks/011 ANN in Python - Step 2.mp4 88.6 MB

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41 - Kernel PCA/372 - Kernel PCA in R.mp4 418.7 MB
29 - Apriori/271 - Apriori in R Step 3.mp4 282.1 MB
36 - Artificial Neural Networks/339 - ANN in R Step 1.mp4 238.7 MB
37 - Convolutional Neural Networks/345 - dataset.zip 232.0 MB
36 - Artificial Neural Networks/341 - ANN in R Step 3.mp4 212.6 MB
20 - Naive Bayes/197 - Bayes Theorem.mp4 204.7 MB
29 - Apriori/268 - Apriori in Python Step 4.mp4 201.8 MB
43 - Model Selection/375 - Grid Search in Python.mp4 196.8 MB
37 - Convolutional Neural Networks/359 - CNN in Python FINAL DEMO.mp4 195.1 MB
35 - Part 8 Deep Learning/324 - What is Deep Learning.mp4 186.8 MB
39 - Principal Component Analysis PCA/365 - PCA in R Step 1.mp4 184.3 MB
37 - Convolutional Neural Networks/355 - CNN in Python Step 2.mp4 182.9 MB
40 - Linear Discriminant Analysis LDA/370 - LDA in R.mp4 173.3 MB
32 - Upper Confidence Bound UCB/287 - Upper Confidence Bound in R Step 3.mp4 172.7 MB
29 - Apriori/270 - Apriori in R Step 2.mp4 169.8 MB
44 - XGBoost/378 - XGBoost in Python.mp4 149.5 MB
37 - Convolutional Neural Networks/358 - CNN in Python Step 5.mp4 147.0 MB
37 - Convolutional Neural Networks/349 - Step 2 Pooling.mp4 146.2 MB
34 - Part 7 Natural Language Processing/307 - Natural Language Processing in Python Step 5.mp4 143.5 MB
39 - Principal Component Analysis PCA/363 - PCA in Python Step 1.mp4 143.0 MB

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41 - Kernel PCA/372 - Kernel PCA in R.mp4 418.7 MB
29 - Apriori/271 - Apriori in R Step 3.mp4 282.1 MB
36 - Artificial Neural Networks/339 - ANN in R Step 1.mp4 238.7 MB
37 - Convolutional Neural Networks/345 - dataset.zip 232.0 MB
36 - Artificial Neural Networks/341 - ANN in R Step 3.mp4 212.6 MB
20 - Naive Bayes/197 - Bayes Theorem.mp4 204.7 MB
29 - Apriori/268 - Apriori in Python Step 4.mp4 201.8 MB
43 - Model Selection/375 - Grid Search in Python.mp4 196.8 MB
37 - Convolutional Neural Networks/359 - CNN in Python FINAL DEMO.mp4 195.1 MB
35 - Part 8 Deep Learning/324 - What is Deep Learning.mp4 186.8 MB
39 - Principal Component Analysis PCA/365 - PCA in R Step 1.mp4 184.3 MB
37 - Convolutional Neural Networks/355 - CNN in Python Step 2.mp4 182.9 MB
40 - Linear Discriminant Analysis LDA/370 - LDA in R.mp4 173.3 MB
32 - Upper Confidence Bound UCB/287 - Upper Confidence Bound in R Step 3.mp4 172.7 MB
29 - Apriori/270 - Apriori in R Step 2.mp4 169.8 MB
44 - XGBoost/378 - XGBoost in Python.mp4 149.5 MB
37 - Convolutional Neural Networks/358 - CNN in Python Step 5.mp4 147.0 MB
37 - Convolutional Neural Networks/349 - Step 2 Pooling.mp4 146.2 MB
34 - Part 7 Natural Language Processing/307 - Natural Language Processing in Python Step 5.mp4 143.5 MB
39 - Principal Component Analysis PCA/363 - PCA in Python Step 1.mp4 143.0 MB

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~Get Your Files Here !/8 - AI, LLMs and Code Generation Foundations/3 -Generative SwiftUI Animation With Cursor AI Code Editor.mp4 114.0 MB
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~Get Your Files Here !/7 - FastHTML Foundations/3 -Working with SVG Graphics in FastHTML.mp4 54.3 MB
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~Get Your Files Here !/4 - OpenAI API/2 -How to turn text into realistic spoken audio.mp4 47.2 MB
~Get Your Files Here !/6 - Building AI Agents/1 -OpenAI Swarm A Quick Start Guide.mp4 42.8 MB
~Get Your Files Here !/6 - Building AI Agents/3 -How to build an agentic RAG system with Python and Phidata.mp4 42.7 MB
~Get Your Files Here !/9 - Local LLM Tools/1 -How to use LM Studio to run LLMs locally.mp4 42.1 MB
~Get Your Files Here !/7 - FastHTML Foundations/1 -Create your first FastHTML app.mp4 41.3 MB
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~Get Your Files Here !/5 - AI-Assisted Code Editors/2 -Get started with AI-assisted coding in Xcode and Swift.mp4 35.6 MB
~Get Your Files Here !/8 - AI, LLMs and Code Generation Foundations/6 -How to run gguf models locally with Gradio.mp4 34.7 MB
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37 - Convolutional Neural Networks/010 dataset.zip 232.4 MB
37 - Convolutional Neural Networks/001 dataset.zip 232.0 MB
37 - Convolutional Neural Networks/016 Hands-on CNN Training Using Jupyter Notebook for Image Classification.mp4 76.3 MB
41 - Kernel PCA/002 Implementing Kernel PCA for Non-Linear Data Step-by-Step Guide.mp4 72.2 MB
43 - Model Selection/004 Optimizing SVM Models with GridSearchCV A Step-by-Step Python Tutorial.mp4 71.1 MB
40 - Linear Discriminant Analysis (LDA)/003 Step-by-Step Guide Applying LDA for Feature Extraction in Machine Learning.mp4 68.1 MB
43 - Model Selection/005 Evaluating ML Model Accuracy K-Fold Cross-Validation Implementation in R.mp4 65.9 MB
20 - Naive Bayes/001 Understanding Bayes--' Theorem Intuitively From Probability to Machine Learning.mp4 65.6 MB
29 - Apriori/008 Step 3 Optimizing Product Placement - Apriori Algorithm, Lift --& Confidence.mp4 65.2 MB
29 - Apriori/006 Step 1 - Creating a Sparse Matrix for Association Rule Mining in R.mp4 64.2 MB
29 - Apriori/005 Step 4 Visualizing Apriori Algorithm Results for Product Deals in Python.mp4 63.6 MB
37 - Convolutional Neural Networks/007 Step 4 - Fully Connected Layers in CNNs Optimizing Feature Combination.mp4 62.6 MB
33 - Thompson Sampling/008 Step 1 - Thompson Sampling vs UCB Optimizing Ad Click-Through Rates in R.mp4 61.5 MB
33 - Thompson Sampling/001 Understanding Thompson Sampling Algorithm Intuition and Implementation.mp4 61.3 MB
44 - XGBoost/003 XGBoost Tutorial Implementing Gradient Boosting for Classification Problems.mp4 60.3 MB
36 - Artificial Neural Networks/011 Step 2 - TensorFlow 2.0 Tutorial Preprocessing Data for Customer Churn Model.mp4 60.1 MB
37 - Convolutional Neural Networks/009 Deep Learning Essentials Understanding Softmax and Cross-Entropy in CNNs.mp4 59.2 MB
29 - Apriori/001 Apriori Algorithm Uncovering Hidden Patterns in Data Mining Association Rules.mp4 58.8 MB
32 - Upper Confidence Bound (UCB)/012 Step 3 Optimizing Ad Selection - UCB --& Multi-Armed Bandit Algorithm Explained.mp4 58.4 MB
37 - Convolutional Neural Networks/013 Step 3 - TensorFlow CNN Convolution to Output Layer for Vision Tasks.mp4 57.9 MB

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[TutsNode.net] - Python Accelerator Mastering Python with Google Bard AI/4. Use Google Bard AI to Learn Python Basics/1. Use Google Bard to write variables.mp4 178.1 MB
[TutsNode.net] - Python Accelerator Mastering Python with Google Bard AI/2. Setting up Python environment/2. PyCharm IDE code editor installation.mp4 106.2 MB
[TutsNode.net] - Python Accelerator Mastering Python with Google Bard AI/5. Use Google Bard AI to Learn Python Data Structures/1. Use Google Bard to write lists.mp4 97.1 MB
[TutsNode.net] - Python Accelerator Mastering Python with Google Bard AI/6. Use Google Bard AI to Learn Python Control flow statements/1. Use Google Bard to write if-else statements.mp4 91.1 MB
[TutsNode.net] - Python Accelerator Mastering Python with Google Bard AI/3. Google Bard AI – Basic/4. How to use Google Bard.mp4 89.7 MB
[TutsNode.net] - Python Accelerator Mastering Python with Google Bard AI/4. Use Google Bard AI to Learn Python Basics/5. Use Google Bard to write operators.mp4 88.9 MB
[TutsNode.net] - Python Accelerator Mastering Python with Google Bard AI/3. Google Bard AI – Basic/1. What is Google Bard AI.mp4 81.5 MB
[TutsNode.net] - Python Accelerator Mastering Python with Google Bard AI/9. Use Google Bard AI to Learn Python Advanced OOPs concepts/5. Use Google Bard AI to write abstract classes.mp4 74.6 MB
[TutsNode.net] - Python Accelerator Mastering Python with Google Bard AI/9. Use Google Bard AI to Learn Python Advanced OOPs concepts/6. Use Google Bard AI to write encapsulation.mp4 74.0 MB
[TutsNode.net] - Python Accelerator Mastering Python with Google Bard AI/5. Use Google Bard AI to Learn Python Data Structures/2. Use Google Bard to write tuples.mp4 72.9 MB
[TutsNode.net] - Python Accelerator Mastering Python with Google Bard AI/6. Use Google Bard AI to Learn Python Control flow statements/2. Use Google Bard to write while loops.mp4 71.9 MB
[TutsNode.net] - Python Accelerator Mastering Python with Google Bard AI/7. Use Google Bard AI to Learn Functions and Modules/3. Working with modules and libraries-NumPy.mp4 70.7 MB
[TutsNode.net] - Python Accelerator Mastering Python with Google Bard AI/3. Google Bard AI – Basic/3. Google Bard Dashboard.mp4 69.3 MB
[TutsNode.net] - Python Accelerator Mastering Python with Google Bard AI/3. Google Bard AI – Basic/7. Google Bard to Write a Calculator Program.mp4 67.7 MB
[TutsNode.net] - Python Accelerator Mastering Python with Google Bard AI/6. Use Google Bard AI to Learn Python Control flow statements/3. Use Google Bard to write for loops.mp4 66.8 MB
[TutsNode.net] - Python Accelerator Mastering Python with Google Bard AI/2. Setting up Python environment/1. Python Installation step by step.mp4 66.6 MB
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【影视】 [ FreeCourseWeb.com ] PluralSight - Developing Generative AI Applications with Python and Open AI

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~Get Your Files Here !/3. Overview of Generative Pre-trained Transformer (GPT) Models/1. Understanding Generative Pre-Trained Transformer .mp4 17.8 MB
~Get Your Files Here !/7. Train your own ChatBot/3. Building a ChatBot.mp4 15.5 MB
~Get Your Files Here !/3. Overview of Generative Pre-trained Transformer (GPT) Models/3. Transformer Architecture in Simpler Words.mp4 14.7 MB
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~Get Your Files Here !/2. Introduction to Large Language Models (LLM) and OpenAI/1. Life Before LLMs.mp4 14.6 MB
~Get Your Files Here !/04. Getting Started with OpenAI APIs/06. Anatomy of an API Call.mp4 13.9 MB
~Get Your Files Here !/06. Exploring Practical Applications of Working with the OpenAI API/03. Summarization.mp4 11.9 MB
~Get Your Files Here !/05. Mastering Prompt Engineering/05. The OpenAI Playground.mp4 11.8 MB
~Get Your Files Here !/3. Overview of Generative Pre-trained Transformer (GPT) Models/8. Demo From ChatGPT to OpenAI API.mp4 11.6 MB
~Get Your Files Here !/2. Introduction to Large Language Models (LLM) and OpenAI/4. Benefits, Challenges, Applications, Limitations, and E.mp4 11.4 MB
~Get Your Files Here !/7. Train your own ChatBot/5. Fine Tuning Models.mp4 11.4 MB
~Get Your Files Here !/04. Getting Started with OpenAI APIs/09. Using the Chat Completions API, Few Shot Learning, Zero Shot Learning, Obj.mp4 11.2 MB
~Get Your Files Here !/2. Introduction to Large Language Models (LLM) and OpenAI/6. ChatGPT Demo.mp4 10.6 MB
~Get Your Files Here !/7. Train your own ChatBot/1. Chatterbots, Chatbots, and the Future.mp4 9.6 MB
~Get Your Files Here !/04. Getting Started with OpenAI APIs/05. Using the OpenAI Python Library.mp4 9.3 MB
~Get Your Files Here !/04. Getting Started with OpenAI APIs/01. Lets Talk APIs.mp4 9.2 MB
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~Get Your Files Here !/06. Exploring Practical Applications of Working with the OpenAI API/04. Classification.mp4 8.8 MB
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~Get Your Files Here !/10. 10 Project/1. Building a Todo List App with Flask Leveraging Python and JavaScript for an Enh.mp4 113.7 MB
~Get Your Files Here !/4. Intermediate to Advanced Syntax and Concepts (Using chatGPT-4 and Gemini)/1. Lambda Functions and Functional Programming Techniques.mp4 90.9 MB
~Get Your Files Here !/6. Data Manipulation and Analysis Generative AI/3. Working with Data Sets and Performance Tuning.mp4 74.4 MB
~Get Your Files Here !/6. Data Manipulation and Analysis Generative AI/1. Advanced Data Manipulation with Pandas.mp4 72.6 MB
~Get Your Files Here !/8. Utilizing Python Libraries and Frameworks for Specialized Tasks/3. Advanced Web Development.mp4 69.7 MB
~Get Your Files Here !/4. Intermediate to Advanced Syntax and Concepts (Using chatGPT-4 and Gemini)/2. Threading, Multiprocessing, and Asynchronous Programming.mp4 68.2 MB
~Get Your Files Here !/1. Basic Python Programming Concepts and Generative AI/6. Generative AI (Chatgpt, Bard, Copilot, Git&Github copilot).mp4 68.0 MB
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~Get Your Files Here !/2. Leveraging Generative AI for Enhancing Python Skills/4. AI-Powered Code Review and Quality Analysis.mp4 61.8 MB
~Get Your Files Here !/3. Efficient Development Environment Setup/2. Profiling and Optimizing Python Code with Generative AI.mp4 61.5 MB
~Get Your Files Here !/2. Leveraging Generative AI for Enhancing Python Skills/1. Advanced Use of AI Code Completion Tools for Python.mp4 60.8 MB
~Get Your Files Here !/1. Basic Python Programming Concepts and Generative AI/3. Understanding of Python and installations.mp4 59.5 MB
~Get Your Files Here !/12. Advanced Resources and Continuing Education/3. Joining Python Developer Communities and Conferences.mp4 59.4 MB
~Get Your Files Here !/2. Leveraging Generative AI for Enhancing Python Skills/2. Integrating AI for Code Optimization and Refactoring.mp4 59.0 MB
~Get Your Files Here !/4. Intermediate to Advanced Syntax and Concepts (Using chatGPT-4 and Gemini)/3. Advanced Error and Exception Handling Techniques.mp4 53.9 MB
~Get Your Files Here !/3. Efficient Development Environment Setup/3. Debugging Techniques.mp4 50.1 MB
~Get Your Files Here !/1. Basic Python Programming Concepts and Generative AI/4. Basics of Python.mp4 47.4 MB
~Get Your Files Here !/7. Advanced Object-Oriented Programming in Python/1. Design Principles with Copilot.mp4 45.3 MB
~Get Your Files Here !/9. AI and Deep Learning with Python/1. Deep Learning Concepts and Frameworks.mp4 44.6 MB

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【压缩文件】 [DesireCourse.Com] Udemy - Advanced AI Deep Reinforcement Learning in Python

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【影视】 [UdemyCourseDownloader] Advanced AI Deep Reinforcement Learning in Python

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07 Appendix/044 Environment Setup.mp4 46.0 MB
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01 Introduction and Logistics/001 Introduction and Outline.mp4 16.6 MB
01 Introduction and Logistics/002 Where to get the Code.mp4 5.4 MB
01 Introduction and Logistics/003 How to Succeed in this Course.mp4 15.1 MB
02 Background Review/004 Review Intro.mp4 4.4 MB
02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
02 Background Review/006 Review of Dynamic Programming.mp4 6.8 MB
02 Background Review/007 Review of Monte Carlo Methods.mp4 6.5 MB
02 Background Review/008 Review of Temporal Difference Learning.mp4 7.5 MB
02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.8 MB
02 Background Review/010 Review of Deep Learning.mp4 11.6 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp4 9.1 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp4 10.8 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4 4.8 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.3 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 15.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
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