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Google Professional Machine Learning Engineer Certifications DevCourseWeb

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Files:

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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