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【影视】 [OneHack.Us] Linkedin Learning - AI Orchestration Planning and Orchestrating for Observability

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5. Orchestrating for Observability/2. Instrumenting activity traces.mp4 45.4 MB
5. Orchestrating for Observability/4. Visualizing performance.mp4 45.0 MB
5. Orchestrating for Observability/1. Creating a simple orchestrated AI application.mp4 23.2 MB
5. Orchestrating for Observability/3. Evaluating the model.mp4 15.3 MB
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4. Planning for Observability/2. Picking an orchestration framework.mp4 8.8 MB
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【压缩文件】 Machine Learning A-Z™ Hands-On Python & R In Data Science

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【文档书籍】 Conceicao R. Mastering Java. 100+ Solved and Commented Exercises...Learning 2023

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【压缩文件】 Learning Adobe XD

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【影视】 Applied Deep Learning The Complete Self-Driving Car Course

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14. Behavioural Cloning/11. Generator - Augmentation Techniques.mp4 399.4 MB
12. Traffic Sign Classification/3. Preprocessing Images.mp4 346.4 MB
14. Behavioural Cloning/2. Collecting Data.mp4 296.1 MB
11. Convolutional Neural Networks/8. Code Implementation I.mp4 266.9 MB
14. Behavioural Cloning/13. Fit Generator.mp4 260.5 MB
9. Multiclass Classification/4. Implementation.mp4 257.2 MB
11. Convolutional Neural Networks/3. Convolutional Layer.mp4 241.0 MB
11. Convolutional Neural Networks/9. Code Implementation II.mp4 223.8 MB
8. Deep Neural Networks/7. Code Implementation.mp4 214.2 MB
14. Behavioural Cloning/7. Defining Nvidia Model.mp4 208.2 MB
10. MNIST Image Recognition/5. Implementation Part 1.mp4 203.4 MB
7. Keras/4. Keras Models.mp4 183.8 MB
14. Behavioural Cloning/10. Self Driving Car - Test 1.mp4 174.0 MB
5. Computer Vision Finding Lane-Lines/10. Optimizing.mp4 172.5 MB
11. Convolutional Neural Networks/5. Pooling.mp4 169.8 MB
14. Behavioural Cloning/6. Preprocessing Images.mp4 169.6 MB
12. Traffic Sign Classification/8. Fit Generator.mp4 167.6 MB
10. MNIST Image Recognition/6. Implementation Part 2.mp4 163.5 MB
15. Final Codes & Outputs/13. Simulation Output Results - Test Track.mp4 157.8 MB
7. Keras/5. Keras - Predictions.mp4 151.5 MB

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【影视】 Deep Learning with TensorFlow 2.0

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[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/104 Why is Linear Algebra Useful_.mp4 151.3 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/01 Welcome! Course introduction/001 Meet your instructors and why you should study machine learning_.mp4 110.9 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/085 Preprocessing the data.mp4 88.4 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/082 Exploring the dataset and identifying predictors.mp4 69.5 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/090 Setting an early stopping mechanism.mp4 52.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/096 Linear Algebra and Geometry.mp4 52.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/103 Dot Product of Matrices.mp4 51.8 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/074 Preprocess the data - shuffle and batch the data.mp4 43.6 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/078 Learning.mp4 42.9 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/016 N-parameter gradient descent.mp4 41.4 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/03 Setting up the working environment/023 Installing TensorFlow 2.mp4 40.6 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/010 The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/101 Transpose of a Matrix.mp4 39.9 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/05 TensorFlow - An introduction/035 Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 36.4 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/095 Scalars and Vectors.mp4 35.5 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/094 What is a Matrix_.mp4 35.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/05 TensorFlow - An introduction/031 TensorFlow outline.mp4 35.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/099 Addition and Subtraction of Matrices.mp4 34.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/03 Setting up the working environment/018 Why Python and why Jupyter_.mp4 33.6 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/089 Learning and interpreting the result.mp4 32.7 MB

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【影视】 [TutorialPace.com] [LINKEDIN LEARNING] Developing Investment Acumen - [TP]

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04.Move Your Investment Life Forward/04.12.Budgets Save and grow.mp4 19.4 MB
06.Stay on Track What Are Your To-Dos/06.20.What to do in a downturn.mp4 18.9 MB
03.Why Build Your Investment Acumen/03.07.Live with opportunity cost.mp4 18.8 MB
06.Stay on Track What Are Your To-Dos/06.17.Calculate fees Follow the money.mp4 18.6 MB
02.Investing for Life/02.04.Manage your risk over time.mp4 18.0 MB
06.Stay on Track What Are Your To-Dos/06.19.Revisit your property strategy.mp4 17.9 MB
04.Move Your Investment Life Forward/04.09.Investment accounts and tools.mp4 17.8 MB
06.Stay on Track What Are Your To-Dos/06.21.Keep your advisor or money manager relationship fresh.mp4 17.4 MB
01.Introduction/01.01.Start investing.mp4 16.6 MB
03.Why Build Your Investment Acumen/03.08.Investments and assets on the risk spectrum.mp4 16.6 MB
05.Read Your Statements and Measure Progress/05.16.Track progress vs. indices and public data.mp4 16.4 MB
04.Move Your Investment Life Forward/04.11.Allocating your money.mp4 16.3 MB
04.Move Your Investment Life Forward/04.13.How to select an advisor.mp4 16.3 MB
01.Introduction/01.02.Get an investment mind-set.mp4 16.1 MB
02.Investing for Life/02.05.Self-directed or managed account.mp4 15.9 MB
02.Investing for Life/02.03.How investing buys options.mp4 15.1 MB
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【压缩文件】 Machine Learning with Python Data Science for Beginners

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【压缩文件】 [ FreeCourseWeb.com ] Egghead - Introductory Machine Learning Algorithms in Python with scikit-learn.zip

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【压缩文件】 [ FreeCourseWeb.com ] Learn Machine Learning - Hands On ML Projects Bootcamp 2021.zip

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【压缩文件】 [ FreeCourseWeb.com ] Oreilly - Python Application Series- Machine Learning Using Tensorflow.zip

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【压缩文件】 [FreeCourseSite.com] Udemy - [2022] Machine Learning and Deep Learning Bootcamp in Python

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54 - COURSE MATERIALS (DOWNLOADS)/001 PythonMachineLearning.zip 592.6 MB
33 - Q Learning Implementation (Tic Tac Toe)/006 Tic tac toe with Q learning implementation VI.mp4 104.3 MB
45 - You Only Look Once (YOLO) Algorithm Implementation/005 YOLO algorithm implementation V.mp4 100.5 MB
05 - Linear Regression/004 Linear regression implementation I.mp4 95.2 MB
19 - Single Layer Networks Implementation/002 Simple neural network implementation - Iris dataset.mp4 89.1 MB
09 - Naive Bayes Classifier/006 Naive Bayes example - clustering news.mp4 82.7 MB
35 - Deep Q Learning Implementation (Tic Tac Toe)/003 Tic Tac Toe with deep Q learning implementation III.mp4 77.9 MB
40 - Face Detection with Viola-Jones Method Implementation/002 Face detection implementation II - CascadeClassifier.mp4 74.1 MB
46 - Single-Shot MultiBox Detector (SSD) Theory/003 Bounding boxes and anchor boxes.mp4 74.0 MB
45 - You Only Look Once (YOLO) Algorithm Implementation/004 YOLO algorithm implementation IV.mp4 73.1 MB
38 - Computer Vision Project I - Lane Detection Problem (Self-Driving Cars)/005 Getting the useful region of the image - masking.mp4 67.9 MB
16 - Machine Learning Project I - Face Recognition/004 Understanding eigenfaces.mp4 66.0 MB
43 - Convolutional Neural Networks (CNNs) Based Approaches/002 Region proposals and convolutional neural networks (CNNs).mp4 63.6 MB
26 - Machine Learning Project III - Identifying Objects with CNNs/004 Tuning the parameters - regularization.mp4 63.4 MB
06 - Logistic Regression/004 Logistic regression example II- credit scoring.mp4 61.4 MB
25 - Convolutional Neural Networks (CNNs) Implementation/002 Handwritten digit classification II.mp4 58.3 MB
25 - Convolutional Neural Networks (CNNs) Implementation/001 Handwritten digit classification I.mp4 57.0 MB
42 - Histogram of Oriented Gradients (HOG) Implementation/001 Showing the HOG features programatically.mp4 56.0 MB
31 - Exploration vs. Exploitation Problem/003 N-armed bandit problem implementation.mp4 55.9 MB
42 - Histogram of Oriented Gradients (HOG) Implementation/003 Face detection with HOG implementation II.mp4 54.9 MB

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