Google Professional Machine Learning Engineer Certifications DevCourseWeb
Seeders : 28 Leechers : 5
| Torrent Hash : | 5A17A0CC5D6A074264E2422CE08E9B73DF450B7A |
| Torrent Added : | at Dec. 2, 2024, 7:33 p.m. in Other |
| Torrent Size : | 3.4 GB |
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Google Professional Machine Learning Engineer Certifications DevCourseWeb
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Google Professional Machine Learning Engineer Certifications DevCourseWeb
Get Bonus Downloads Here.url -
1 -Introduction.mp4 -
10 -Tensorboard.mp4 -
11 -Regularizations.mp4 -
12 -Regularizations Demo.mp4 -
13 -Feature Cross and One Hot Encoding.mp4 -
14 -Neural Networks (NN).mp4 -
15 -Embeddings.mp4 -
16 -TensorFlow Keras.mp4 -
17 -Sequential Model.mp4 -
18 -Model Save and Load for Serving.mp4 -
19 -Functional Model.mp4 -
2 -Bootstrapping Machine Learning.mp4 -
20 -Convolutional Neural Networks (CNN).mp4 -
21 -K-Nearest Neighbors algorithm (K-NN).mp4 -
22 -K-NN Classifier.mp4 -
23 -Decision Tree, Random Forest and Gini Index.mp4 -
24 -Boosting AdaBoost.mp4 -
25 -Other Concepts Ensemble, Boosting Bagging, Binning.mp4 -
3 -Lets Understand Machine Learning Core Concepts.mp4 -
4 -Machine Learning Types - Core 1.mp4 -
5 -Machine Learning Types - Core 2.mp4 -
6 -ML Engineer Section 00 - Chap 06 regression linear and logistics v01_D1.mp4 -
6 -Regression and Classification.mp4 -
7 -Training and Loss function.mp4 -
8 -Training and Loss function Precision and Recall.mp4 -
9 -Hyperparameter Tunning.mp4 -
1 -Section 6 - Overview.mp4 -
2 -6.1 Identifying Risks to AI Solutions.mp4 -
3 -6.1 Model Explainability.mp4 -
4 -6.2 Monitoring, Testing, and Troubleshooting ML Solutions.mp4 -
1 -Getting Started on Google Cloud Platform.mp4 -
2 -Google Cloud Platform Concepts.mp4 -
3 -Google Cloud Platform Concepts 2.mp4 -
4 -GCP - Compute Service.mp4 -
5 -GCP Database Service.mp4 -
6 -GCP Bigdata Services.mp4 -
7 -GCP Operations.mp4 -
8 -GCP Networks.mp4 -
9 -GCP Security.mp4 -
1 -Machine Learning on Google Cloud.mp4 -
2 -Vertex AI.mp4 -
3 -Datasets.mp4 -
4 -Feature Store.mp4 -
5 -AutoML.mp4 -
6 -Taking Sample ML Algorithms to GCP Part 1.mp4 -
7 -Training on GCP 2.mp4 -
8 -Training on GCP 3.mp4 -
1 -Professional Machine Learning Engineer Certifications 2024.mp4 -
1 -Section 1 - Overview.mp4 -
2 -1.1 Developing ML models by using BigQuery ML.mp4 -
3 -BigQuery ML Create Model.mp4 -
4 -BigQuery ML Evaluate.mp4 -
5 -BigQuery ML Prediction.mp4 -
6 -BigQuery ML Feature Engineering.mp4 -
7 -Section 1.2 Building AI solutions by using ML APIs.mp4 -
8 -Section 1.2 Retail and Document AI.mp4 -
1 -Section 2 - Overview.mp4 -
2 -2.1 Exploring and preprocessing organization-wide data.mp4 -
3 -2.2 Model Prototyping using Jupyter notebooks.mp4 -
4 -2.2 Security Best Practices.mp4 -
5 -2.3 Tracking and running ML experiments.mp4 -
1 -Section 3 - Overview.mp4 -
2 -3.1 Building Models - Frameworks.mp4 -
3 -3.2 Training Models.mp4 -
4 -3.3 Choosing Appropriate Hardware.mp4 -
5 -3.3 Distributed Training.mp4 -
1 -Section 4 - Overview.mp4 -
2 -4.1 Serving Model.mp4 -
3 -4.2 Scaling Online Model Serving.mp4 -
1 -Section 5 - Overview.mp4 -
2 -5.1 Developing end-to-end ML Pipelines.mp4 -
3 -5.2 Automating model Retraining.mp4 -
Bonus Resources.txt -
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Get Bonus Downloads Here.url -
182 bytes
1 -Introduction.mp4 -
30.9 MB
10 -Tensorboard.mp4 -
44.3 MB
11 -Regularizations.mp4 -
83.2 MB
12 -Regularizations Demo.mp4 -
32.5 MB
13 -Feature Cross and One Hot Encoding.mp4 -
66.7 MB
14 -Neural Networks (NN).mp4 -
78.9 MB
15 -Embeddings.mp4 -
126.4 MB
16 -TensorFlow Keras.mp4 -
66.7 MB
17 -Sequential Model.mp4 -
99.3 MB
18 -Model Save and Load for Serving.mp4 -
56.3 MB
19 -Functional Model.mp4 -
71.4 MB
2 -Bootstrapping Machine Learning.mp4 -
34.4 MB
20 -Convolutional Neural Networks (CNN).mp4 -
153.2 MB
21 -K-Nearest Neighbors algorithm (K-NN).mp4 -
57.6 MB
22 -K-NN Classifier.mp4 -
66.9 MB
23 -Decision Tree, Random Forest and Gini Index.mp4 -
80.4 MB
24 -Boosting AdaBoost.mp4 -
45.0 MB
25 -Other Concepts Ensemble, Boosting Bagging, Binning.mp4 -
29.5 MB
3 -Lets Understand Machine Learning Core Concepts.mp4 -
64.5 MB
4 -Machine Learning Types - Core 1.mp4 -
48.4 MB
5 -Machine Learning Types - Core 2.mp4 -
84.7 MB
6 -ML Engineer Section 00 - Chap 06 regression linear and logistics v01_D1.mp4 -
33.0 MB
6 -Regression and Classification.mp4 -
40.9 MB
7 -Training and Loss function.mp4 -
49.5 MB
8 -Training and Loss function Precision and Recall.mp4 -
79.0 MB
9 -Hyperparameter Tunning.mp4 -
65.8 MB
1 -Section 6 - Overview.mp4 -
7.3 MB
2 -6.1 Identifying Risks to AI Solutions.mp4 -
29.8 MB
3 -6.1 Model Explainability.mp4 -
16.4 MB
4 -6.2 Monitoring, Testing, and Troubleshooting ML Solutions.mp4 -
22.2 MB
1 -Getting Started on Google Cloud Platform.mp4 -
125.1 MB
2 -Google Cloud Platform Concepts.mp4 -
76.9 MB
3 -Google Cloud Platform Concepts 2.mp4 -
43.4 MB
4 -GCP - Compute Service.mp4 -
46.5 MB
5 -GCP Database Service.mp4 -
53.0 MB
6 -GCP Bigdata Services.mp4 -
47.9 MB
7 -GCP Operations.mp4 -
38.0 MB
8 -GCP Networks.mp4 -
38.3 MB
9 -GCP Security.mp4 -
28.9 MB
1 -Machine Learning on Google Cloud.mp4 -
43.2 MB
2 -Vertex AI.mp4 -
17.0 MB
3 -Datasets.mp4 -
27.8 MB
4 -Feature Store.mp4 -
22.5 MB
5 -AutoML.mp4 -
125.6 MB
6 -Taking Sample ML Algorithms to GCP Part 1.mp4 -
26.6 MB
7 -Training on GCP 2.mp4 -
104.8 MB
8 -Training on GCP 3.mp4 -
81.6 MB
1 -Professional Machine Learning Engineer Certifications 2024.mp4 -
10.7 MB
1 -Section 1 - Overview.mp4 -
23.9 MB
2 -1.1 Developing ML models by using BigQuery ML.mp4 -
54.7 MB
3 -BigQuery ML Create Model.mp4 -
55.1 MB
4 -BigQuery ML Evaluate.mp4 -
9.0 MB
5 -BigQuery ML Prediction.mp4 -
10.2 MB
6 -BigQuery ML Feature Engineering.mp4 -
33.1 MB
7 -Section 1.2 Building AI solutions by using ML APIs.mp4 -
55.8 MB
8 -Section 1.2 Retail and Document AI.mp4 -
43.9 MB
1 -Section 2 - Overview.mp4 -
21.3 MB
2 -2.1 Exploring and preprocessing organization-wide data.mp4 -
43.0 MB
3 -2.2 Model Prototyping using Jupyter notebooks.mp4 -
12.5 MB
4 -2.2 Security Best Practices.mp4 -
46.0 MB
5 -2.3 Tracking and running ML experiments.mp4 -
44.0 MB
1 -Section 3 - Overview.mp4 -
9.2 MB
2 -3.1 Building Models - Frameworks.mp4 -
3.6 MB
3 -3.2 Training Models.mp4 -
18.5 MB
4 -3.3 Choosing Appropriate Hardware.mp4 -
49.1 MB
5 -3.3 Distributed Training.mp4 -
48.0 MB
1 -Section 4 - Overview.mp4 -
13.9 MB
2 -4.1 Serving Model.mp4 -
54.3 MB
3 -4.2 Scaling Online Model Serving.mp4 -
58.4 MB
1 -Section 5 - Overview.mp4 -
14.1 MB
2 -5.1 Developing end-to-end ML Pipelines.mp4 -
47.7 MB
3 -5.2 Automating model Retraining.mp4 -
23.6 MB
Bonus Resources.txt -
386 bytes
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