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【其他】 Franklin U 6 - Learning Curve - N.R. Walker

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【影视】 Learning the Cisco Application-Centric Infrastructure (ACI)

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Chapter 6 Secured External Connectivity with L3OUTs/001. External L3OUT with BGP.mp4 102.0 MB
Chapter 6 Secured External Connectivity with L3OUTs/003. Tenants to L3OUT Part One.mp4 90.2 MB
Chapter 8 Automation and Orchestration with ACI/003. Bulk ACI Tenant Automation using Python Loops.mp4 82.9 MB
Chapter 7 Layer 2 Through Layer 7 Service Insertion/001. External L2OUT.mp4 82.0 MB
Chapter 1 Introduction to Application Centric Infrastructure (ACI)/002. Spine and Leaf Architecture.mp4 81.8 MB
Chapter 6 Secured External Connectivity with L3OUTs/002. External L3OUT with OSPF.mp4 79.6 MB
Chapter 4 Multi-Tenancy ACI's Ultimate Weapon/004. ACI Domains to Tenant Relationship.mp4 78.2 MB
Chapter 7 Layer 2 Through Layer 7 Service Insertion/003. DHCP Services In ACI.mp4 76.6 MB
Chapter 7 Layer 2 Through Layer 7 Service Insertion/005. Adding Routed Firewalls in ACI.mp4 75.5 MB
Chapter 3 Enabling Connectivity in ACI/006. Virtual Machine Manager Integration in ACI.mp4 74.5 MB
Chapter 2 Let's Bring the ACI Fabric to Life/004. ACI APIC Web User Interface.mp4 71.3 MB
Chapter 1 Introduction to Application Centric Infrastructure (ACI)/003. ACI Fabric Components.mp4 68.4 MB
Chapter 5 Secured Internal Connectivity In ACI/003. Inter and Intra Tenant Communications and Contract Interfaces.mp4 66.8 MB
Chapter 6 Secured External Connectivity with L3OUTs/004. Tenants to L3OUT Part Two.mp4 66.3 MB
Chapter 8 Automation and Orchestration with ACI/001. Rest API with ACI Toolkit.mp4 62.8 MB
Chapter 4 Multi-Tenancy ACI's Ultimate Weapon/002. Application Profiles and Endpoint Groups.mp4 60.1 MB
Chapter 3 Enabling Connectivity in ACI/001. Interface Policy Groups, Profiles, and Policies.mp4 59.8 MB
Chapter 4 Multi-Tenancy ACI's Ultimate Weapon/003. Subjects, Filters, and Contracts.mp4 59.0 MB
Chapter 3 Enabling Connectivity in ACI/003. Fabric Domains and VLAN Pools.mp4 58.0 MB
Chapter 7 Layer 2 Through Layer 7 Service Insertion/002. Vlan Stitching.mp4 57.8 MB

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【影视】 Lynda - Teaching Fundamentals: Project-Based Learning

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004 Project-focused content and standards.mp4 35.9 MB
010 Summative assessment of the final product.mp4 32.0 MB
007 The student investigation.mp4 31.9 MB
006 The project launch.mp4 27.4 MB
008 Scaffolding during the project process.mp4 25.1 MB
009 Formatively assessing the project process.mp4 23.7 MB
011 Goal setting in a collaborative setting.mp4 23.7 MB
005 Choosing the right final product and audience.mp4 22.7 MB
003 Writing the project challenge.mp4 21.9 MB
001 Welcome.mp4 7.5 MB
002 What is project-based learning.mp4 6.4 MB
012 Next steps.mp4 5.5 MB

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【影视】 Cindy Shine - Learning Is Pleasure _sd.mp4

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【影视】 [ DevCourseWeb.com ] Applied Machine Learning - Algorithms (2024)

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~Get Your Files Here !/02 - 1. Clustering/03 - Understanding clusters.mp4 20.0 MB
~Get Your Files Here !/02 - 1. Clustering/01 - K-means.mp4 19.3 MB
~Get Your Files Here !/02 - 1. Clustering/02 - K evaluation.mp4 18.7 MB
~Get Your Files Here !/02 - 1. Clustering/06 - Solution Apply KNN.mp4 16.5 MB
~Get Your Files Here !/06 - 5. Decision Trees/02 - Real-world example.mp4 16.3 MB
~Get Your Files Here !/04 - 3. Linear Regression/04 - Assumptions.mp4 15.1 MB
~Get Your Files Here !/04 - 3. Linear Regression/03 - Real-world example.mp4 13.9 MB
~Get Your Files Here !/03 - 2. PCA/03 - Components.mp4 12.6 MB
~Get Your Files Here !/03 - 2. PCA/07 - Solution Utilize PCA.mp4 11.7 MB
~Get Your Files Here !/05 - 4. Logistic Regression/05 - Solution Construct a logistic regression model.mp4 11.4 MB
~Get Your Files Here !/04 - 3. Linear Regression/01 - Linear regression algorithm.mp4 10.1 MB
~Get Your Files Here !/05 - 4. Logistic Regression/03 - Assumptions.mp4 9.9 MB
~Get Your Files Here !/06 - 5. Decision Trees/05 - Solution Design a decision tree model.mp4 9.5 MB
~Get Your Files Here !/06 - 5. Decision Trees/01 - Decision tree algorithm.mp4 9.4 MB
~Get Your Files Here !/03 - 2. PCA/02 - Structure of components.mp4 9.4 MB
~Get Your Files Here !/03 - 2. PCA/01 - PCA.mp4 8.7 MB
~Get Your Files Here !/06 - 5. Decision Trees/03 - Random Forest and XGBoost.mp4 8.6 MB
~Get Your Files Here !/04 - 3. Linear Regression/02 - scikit-learn.mp4 8.4 MB
~Get Your Files Here !/03 - 2. PCA/05 - Other algorithms.mp4 8.0 MB
~Get Your Files Here !/07 - Conclusion/01 - Next steps.mp4 6.9 MB

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【影视】 [ FreeCourseWeb.com ] Udemy - Advanced Reinforcement Learning - policy gradient methods

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~Get Your Files Here !/10 - Advantage Actor Critic (A2C)/001 A2C.mp4 52.5 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/005 Stochastic Gradient Descent.mp4 52.3 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/001 Elements common to all control tasks.mp4 40.6 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/004 How to represent a Neural Network.mp4 40.0 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/001 Function approximators.mp4 38.1 MB
~Get Your Files Here !/08 - PyTorch Lightning/001 PyTorch Lightning.mp4 33.6 MB
~Get Your Files Here !/05 - Refresher N-step bootstrapping/003 Effect of changing n.mp4 29.4 MB
~Get Your Files Here !/07 - Refresher REINFORCE/002 Representing policies using neural networks.mp4 29.1 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/003 Artificial Neurons.mp4 26.9 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/002 The Markov decision process (MDP).mp4 26.3 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/002 Artificial Neural Networks.mp4 25.5 MB
~Get Your Files Here !/03 - Refresher Monte Carlo methods/002 Solving control tasks with Monte Carlo methods.mp4 24.9 MB
~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/006 Neural Network optimization.mp4 24.5 MB
~Get Your Files Here !/07 - Refresher REINFORCE/007 Entropy regularization.mp4 24.3 MB
~Get Your Files Here !/07 - Refresher REINFORCE/001 Policy gradient methods.mp4 22.7 MB
~Get Your Files Here !/03 - Refresher Monte Carlo methods/003 On-policy Monte Carlo control.mp4 21.4 MB
~Get Your Files Here !/04 - Refresher Temporal difference methods/004 SARSA.mp4 18.6 MB
~Get Your Files Here !/07 - Refresher REINFORCE/004 The policy gradient theorem.mp4 16.7 MB
~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/006 Discount factor.mp4 15.5 MB
~Get Your Files Here !/04 - Refresher Temporal difference methods/002 Solving control tasks with temporal difference methods.mp4 15.2 MB

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【压缩文件】 [DesireCourse.Com] Udemy - Deep Learning Prerequisites Linear Regression in Python

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[DesireCourse.Com] Udemy - Deep Learning Prerequisites Linear Regression in Python.zip 352.9 MB
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【影视】 FamilyTherapyXXX.21.02.09.Electra.Rayne.Learning.Curve.XXX.720p.HEVC.x265.PRT

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【文档书籍】 Make Electronics - Learning Through Discovery - 2nd Edition (2015) (Pdf & Epub) Gooner

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Make Electronics - 2nd Ed (2015).epub 76.2 MB
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【影视】 [Udemy] Deep Learning Prerequisites The Numpy Stack in Python (V2+) (2020) [En]

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8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
7. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
2. Numpy (New)/7. Generating Data.mp4 66.2 MB
7. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
7. Machine Learning Basics/5. Regression in Code.mp4 64.9 MB
1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
2. Numpy (New)/5. Matrices.mp4 60.0 MB
2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
7. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
5. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
7. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
2. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB

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【影视】 [BackroomCastingCouch] Rissa - Learning The Hard Way - 06.05.23 [1080p x265]

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[BackroomCastingCouch] Rissa - Learning The Hard Way - 06.05.23 - 1080p - x265.mp4 932.3 MB
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【文档书籍】 Ask and It Is Given - Learning to Manifest Your Desires.pdf

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Ask and It Is Given - Learning to Manifest Your Desires.pdf 116.7 MB

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【影视】 Linkedin Learning Unreal Engine 5 Essential Training

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7. Enhancing the Scene/2. Adding foliage.mp4 46.6 MB
8. Lighting and Rendering/3. Additional light types.mp4 40.6 MB
10. Cinematics/2. Using Sequencer to animate cameras.mp4 36.7 MB
8. Lighting and Rendering/4. Volumes and post-processing.mp4 34.8 MB
6. Materials/5. Transparency effects.mp4 32.1 MB
8. Lighting and Rendering/2. HDRI lighting and environments.mp4 32.0 MB
8. Lighting and Rendering/6. Atmospheric effects.mp4 31.7 MB
5. Working with Meshes/2. Optimization and LODs.mp4 30.6 MB
9. Interactivity/3. Variant Manager to swap elements.mp4 30.6 MB
8. Lighting and Rendering/1. Environmental lighting.mp4 29.4 MB
9. Interactivity/2. Adding a blueprint character.mp4 28.9 MB
3. Manipulating the Level/3. Outliner and organization.mp4 25.7 MB
6. Materials/3. Creating materials.mp4 24.9 MB
8. Lighting and Rendering/5. Controlling render features.mp4 23.8 MB
6. Materials/4. Editing material nodes.mp4 23.7 MB
6. Materials/1. Applying materials.mp4 23.7 MB
7. Enhancing the Scene/1. Creating landscapes.mp4 23.5 MB
3. Manipulating the Level/2. Selecting objects.mp4 23.0 MB
5. Working with Meshes/5. Modeling tools.mp4 21.7 MB
7. Enhancing the Scene/3. Quixel assets.mp4 21.5 MB

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【文档书籍】 machine learning artificial intelligence books collection

收录时间:2024-01-11 文档个数:77 文档大小:761.5 MB 最近下载:2025-05-16 人气:4777 磁力链接

Probabilistic Machine Learning: Advanced Topics [Kevin P. Murphy] - The MIT Press (2023).pdf 152.3 MB
Probabilistic Machine Learning: An Introduction [Kevin P. Murphy] - The MIT Press (2022).pdf 84.2 MB
Michael I. Jordan (Editor) - Learning in Graphical Models (Adaptive Computation and Machine Learning) (1998).pdf 59.6 MB
Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai - Machine Learning from Weak Supervision_ An Empirical Risk Minimization Approach (2022, The MIT Press) - li.pdf 38.9 MB
Stuart J. Russell, Peter Norvig - Artificial Intelligence_ A Modern Approach, Global Edition (2021, Pearson) - libgen.li.pdf 34.1 MB
Stuart Russell, Peter Norvig - Artificial Intelligence_ A Modern Approach, Fourth Global Edition [4th Ed] (Instructor Res. n. last of 2, Lectures) (2021, Pearson Education Limited) - libgen.li.7z 32.0 MB
Machine Learning: A Probabilistic Perspective [Kevin P. Murphy] - The MIT Press (2012).pdf 26.9 MB
Gilbert Strang - Linear Algebra and Learning from Data (2019, Wellesley-Cambridge Press).pdf 26.3 MB
Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar - Foundations of Machine Learning, Second Edition [2nd Ed] (Instructor Res. n. 2 of 3, Lectures) (2018, The MIT Press) - .7z 25.2 MB
Jonas Peters, Dominik Janzing, Bernhard Schölkopf - Elements of Causal Inference_ Foundations and Learning Algorithms-The MIT Press (2017).pdf 22.0 MB
Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer, Francis Bach - Machine Learning for Data Streams_ with Practical Examples in MOA.pdf 21.9 MB
An Introduction to Statistical Learning With Applications in Python [Robert Tibshirani,Jonathan Taylor] First Print July 2023.pdf 20.1 MB
Deep learning [Yoshua Bengio,Aaron Courville, Ian Goodfellow] - The MIT Press (2016) .pdf 19.3 MB
Pattern Recognition and Machine Learning [Christopher Bishop] (2006).pdf 18.1 MB
Freund, Yoav_Schapire, Robert E - Boosting foundations and algorithms-MIT Press (2012).pdf 16.3 MB
Elad Hazan - Introduction to Online Convex Optimization-The MIT Press (2022).epub 15.2 MB
Marc G. Bellemare - Distributional Reinforcement Learning - MIT Press (2023).epub 14.0 MB
Ethem Alpaydin - Introduction to Machine Learning (2020, The MIT Press) - libgen.li.pdf 13.5 MB
[Springer Series in Statistics] Trevor Hastie, Robert Tibshirani, Jerome Friedman - The Elements of Statistical Learning_ Data Mining, Inference, and Prediction. (2013, Springer).pdf 13.3 MB
Stuart Russell, Peter Norvig - Artificial Intelligence_ A Modern Approach, Fourth Global Edition [4th Ed] (Instructor Res. n. 1 of 2, Solution Manual, Solutions)-Pearson Education Limited (2021).7z 13.0 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Machine Learning, Deep Learning and Bayesian Learning

收录时间:2022-03-12 文档个数:373 文档大小:5.9 GB 最近下载:2025-05-16 人气:1416 磁力链接

03 - Machine Learning Numpy + Scikit Learn/012 CART part 2.mp4 174.6 MB
12 - Pixel Level Segmentation (Semantic Segmentation) with PyTorch/009 Semantic Segmentation training with PyTorch Lightning.mp4 136.5 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/005 Titanic dataset.mp4 122.0 MB
09 - Deep Learning Recurrent Neural Nets/010 Sequence to Sequence models Prediction step.mp4 109.8 MB
13 - Deep Learning Transformers and BERT/008 Pytorch Lightning + DistilBERT for classification.mp4 107.7 MB
05 - Unsupervised Learning/002 Fashion MNIST PCA.mp4 107.1 MB
09 - Deep Learning Recurrent Neural Nets/005 Deep Learning - Long Short Term Memory (LSTM) Nets.mp4 95.4 MB
03 - Machine Learning Numpy + Scikit Learn/009 Linear Regresson Part 1.mp4 94.9 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/007 Sklearn classification.mp4 94.4 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/019 Area Under Curve (AUC) Part 1.mp4 88.2 MB
09 - Deep Learning Recurrent Neural Nets/008 Sequence to Sequence Introduction + Data Prep.mp4 84.0 MB
10 - Deep Learning PyTorch Introduction/006 Deep Learning with Pytorch Stochastic Gradient Descent.mp4 83.3 MB
03 - Machine Learning Numpy + Scikit Learn/004 Kmeans part 1.mp4 82.2 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/012 FB Prophet part 1.mp4 81.8 MB
06 - Natural Language Processing + Regularization/009 Feature Extraction with Spacy (using Pandas).mp4 80.2 MB
09 - Deep Learning Recurrent Neural Nets/007 Transfer Learning - GLOVE vectors.mp4 78.2 MB
03 - Machine Learning Numpy + Scikit Learn/010 Linear Regression Part 2.mp4 75.0 MB
14 - Bayesian Learning and probabilistic programming/005 Coin Toss Example with Pymc3.mp4 74.1 MB
14 - Bayesian Learning and probabilistic programming/004 Bayesian learning Population estimation pymc3 way.mp4 74.0 MB
08 - Deep Learning (TensorFlow) - Convolutional Neural Nets/008 Nose Tip detection with CNNs.mp4 72.0 MB

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