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- 【影视】 [CourseClub.Me] ACloudGuru - AWS Certified Machine Learning – Specialty 2019
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收录时间:2024-11-22
文档个数:167
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07 Algorithms/014 Algorithms Lab.mp4 205.5 MB
08 Evaluation and Optimization/007 Evaluation and Optimization Lab.mp4 172.3 MB
09 Implementation and Operations/009 Implementation and Operations Lab.mp4 172.1 MB
05 Data Analysis and Visualization/009 Data Analysis and Visualization Lab.mp4 157.2 MB
06 Modeling/007 Modeling Lab.mp4 151.0 MB
03 Streaming Data Collection/008 Streaming Data Collection Lab.mp4 131.6 MB
04 Data Preparation/011 Data Preparation Lab.mp4 109.0 MB
01 Introduction/003 About This Course.mp4 88.5 MB
01 Introduction/002 About The Exam.mp4 65.0 MB
04 Data Preparation/004 Text Feature Engineering.mp4 61.4 MB
02 Data Collection/004 Machine Learning Data Terminology.mp4 60.0 MB
04 Data Preparation/009 Helper Tools.mp4 56.0 MB
07 Algorithms/002 OPTIONAL - Why do we call them Algorithms.mp4 52.1 MB
06 Modeling/004 SageMaker Modeling.mp4 51.2 MB
07 Algorithms/003 Concepts.mp4 49.6 MB
07 Algorithms/004 Regression.mp4 48.5 MB
03 Streaming Data Collection/003 Kinesis Data Streams.mp4 47.8 MB
08 Evaluation and Optimization/004 Evaluating Model Accuracy.mp4 47.2 MB
09 Implementation and Operations/006 Security.mp4 45.7 MB
09 Implementation and Operations/002 Concepts.mp4 45.2 MB
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- 【影视】 Lynda - Become a Linux System Administrator Learning-path [AhLaN]
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收录时间:2021-03-14
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Lynda - Linux - Storage Systems [AhLaN]/2 - 1. Disk Partitions, Formatting, and Mounting/09 - Mount file systems during boot.mp4 31.6 MB
Lynda - Linux - Desktops and Remote Access [AhLaN]/3 - 2. GUI Remote Access/18 - Troubleshoot VNC.mp4 26.5 MB
Lynda - Linux - Storage Systems [AhLaN]/4 - 3. Security and Resource Constraints/23 - Using SUID, attributes, and read-only.mp4 25.5 MB
Lynda - Linux - Package Management for CentOS [AhLaN]/4 - 3. Manage Packages with Yum/27 - Manage OS updates.mp4 24.3 MB
Lynda - Learning Linux Command Line [AhLaN]/4 - 3. Files, Folders, and Permissions/20 - File permissions.mp4 24.0 MB
Lynda - Linux - Kernels and Logging for System Administration [AhLaN]/1 - 1. The Linux Boot Loader/06 - Booting into the emergency target.mp4 22.7 MB
Lynda - Linux - Storage Systems [AhLaN]/4 - 3. Security and Resource Constraints/19 - Restore default SELinux file contexts.mp4 22.7 MB
Lynda - Learning Linux Command Line [AhLaN]/4 - 3. Files, Folders, and Permissions/17 - Copy, move, and delete files and folders.mp4 22.6 MB
Lynda - Linux - Storage Systems [AhLaN]/6 - 5. Networked File Systems/37 - Network File System (NFS).mp4 22.3 MB
Lynda - Linux - File Sharing Services [AhLaN]/2 - 1. Configure FTP/05 - Configure the FTP server.mp4 22.3 MB
Lynda - Linux - Storage Systems [AhLaN]/4 - 3. Security and Resource Constraints/26 - Solution - SELinux, LUKS, ACLs, and quotas.mp4 21.9 MB
Lynda - Linux - Storage Systems [AhLaN]/2 - 1. Disk Partitions, Formatting, and Mounting/12 - Solution - Formatting and mounting.mp4 21.7 MB
Lynda - Linux - Storage Systems [AhLaN]/2 - 1. Disk Partitions, Formatting, and Mounting/06 - Use block device attributes.mp4 21.3 MB
Lynda - Learning Linux Command Line [AhLaN]/1 - Introduction/01 - Learning Linux command line.mp4 21.1 MB
Lynda - Linux - Storage Systems [AhLaN]/4 - 3. Security and Resource Constraints/24 - User and group disk quotas.mp4 21.0 MB
Lynda - Linux - Storage Systems [AhLaN]/2 - 1. Disk Partitions, Formatting, and Mounting/08 - Make file systems.mp4 20.9 MB
Lynda - Linux - Storage Systems [AhLaN]/2 - 1. Disk Partitions, Formatting, and Mounting/05 - Create, mount, and unmount file systems.mp4 20.8 MB
Lynda - Linux - Storage Systems [AhLaN]/3 - 2. Logical Volume Manager (LVM)/16 - Logical volumes.mp4 20.5 MB
Lynda - Linux - Network Configuration [AhLaN]/7 - 6. Route Traffic between Networks/23 - Routing lab overview.mp4 20.2 MB
Lynda - Linux - Overview and Installation [AhLaN]/4 - 3. Installing CentOS/10 - Install CentOS Linux from DVD ISO.mp4 20.1 MB
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- 【影视】 [ TutPig.com ] Machine Learning Bookcamp, Video Edition
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收录时间:2022-04-22
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~Get Your Files Here !/2 - Chapter 1 When machine learning isn’t helpful.mp4 80.4 MB
~Get Your Files Here !/1 - Chapter 1 Introduction to machine learning.mp4 78.8 MB
~Get Your Files Here !/3 - Chapter 1 Evaluation.mp4 72.7 MB
~Get Your Files Here !/21 - Chapter 3 Using the model.mp4 71.1 MB
~Get Your Files Here !/10 - Chapter 2 Validating the model.mp4 70.8 MB
~Get Your Files Here !/51 - Chapter 8 Preparing the Docker image.mp4 69.5 MB
~Get Your Files Here !/25 - Chapter 4 ROC curve and AUC score.mp4 69.2 MB
~Get Your Files Here !/28 - Chapter 4 Next steps.mp4 68.2 MB
~Get Your Files Here !/20 - Chapter 3 Model interpretation.mp4 66.7 MB
~Get Your Files Here !/53 - Chapter 9 Running TensorFlow Serving locally.mp4 65.8 MB
~Get Your Files Here !/13 - Chapter 3 Machine learning for classification.mp4 65.8 MB
~Get Your Files Here !/50 - Chapter 8 Serverless deep learning.mp4 65.5 MB
~Get Your Files Here !/54 - Chapter 9 Model deployment with Kubernetes.mp4 64.2 MB
~Get Your Files Here !/40 - Chapter 6 Parameter tuning for XGBoost.mp4 63.8 MB
~Get Your Files Here !/49 - Chapter 7 Using the model.mp4 61.7 MB
~Get Your Files Here !/26 - Chapter 4 ROC Curve.mp4 60.3 MB
~Get Your Files Here !/42 - Chapter 7 Neural networks and deep learning.mp4 59.0 MB
~Get Your Files Here !/23 - Chapter 4 Confusion table.mp4 59.0 MB
~Get Your Files Here !/22 - Chapter 4 Evaluation metrics for classification.mp4 57.3 MB
~Get Your Files Here !/15 - Chapter 3 Feature importance, Part 1.mp4 56.7 MB
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- 【影视】 GetFreeCourses.Co-Udemy-The Supervised Machine Learning Course
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收录时间:2023-12-18
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6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
6 - Support Vector Machines/64 - Crossvalidation.mp4 80.2 MB
1 - Introduction/1 - Introduction.mp4 73.3 MB
5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 55.4 MB
4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
4 - KNearest Neighbors/28 - Random Dataset Decision Regions.mp4 48.2 MB
7 - Ridge and Lasso Regression/76 - The Hitters Dataset Preprocessing and Preparation.mp4 48.2 MB
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- 【影视】 [GigaCourse.Com] Udemy - The Supervised Machine Learning Course
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人气:598
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6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
6 - Support Vector Machines/64 - Crossvalidation.mp4 80.2 MB
1 - Introduction/1 - Introduction.mp4 73.3 MB
5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 55.4 MB
4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
4 - KNearest Neighbors/28 - Random Dataset Decision Regions.mp4 48.2 MB
7 - Ridge and Lasso Regression/76 - The Hitters Dataset Preprocessing and Preparation.mp4 48.2 MB
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- 【影视】 Udemy - The Supervised Machine Learning Course
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6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
6 - Support Vector Machines/64 - Crossvalidation.mp4 80.2 MB
1 - Introduction/1 - Introduction.mp4 73.3 MB
5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 55.4 MB
4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
4 - KNearest Neighbors/28 - Random Dataset Decision Regions.mp4 48.2 MB
7 - Ridge and Lasso Regression/76 - The Hitters Dataset Preprocessing and Preparation.mp4 48.2 MB
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- 【影视】 [FreeCourseSite.com] Udemy - The Supervised Machine Learning Course
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磁力链接
6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
6 - Support Vector Machines/64 - Crossvalidation.mp4 80.2 MB
1 - Introduction/1 - Introduction.mp4 73.3 MB
5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 55.4 MB
4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
4 - KNearest Neighbors/28 - Random Dataset Decision Regions.mp4 48.2 MB
7 - Ridge and Lasso Regression/76 - The Hitters Dataset Preprocessing and Preparation.mp4 48.2 MB
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- 【影视】 [CourserHub.com] Coursera - Machine Learning Algorithms in the Real World Specialization
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data-machine-learning/01_what-does-good-data-look-like/01_know-your-problem/03_business-understanding-and-problem-discovery.mp4 51.4 MB
machine-learning-applied/01_introduction-to-machine-learning-applications/01_lesson-1-definitions/04_what-is-artificial-intelligence-and-machine-learning.mp4 46.0 MB
data-machine-learning/01_what-does-good-data-look-like/02_know-your-data/01_data-acquisition-and-understanding.mp4 44.1 MB
data-machine-learning/02_preparing-your-data-for-machine-learning-success/01_consolidate-sources/01_data-warehousing.mp4 42.3 MB
data-machine-learning/01_what-does-good-data-look-like/02_know-your-data/04_features-and-transformations-of-raw-data.mp4 41.0 MB
machine-learning-applied/02_machine-learning-in-the-real-world/01_lesson-1-machines-are-different-from-humans/02_features-and-transformations-of-raw-data.mp4 41.0 MB
data-machine-learning/04_bad-data/01_accept-limitations/02_generalization-and-how-machines-actually-learn.mp4 39.3 MB
machine-learning-applied/02_machine-learning-in-the-real-world/01_lesson-1-machines-are-different-from-humans/01_generalization-and-how-machines-actually-learn.mp4 39.3 MB
machine-learning-classification-algorithms/01_classification-using-decision-trees-and-k-nn/03_k-nearest-neighbours/02_distance-measures.mp4 38.5 MB
data-machine-learning/03_feature-engineering-for-more-fun-profit/03_transfer-learning/01_transfer-learning.mp4 38.5 MB
machine-learning-applied/01_introduction-to-machine-learning-applications/03_lesson-3-broader-machine-learning/03_reinforcement-learning.mp4 34.9 MB
machine-learning-classification-algorithms/01_classification-using-decision-trees-and-k-nn/03_k-nearest-neighbours/01_classification-using-k-nearest-neighbours.mp4 34.7 MB
data-machine-learning/03_feature-engineering-for-more-fun-profit/01_understanding-features/01_what-are-the-simplest-features-to-try.mp4 34.7 MB
data-machine-learning/04_bad-data/03_consequences-of-bad-data/02_live-data-danger.mp4 34.6 MB
machine-learning-classification-algorithms/03_regression-for-classification-support-vector-machines/01_models-with-transfer-functions/02_neural-networks.mp4 34.3 MB
machine-learning-applied/01_introduction-to-machine-learning-applications/01_lesson-1-definitions/06_the-machine-learning-process.mp4 33.7 MB
data-machine-learning/02_preparing-your-data-for-machine-learning-success/02_coordinate/01_everything-has-to-be-numbers.mp4 33.4 MB
data-machine-learning/01_what-does-good-data-look-like/01_know-your-problem/05_exploring-the-process-of-problem-definition.mp4 33.1 MB
machine-learning-applied/04_machine-learning-projects/02_lesson-2-getting-ready-to-model/01_exploring-the-process-of-problem-definition.mp4 33.1 MB
data-machine-learning/04_bad-data/02_statistical-nuance/02_skewed-distributions.mp4 32.7 MB
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- 【影视】 Whore.Training.Learning.The.Ropes.DISC1+2.XXX.DVDRip
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收录时间:2017-03-13
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CD-1/Sample/nympho-wtd1.sample.avi 12.1 MB
CD-1/nympho-wtd1.cd1.avi 733.8 MB
CD-1/nympho-wtd1.cd1.avi.png 3.2 MB
CD-1/nympho-wtd1.cd2.avi 732.4 MB
CD-1/nympho-wtd1.cd2.avi.png 3.1 MB
CD-1/nympho-wtd1.nfo 8.5 kB
CD-2/Sample/nympho-wtd2.sample.avi 12.2 MB
CD-2/nympho-wtd2.cd1.avi 733.8 MB
CD-2/nympho-wtd2.cd1.avi.png 2.8 MB
CD-2/nympho-wtd2.cd2.avi 732.9 MB
CD-2/nympho-wtd2.cd2.avi.png 3.4 MB
CD-2/nympho-wtd2.nfo 8.5 kB
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- 【影视】 [DesireCourse.Com] Udemy - Machine Learning Basics Building a Regression model in R
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收录时间:2021-04-29
文档个数:158
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6. Linear Regression Model/20. Ridge regression and Lasso in R.mp4 130.3 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
3. Getting started with R and R studio/7. Creating Barplots in R.mp4 123.3 MB
5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 119.3 MB
5. Data Preprocessing/7. EDD in R.mp4 117.7 MB
6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4 109.5 MB
3. Getting started with R and R studio/3. Packages in R.mp4 103.5 MB
5. Data Preprocessing/24. Correlation Matrix in R.mp4 99.7 MB
6. Linear Regression Model/14. Test-Train Split in R.mp4 95.5 MB
6. Linear Regression Model/16. Subset Selection techniques.mp4 91.3 MB
2. Basics of Statistics/3. Describing the data graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.mp4 85.2 MB
5. Data Preprocessing/3. The Data and the Data Dictionary.mp4 82.4 MB
6. Linear Regression Model/17. Subset selection in R.mp4 80.3 MB
6. Linear Regression Model/10. Multiple Linear Regression in R.mp4 76.7 MB
3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.mp4 72.5 MB
5. Data Preprocessing/17. Variable transformation in R.mp4 71.2 MB
6. Linear Regression Model/8. The F - statistic.mp4 67.3 MB
5. Data Preprocessing/21. Dummy variable creation in R.mp4 54.8 MB
3. Getting started with R and R studio/8. Creating Histograms in R.mp4 54.0 MB
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- 【影视】 Udemy - AWS Certified Machine Learning Specialty 2023 - Hands On!
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收录时间:2024-09-07
文档个数:266
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最近下载:2025-05-16
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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】 Learning Deep Learning From Perceptron to Large Language Models
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收录时间:2024-02-27
文档个数:110
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最近下载:2025-05-16
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Lesson 7 Encoder–Decoder Networks, Attention, Transformers, and Neural Machine Translation/003. 7.2 Programming Example Neural Machine Translation with TensorFlow.mp4 114.1 MB
Lesson 7 Encoder–Decoder Networks, Attention, Transformers, and Neural Machine Translation/004. 7.3 Programming Example Neural Machine Translation with PyTorch.mp4 104.7 MB
Lesson 9 Multi-Modal Networks and Image Captioning/007. 9.6 Programming Example Image Captioning with PyTorch.mp4 86.3 MB
Lesson 9 Multi-Modal Networks and Image Captioning/006. 9.5 Programming Example Image Captioning with TensorFlow.mp4 85.1 MB
Lesson 3 Neural Network Fundamentals II/004. 3.3 Programming Example Digit Classification with Python.mp4 77.2 MB
Lesson 5 Recurrent Neural Networks (RNN) and Time Series Prediction/010. 5.9 Programming Example Text Autocompletion with PyTorch.mp4 67.9 MB
Lesson 9 Multi-Modal Networks and Image Captioning/008. 9.7 Multimodal Large Language Models.mp4 63.1 MB
Lesson 5 Recurrent Neural Networks (RNN) and Time Series Prediction/009. 5.8 Programming Example Text Autocompletion with TensorFlow.mp4 63.0 MB
Lesson 2 Neural Network Fundamentals I/010. 2.9 Programming Example Learning the XOR Function.mp4 62.5 MB
Lesson 6 Neural Language Models and Word Embeddings/004. 6.3 Programming Example Language Model and Word Embeddings with TensorFlow.mp4 57.0 MB
Lesson 11 Applying Deep Learning/002. 11.1 Ethical AI and Data Ethics.mp4 55.5 MB
Lesson 8 Large Language Models/004. 8.3 From GPT to GPT4.mp4 54.7 MB
Lesson 3 Neural Network Fundamentals II/007. 3.6 Programming Example Digit Classification with PyTorch.mp4 52.1 MB
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