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[ DevCourseWeb com ] Udemy - Google Professional Machine Learning Engineer Certifications

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Name:[ DevCourseWeb com ] Udemy - Google Professional Machine Learning Engineer Certifications

Infohash: 5A17A0CC5D6A074264E2422CE08E9B73DF450B7A

Total Size: 3.43 GB

Seeds: 8

Leechers: 0

Stream: Watch Full Movies @ LimeMovies

Last Updated: 2025-10-30 13:13:45 (Update Now)

Torrent added: 2024-12-02 20:32:27






Torrent Files List


Get Bonus Downloads Here.url (Size: 3.43 GB) (Files: 74)

 Get Bonus Downloads Here.url

0.18 KB

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  1 - Introduction to Machine Learning

   1 -Introduction.mp4

30.89 MB

   10 -Tensorboard.mp4

44.32 MB

   11 -Regularizations.mp4

83.18 MB

   12 -Regularizations Demo.mp4

32.48 MB

   13 -Feature Cross and One Hot Encoding.mp4

66.69 MB

   14 -Neural Networks (NN).mp4

78.94 MB

   15 -Embeddings.mp4

126.37 MB

   16 -TensorFlow Keras.mp4

66.69 MB

   17 -Sequential Model.mp4

99.32 MB

   18 -Model Save and Load for Serving.mp4

56.32 MB

   19 -Functional Model.mp4

71.38 MB

   2 -Bootstrapping Machine Learning.mp4

34.39 MB

   20 -Convolutional Neural Networks (CNN).mp4

153.20 MB

   21 -K-Nearest Neighbors algorithm (K-NN).mp4

57.59 MB

   22 -K-NN Classifier.mp4

66.91 MB

   23 -Decision Tree, Random Forest and Gini Index.mp4

80.36 MB

   24 -Boosting AdaBoost.mp4

44.99 MB

   25 -Other Concepts Ensemble, Boosting Bagging, Binning.mp4

29.51 MB

   3 -Lets Understand Machine Learning Core Concepts.mp4

64.52 MB

   4 -Machine Learning Types - Core 1.mp4

48.38 MB

   5 -Machine Learning Types - Core 2.mp4

84.66 MB

   6 -ML Engineer Section 00 - Chap 06 regression linear and logistics v01_D1.mp4

32.98 MB

   6 -Regression and Classification.mp4

40.92 MB

   7 -Training and Loss function.mp4

49.53 MB

   8 -Training and Loss function Precision and Recall.mp4

78.99 MB

   9 -Hyperparameter Tunning.mp4

65.78 MB

  10 - Section 6.0 Monitoring ML Solutions

   1 -Section 6 - Overview.mp4

7.34 MB

   2 -6.1 Identifying Risks to AI Solutions.mp4

29.77 MB

   3 -6.1 Model Explainability.mp4

16.39 MB

   4 -6.2 Monitoring, Testing, and Troubleshooting ML Solutions.mp4

22.18 MB

  2 - Introduction to Google Cloud Platform

   1 -Getting Started on Google Cloud Platform.mp4

125.12 MB

   2 -Google Cloud Platform Concepts.mp4

76.92 MB

   3 -Google Cloud Platform Concepts 2.mp4

43.40 MB

   4 -GCP - Compute Service.mp4

46.50 MB

   5 -GCP Database Service.mp4

53.02 MB

   6 -GCP Bigdata Services.mp4

47.91 MB

   7 -GCP Operations.mp4

38.03 MB

   8 -GCP Networks.mp4

38.34 MB

   9 -GCP Security.mp4

28.90 MB

  3 - Introduction to Machine Learning on GCP

   1 -Machine Learning on Google Cloud.mp4

43.17 MB

   2 -Vertex AI.mp4

17.03 MB

   3 -Datasets.mp4

27.81 MB

   4 -Feature Store.mp4

22.49 MB

   5 -AutoML.mp4

125.63 MB

   6 -Taking Sample ML Algorithms to GCP Part 1.mp4

26.58 MB

   7 -Training on GCP 2.mp4

104.80 MB

   8 -Training on GCP 3.mp4

81.61 MB

  4 - Googles Professional Machine Learning Engineer Certifications

   1 -Professional Machine Learning Engineer Certifications 2024.mp4

10.73 MB

  5 - Section 1 Architecting low-code ML solutions

   1 -Section 1 - Overview.mp4

23.86 MB

   2 -1.1 Developing ML models by using BigQuery ML.mp4

54.73 MB

   3 -BigQuery ML Create Model.mp4

55.11 MB

   4 -BigQuery ML Evaluate.mp4

9.01 MB

   5 -BigQuery ML Prediction.mp4

10.16 MB

   6 -BigQuery ML Feature Engineering.mp4

33.14 MB

   7 -Section 1.2 Building AI solutions by using ML APIs.mp4

55.82 MB

   8 -Section 1.2 Retail and Document AI.mp4

43.94 MB

  6 - Section 2 Collaborating within and across teams to manage data and Models

   1 -Section 2 - Overview.mp4

21.27 MB

   2 -2.1 Exploring and preprocessing organization-wide data.mp4

43.02 MB

   3 -2.2 Model Prototyping using Jupyter notebooks.mp4

12.49 MB

   4 -2.2 Security Best Practices.mp4

46.03 MB

   5 -2.3 Tracking and running ML experiments.mp4

43.97 MB

  7 - Section 3 Scaling prototypes into ML models

   1 -Section 3 - Overview.mp4

9.20 MB

   2 -3.1 Building Models - Frameworks.mp4

3.65 MB

   3 -3.2 Training Models.mp4

18.49 MB

   4 -3.3 Choosing Appropriate Hardware.mp4

49.14 MB

   5 -3.3 Distributed Training.mp4

48.02 MB

  8 - Section 4 Serving and Scaling Models

   1 -Section 4 - Overview.mp4

13.86 MB

   2 -4.1 Serving Model.mp4

54.31 MB

   3 -4.2 Scaling Online Model Serving.mp4

58.42 MB

  9 - Section 5 Automating and Orchestrating ML pipelines

   1 -Section 5 - Overview.mp4

14.11 MB

   2 -5.1 Developing end-to-end ML Pipelines.mp4

47.67 MB

   3 -5.2 Automating model Retraining.mp4

23.59 MB

  Bonus Resources.txt

0.38 KB
 

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