| 1 -Getting Started on Google Cloud Platform.mp4 | 125.1 MB | ||
| 1 -Introduction.mp4 | 30.9 MB | ||
| 1 -Machine Learning on Google Cloud.mp4 | 43.2 MB | ||
| 1 -Professional Machine Learning Engineer Certifications 2024.mp4 | 10.7 MB | ||
| 1 -Section 1 - Overview.mp4 | 23.9 MB | ||
| 1 -Section 2 - Overview.mp4 | 21.3 MB | ||
| 1 -Section 3 - Overview.mp4 | 9.2 MB | ||
| 1 -Section 4 - Overview.mp4 | 13.9 MB | ||
| 1 -Section 5 - Overview.mp4 | 14.1 MB | ||
| 1 -Section 6 - Overview.mp4 | 7.3 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 -1.1 Developing ML models by using BigQuery ML.mp4 | 54.7 MB | ||
| 2 -2.1 Exploring and preprocessing organization-wide data.mp4 | 43 MB | ||
| 2 -3.1 Building Models - Frameworks.mp4 | 3.6 MB | ||
| 2 -4.1 Serving Model.mp4 | 54.3 MB | ||
| 2 -5.1 Developing end-to-end ML Pipelines.mp4 | 47.7 MB | ||
| 2 -6.1 Identifying Risks to AI Solutions.mp4 | 29.8 MB | ||
| 2 -Bootstrapping Machine Learning.mp4 | 34.4 MB | ||
| 2 -Google Cloud Platform Concepts.mp4 | 76.9 MB | ||
| 2 -Vertex AI.mp4 | 17 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 MB | ||
| 25 -Other Concepts Ensemble, Boosting Bagging, Binning.mp4 | 29.5 MB | ||
| 3 -2.2 Model Prototyping using Jupyter notebooks.mp4 | 12.5 MB | ||
| 3 -3.2 Training Models.mp4 | 18.5 MB | ||
| 3 -4.2 Scaling Online Model Serving.mp4 | 58.4 MB | ||
| 3 -5.2 Automating model Retraining.mp4 | 23.6 MB | ||
| 3 -6.1 Model Explainability.mp4 | 16.4 MB | ||
| 3 -BigQuery ML Create Model.mp4 | 55.1 MB | ||
| 3 -Datasets.mp4 | 27.8 MB | ||
| 3 -Google Cloud Platform Concepts 2.mp4 | 43.4 MB | ||
| 3 -Lets Understand Machine Learning Core Concepts.mp4 | 64.5 MB | ||
| 4 -2.2 Security Best Practices.mp4 | 46 MB | ||
| 4 -3.3 Choosing Appropriate Hardware.mp4 | 49.1 MB | ||
| 4 -6.2 Monitoring, Testing, and Troubleshooting ML Solutions.mp4 | 22.2 MB | ||
| 4 -BigQuery ML Evaluate.mp4 | 9 MB | ||
| 4 -Feature Store.mp4 | 22.5 MB | ||
| 4 -GCP - Compute Service.mp4 | 46.5 MB | ||
| 4 -Machine Learning Types - Core 1.mp4 | 48.4 MB | ||
| 5 -2.3 Tracking and running ML experiments.mp4 | 44 MB | ||
| 5 -3.3 Distributed Training.mp4 | 48 MB | ||
| 5 -AutoML.mp4 | 125.6 MB | ||
| 5 -BigQuery ML Prediction.mp4 | 10.2 MB | ||
| 5 -GCP Database Service.mp4 | 53 MB | ||
| 5 -Machine Learning Types - Core 2.mp4 | 84.7 MB | ||
| 6 -BigQuery ML Feature Engineering.mp4 | 33.1 MB | ||
| 6 -GCP Bigdata Services.mp4 | 47.9 MB | ||
| 6 -ML Engineer Section 00 - Chap 06 regression linear and logistics v01_D1.mp4 | 33 MB | ||
| 6 -Regression and Classification.mp4 | 40.9 MB | ||
| 6 -Taking Sample ML Algorithms to GCP Part 1.mp4 | 26.6 MB | ||
| 7 -GCP Operations.mp4 | 38 MB | ||
| 7 -Section 1.2 Building AI solutions by using ML APIs.mp4 | 55.8 MB | ||
| 7 -Training and Loss function.mp4 | 49.5 MB | ||
| 7 -Training on GCP 2.mp4 | 104.8 MB | ||
| 8 -GCP Networks.mp4 | 38.3 MB | ||
| 8 -Section 1.2 Retail and Document AI.mp4 | 43.9 MB | ||
| 8 -Training and Loss function Precision and Recall.mp4 | 79 MB | ||
| 8 -Training on GCP 3.mp4 | 81.6 MB | ||
| 9 -GCP Security.mp4 | 28.9 MB | ||
| 9 -Hyperparameter Tunning.mp4 | 65.8 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 74 total files | |||
Google Professional Machine Learning Engineer Certifications
https://DevCourseWeb.com
Published 11/2024
Created by Google Cloud Experts Cloud Architect,Google Cloud Platform Gurus !
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 71 Lectures ( 10h 22m ) | Size: 3.43 GB
Detailed Machine Learning content from Beginners to Advanced to clear Professional ML Engineer certifications Exam
What you'll learn
Machine Learning Engineer on Cloud
Machine Learning Core Concepts
Foundations for AI
Google Cloud Machine Learning Services
Requirements
Knowledge of any programming or Python but not mandatory.
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