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Google Professional Machine Learning Engineer Certifications DevCourseWeb

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Category Other
Added Monday 2nd December 2024 07:33:34 PM (1 year ago)
Size3.4 GB
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Torrent Files (74)
FilenameSize
Get Bonus Downloads Here.url182 bytes
1 -Introduction.mp430.9 MB
10 -Tensorboard.mp444.3 MB
11 -Regularizations.mp483.2 MB
12 -Regularizations Demo.mp432.5 MB
13 -Feature Cross and One Hot Encoding.mp466.7 MB
14 -Neural Networks (NN).mp478.9 MB
15 -Embeddings.mp4126.4 MB
16 -TensorFlow Keras.mp466.7 MB
17 -Sequential Model.mp499.3 MB
18 -Model Save and Load for Serving.mp456.3 MB
19 -Functional Model.mp471.4 MB
2 -Bootstrapping Machine Learning.mp434.4 MB
20 -Convolutional Neural Networks (CNN).mp4153.2 MB
21 -K-Nearest Neighbors algorithm (K-NN).mp457.6 MB
22 -K-NN Classifier.mp466.9 MB
23 -Decision Tree, Random Forest and Gini Index.mp480.4 MB
24 -Boosting AdaBoost.mp445.0 MB
25 -Other Concepts Ensemble, Boosting Bagging, Binning.mp429.5 MB
3 -Lets Understand Machine Learning Core Concepts.mp464.5 MB
4 -Machine Learning Types - Core 1.mp448.4 MB
5 -Machine Learning Types - Core 2.mp484.7 MB
6 -ML Engineer Section 00 - Chap 06 regression linear and logistics v01_D1.mp433.0 MB
6 -Regression and Classification.mp440.9 MB
7 -Training and Loss function.mp449.5 MB
8 -Training and Loss function Precision and Recall.mp479.0 MB
9 -Hyperparameter Tunning.mp465.8 MB
1 -Section 6 - Overview.mp47.3 MB
2 -6.1 Identifying Risks to AI Solutions.mp429.8 MB
3 -6.1 Model Explainability.mp416.4 MB
4 -6.2 Monitoring, Testing, and Troubleshooting ML Solutions.mp422.2 MB
1 -Getting Started on Google Cloud Platform.mp4125.1 MB
2 -Google Cloud Platform Concepts.mp476.9 MB
3 -Google Cloud Platform Concepts 2.mp443.4 MB
4 -GCP - Compute Service.mp446.5 MB
5 -GCP Database Service.mp453.0 MB
6 -GCP Bigdata Services.mp447.9 MB
7 -GCP Operations.mp438.0 MB
8 -GCP Networks.mp438.3 MB
9 -GCP Security.mp428.9 MB
1 -Machine Learning on Google Cloud.mp443.2 MB
2 -Vertex AI.mp417.0 MB
3 -Datasets.mp427.8 MB
4 -Feature Store.mp422.5 MB
5 -AutoML.mp4125.6 MB
6 -Taking Sample ML Algorithms to GCP Part 1.mp426.6 MB
7 -Training on GCP 2.mp4104.8 MB
8 -Training on GCP 3.mp481.6 MB
1 -Professional Machine Learning Engineer Certifications 2024.mp410.7 MB
1 -Section 1 - Overview.mp423.9 MB
2 -1.1 Developing ML models by using BigQuery ML.mp454.7 MB
3 -BigQuery ML Create Model.mp455.1 MB
4 -BigQuery ML Evaluate.mp49.0 MB
5 -BigQuery ML Prediction.mp410.2 MB
6 -BigQuery ML Feature Engineering.mp433.1 MB
7 -Section 1.2 Building AI solutions by using ML APIs.mp455.8 MB
8 -Section 1.2 Retail and Document AI.mp443.9 MB
1 -Section 2 - Overview.mp421.3 MB
2 -2.1 Exploring and preprocessing organization-wide data.mp443.0 MB
3 -2.2 Model Prototyping using Jupyter notebooks.mp412.5 MB
4 -2.2 Security Best Practices.mp446.0 MB
5 -2.3 Tracking and running ML experiments.mp444.0 MB
1 -Section 3 - Overview.mp49.2 MB
2 -3.1 Building Models - Frameworks.mp43.6 MB
3 -3.2 Training Models.mp418.5 MB
4 -3.3 Choosing Appropriate Hardware.mp449.1 MB
5 -3.3 Distributed Training.mp448.0 MB
1 -Section 4 - Overview.mp413.9 MB
2 -4.1 Serving Model.mp454.3 MB
3 -4.2 Scaling Online Model Serving.mp458.4 MB
1 -Section 5 - Overview.mp414.1 MB
2 -5.1 Developing end-to-end ML Pipelines.mp447.7 MB
3 -5.2 Automating model Retraining.mp423.6 MB
Bonus Resources.txt386 bytes
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