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【影视】 Coursera - Introduction to Machine Learning 2024-3

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04_recurrent-neural-networks-for-natural-language-processing/04_alternative-approaches/01_simple-and-effective-alternative-methods-for-neural-nlp.mp4 47.6 MB
04_recurrent-neural-networks-for-natural-language-processing/01_word-embeddings/03_example-of-word-embeddings.mp4 47.5 MB
06_introduction-to-reinforcement-learning/01_reinforcement-learning/03_example-of-reinforcement-learning-in-practice.mp4 46.2 MB
02_basics-of-model-learning/01_logistic-regression-as-running-example/01_how-do-we-define-learning.mp4 43.0 MB
04_recurrent-neural-networks-for-natural-language-processing/03_recurrent-neural-networks-and-long-short-term-memory/02_long-short-term-memory.mp4 40.2 MB
04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/01_neural-model-of-text.mp4 39.1 MB
06_introduction-to-reinforcement-learning/02_q-learning/03_extensions-of-q-learning.mp4 35.1 MB
05_the-transformer-network-for-natural-language-processing/02_attention-mechanism/03_self-attention-and-positional-encodings.mp4 34.9 MB
06_introduction-to-reinforcement-learning/01_reinforcement-learning/02_reinforcement-learning-problem-setup.mp4 32.5 MB
06_introduction-to-reinforcement-learning/03_deep-q-learning/02_deep-q-learning-based-on-images.mp4 30.7 MB
02_basics-of-model-learning/02_learning-via-gradient-descent/02_how-do-we-handle-big-data.mp4 29.7 MB
05_the-transformer-network-for-natural-language-processing/04_the-transformer-network/02_the-complete-transformer-network.mp4 29.3 MB
01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/02_applications-in-use-and-practice.mp4 28.8 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/11_early-history-of-neural-networks.mp4 28.7 MB
01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/01_cnn-on-real-images.mp4 26.8 MB
02_basics-of-model-learning/01_logistic-regression-as-running-example/02_how-do-we-evaluate-our-networks.mp4 26.8 MB
05_the-transformer-network-for-natural-language-processing/03_sequence-to-sequence-encoder-and-decoder/02_coupling-the-sequence-encoder-and-decoder.mp4 26.0 MB
04_recurrent-neural-networks-for-natural-language-processing/03_recurrent-neural-networks-and-long-short-term-memory/03_long-short-term-memory-review.mp4 25.8 MB
01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/03_deep-learning-and-transfer-learning.mp4 24.4 MB
06_introduction-to-reinforcement-learning/03_deep-q-learning/03_connecting-deep-q-learning-with-conventional-q-learning.mp4 23.2 MB

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【影视】 Udemy - AWS Certified Machine Learning Specialty 2023 - Hands On!

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03 - Exploratory Data Analysis/021 Lab Preparing Data for TF-IDF with Spark and EMR, Part 3.mp4 125.6 MB
03 - Exploratory Data Analysis/020 Lab Preparing Data for TF-IDF with Spark and EMR, Part 2.mp4 103.7 MB
05 - Modeling, Part 2 Amazon SageMaker/027 SageMaker Canvas.mp4 83.4 MB
01 - Introduction/002 Course Introduction What to Expect.mp4 82.0 MB
02 - Data Engineering/011 Lab 1.2 - Kinesis Data Analytics.mp4 78.9 MB
08 - ML Implementation and Operations/012 Lab Tuning, Deploying, and Predicting with Tensorflow on SageMaker - Part 3.mp4 76.5 MB
03 - Exploratory Data Analysis/003 Example Preparing Data for Machine Learning in a Jupyter Notebook.mp4 76.5 MB
07 - Modeling, Part 4 Wrapping up & Lab Activity/003 Lab Tuning a Convolutional Neural Network on EC2, Part 2.mp4 76.3 MB
09 - Wrapping Up/003 Test-Taking Strategies, and What to Expect.mp4 75.6 MB
07 - Modeling, Part 4 Wrapping up & Lab Activity/002 Lab Tuning a Convolutional Neural Network on EC2, Part 1.mp4 60.8 MB
05 - Modeling, Part 2 Amazon SageMaker/019 Reinforcement Learning in SageMaker.mp4 56.3 MB
03 - Exploratory Data Analysis/014 Imputing Missing Data.mp4 55.9 MB
05 - Modeling, Part 2 Amazon SageMaker/001 Introducing Amazon SageMaker.mp4 53.8 MB
06 - Modeling, Part 3 High-Level ML Services/005 Amazon Rekognition.mp4 53.0 MB
08 - ML Implementation and Operations/002 SageMaker's Inner Details and Production Variants.mp4 53.0 MB
04 - Modeling, Part 1 General Deep Learning and Machine Learning/004 Convolutional Neural Networks.mp4 51.7 MB
06 - Modeling, Part 3 High-Level ML Services/008 Amazon Personalize.mp4 46.9 MB
07 - Modeling, Part 4 Wrapping up & Lab Activity/004 Lab Tuning a Convolutional Neural Network on EC2, Part 3.mp4 44.5 MB
04 - Modeling, Part 1 General Deep Learning and Machine Learning/001 Section Intro Modeling.mp4 42.3 MB
03 - Exploratory Data Analysis/017 Binning, Transforming, Encoding, Scaling, and Shuffling.mp4 42.2 MB

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【影视】 [FreeCourseSite.com] Udemy - Introduction to Machine Learning for Data Science

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10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Foundations of Machine Learning and Data Science - Algorithms, concepts and more.mp4 127.2 MB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Introduction and Setup.mp4 125.6 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/4. A Titanic Example - Preparing the right data and applying a basic algorithm.mp4 120.1 MB
13. Section 7 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Conclusions - for our Titanic Example, important concepts and where to go next!.mp4 106.3 MB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Pandas and Matplotlib.mp4 103.8 MB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. What will we cover!.mp4 101.0 MB
9. Section 3 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Hands on Running Python.mp4 100.0 MB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introducing the essential modules for Machine Learning, and NumPy Basics.mp4 99.5 MB
10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Foundations of Machine Learning and Data Science - Definitions and concepts..mp4 99.0 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. A Titanic Example - Getting our start..mp4 93.1 MB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn.mp4 87.8 MB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introduction and Anaconda Installation.mp4 81.6 MB
10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Foundations of Machine Learning and Data Science - Machine Learning Workflow.mp4 79.3 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. A Titanic Example - Understanding the data set..mp4 77.0 MB
3. Impacts, Importance and examples/3. Computers exploding! - The explosive growth of computer power explained..mp4 76.0 MB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Crash course in Python - Strings, Slices and Lists!.mp4 70.7 MB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Crash course in Python - Beginning concepts.mp4 64.6 MB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/4. Crash course in Python - Functions, Scope, Dictionaries and more!.mp4 59.8 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/6. A Titanic Example - Applying Decision Trees (example of overfit and underfit).mp4 58.9 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. A Titanic Example - Understanding the data set in regards to survival.mp4 57.4 MB

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New.LegalPorno.Roxy.Muray.A.Young.Student.Does.Not.Do.Well.With.Learning.Italian.But.She.Gets.An.Italian.Dick.Better.30.01.2025.Anal.Hardcore.Roughsex.ILUVY.https.lulustream.com.0q7us1ik1hiq.https.bigwarp.io.embed.wpqwsk6140g7.html.mp4 583.4 MB

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【影视】 Learning.to.Drive.2014.BRRip.x264.AC3.BGAUDiO-SiSO

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【影视】 teenslovehugecocks.20.07.12.kendra.heart.learning.curve.720p.mp4

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【其他】 Learning React Native Building Native Mobile Apps with JavaScript

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【压缩文件】 Machine Learning Made Easy - Beginner to Advanced using R

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Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/1.3 Section 2. Data Handling Dataset.zip.zip 42.6 MB
Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/1.2 Section 3. R Basic Statistics Dataset.zip.zip 39.0 MB
Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/12. Tree Building and Model Selection.mp4 38.9 MB
Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/8. The Decision Tree Lab - Part 3 & Overfitting.mp4 38.5 MB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/4. R Data types Vectors.mp4 33.3 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/7. Step two Lab Categorical Variable Exploration.mp4 31.4 MB
Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/11. Boosting Lab.mp4 30.7 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/8. Step three Lab Variable Level Exploration Continues.mp4 30.3 MB
Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/6. Split for Variable & The Decision Tree Lab - Part 1.mp4 29.9 MB
Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/7. Overfitting Underfitting.mp4 29.9 MB
Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/4. Non Linear Decision Boundary and Solution.mp4 29.8 MB
Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/3. The Splitting Criterion & Entropy Calculation.mp4 29.1 MB
Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/7. The Decision Tree Lab - Part 2 & Validation.mp4 28.7 MB
Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/1. Introduction and Correlation.mp4 28.6 MB
Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/5. R Data Frames.mp4 28.3 MB
Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/7. Kmeans Clustering on R.mp4 27.4 MB
Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/8. More on Kmeans.mp4 26.9 MB
Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/6. Reading Data Dictionary.mp4 26.9 MB
Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/2. The Decision Tree Philosophy & The Decision Tree Approach.mp4 26.6 MB
Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/11. Lab Digit Reconizer.mp4 26.0 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python

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6. Setting Up Your Environment (FAQ by Student Request)/1. Anaconda Environment Setup.mp4 195.3 MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
1. Welcome/3. Statistics vs. Machine Learning.mp4 58.2 MB
6. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
1. Welcome/2. How to Succeed in this Course.mp4 46.0 MB
1. Welcome/1. Introduction and Outline.mp4 44.8 MB
8/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
9. Appendix FAQ Finale/2. BONUS.mp4 39.7 MB
8/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
8/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
2. 1-D Linear Regression Theory and Code/4. Define the model in 1-D, derive the solution.mp4 25.9 MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/11. Moore's Law Derivation.mp4 21.2 MB
2. 1-D Linear Regression Theory and Code/3. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
8/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
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【影视】 LinkedIn Learning - Advance Your Skills in Python - Complete 7 Courses

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3. Python Data Structures and Algorithms/2 - The Stack Data Structure/2. Build a stack class in Python.mp4 43.1 MB
3. Python Data Structures and Algorithms/4 - Depth-First Search Algorithm/4. Code a depth-first search in Python.mp4 38.2 MB
3. Python Data Structures and Algorithms/5 - The Queue Data Structure/2. Build a queue class in Python.mp4 26.4 MB
3. Python Data Structures and Algorithms/6 - The Breadth-First Search Algorithm/3. Code a breadth-first search in Python.mp4 26.1 MB
5. Python GUI Development with Tkinter/0 - Introduction/1. Create a GUI for your Python desktop application.mp4 25.6 MB
3. Python Data Structures and Algorithms/8 - The A Search Algorithm/3. Code the A algorithm in Python.mp4 25.2 MB
3. Python Data Structures and Algorithms/7 - The Priority Queue Data Structure/2. Use the heap module to implement a priority queue.mp4 22.3 MB
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3. Python Data Structures and Algorithms/8 - The A Search Algorithm/2. Visualize the A algorithm.mp4 20.5 MB
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7. Build Three Real-World Python Applications/3 - Text Analysis on Great Expectations Novel/8. How to perform Vader sentiment analysis.mp4 16.8 MB
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4. Python Automation and Testing/2 - Parsing the HTML DOM Structure/9. Solution.mp4 16.5 MB
4. Python Automation and Testing/2 - Parsing the HTML DOM Structure/7. Solution.mp4 16.2 MB
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【影视】 [FreeTutorials.Eu] [UDEMY] Projects in Machine Learning Beginner To Professional - FTU]

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10. Project 5 Object Recognition/1.1 Object Recognition/Object Recognition/Object Recognition (HTML Notebook).html 408.2 kB
10. Project 5 Object Recognition/1.1 Object Recognition/Object Recognition/Object Recognition (Jupyter Notebook).ipynb 135.4 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/baboon.png 808.3 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/baby_GT.png 587.7 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/barbara.png 644.6 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/bird_GT.png 431.9 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/butterfly_GT.png 451.5 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/coastguard.png 412.3 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/comic.png 632.7 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/face.png 389.4 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/flowers.png 527.3 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/foreman.png 381.7 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/head_GT.png 394.6 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/lenna.png 612.6 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/monarch.png 470.8 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/pepper.png 669.7 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/ppt3.png 443.1 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/woman_GT.png 425.7 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution/results/zebra.png 544.1 kB
12. Project 7 Text Classification/1.1 Text Classification/Text Classification/NLP for Text Classification (HTML).html 301.0 kB

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【文档书籍】 Bernstein P. Machine Learning.Architecture in the age of AI 2022

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【影视】 [ TutGator.com ] Linkedin - Azure Machine Learning Development - Part 2

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~Get Your Files Here !/05 - 4. Using the Azure ML Designer Feature/02 - Train a linear regression model.mp4 27.1 MB
~Get Your Files Here !/04 - 3. Automated Machine Learning/02 - How to use automated ML.mp4 20.3 MB
~Get Your Files Here !/06 - 5. Author a Notebook/02 - Run a Python script.mp4 18.5 MB
~Get Your Files Here !/02 - 1. Azure Machine Learning/03 - Machine learning algorithms.mp4 14.4 MB
~Get Your Files Here !/02 - 1. Azure Machine Learning/04 - Machine learning lifecycle.mp4 14.1 MB
~Get Your Files Here !/03 - 2. Getting Started with Azure Machine Learning/02 - Azure Machine Learning Studio walkthrough.mp4 13.3 MB
~Get Your Files Here !/06 - 5. Author a Notebook/03 - Train your ML model.mp4 12.9 MB
~Get Your Files Here !/02 - 1. Azure Machine Learning/01 - What is machine learning.mp4 12.2 MB
~Get Your Files Here !/05 - 4. Using the Azure ML Designer Feature/01 - What is Azure Machine Learning designer.mp4 9.0 MB
~Get Your Files Here !/02 - 1. Azure Machine Learning/02 - What is Azure machine learning.mp4 8.2 MB
~Get Your Files Here !/03 - 2. Getting Started with Azure Machine Learning/01 - Creating a workspace.mp4 7.6 MB
~Get Your Files Here !/06 - 5. Author a Notebook/01 - Authoring a notebook with Azure ML.mp4 6.9 MB
~Get Your Files Here !/04 - 3. Automated Machine Learning/01 - What is automated ML.mp4 6.9 MB
~Get Your Files Here !/05 - 4. Using the Azure ML Designer Feature/03 - Deploy the linear regression model.mp4 4.9 MB
~Get Your Files Here !/01 - Introduction/01 - Importance of Azure machine learning development.mp4 4.4 MB
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