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File list
Udemy - Google Professional Machine Learning Engineer Certifications
~Get Your Files Here !/1 - Introduction to Machine Learning/1 -Introduction.mp430.9 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/10 -Tensorboard.mp444.3 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/11 -Regularizations.mp483.2 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/12 -Regularizations Demo.mp432.5 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/13 -Feature Cross and One Hot Encoding.mp466.7 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/14 -Neural Networks (NN).mp478.9 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/15 -Embeddings.mp4126.4 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/16 -TensorFlow Keras.mp466.7 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/17 -Sequential Model.mp499.3 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/18 -Model Save and Load for Serving.mp456.3 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/19 -Functional Model.mp471.4 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/2 -Bootstrapping Machine Learning.mp434.4 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/20 -Convolutional Neural Networks (CNN).mp4153.2 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/21 -K-Nearest Neighbors algorithm (K-NN).mp457.6 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/22 -K-NN Classifier.mp466.9 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/23 -Decision Tree, Random Forest and Gini Index.mp480.4 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/24 -Boosting AdaBoost.mp445 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/25 -Other Concepts Ensemble, Boosting Bagging, Binning.mp429.5 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/3 -Lets Understand Machine Learning Core Concepts.mp464.5 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/4 -Machine Learning Types - Core 1.mp448.4 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/5 -Machine Learning Types - Core 2.mp484.7 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/6 -ML Engineer Section 00 - Chap 06 regression linear and logistics v01_D1.mp433 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/6 -Regression and Classification.mp440.9 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/7 -Training and Loss function.mp449.5 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/8 -Training and Loss function Precision and Recall.mp479 MB
~Get Your Files Here !/1 - Introduction to Machine Learning/9 -Hyperparameter Tunning.mp465.8 MB
~Get Your Files Here !/10 - Section 6.0 Monitoring ML Solutions/1 -Section 6 - Overview.mp47.3 MB
~Get Your Files Here !/10 - Section 6.0 Monitoring ML Solutions/2 -6.1 Identifying Risks to AI Solutions.mp429.8 MB
~Get Your Files Here !/10 - Section 6.0 Monitoring ML Solutions/3 -6.1 Model Explainability.mp416.4 MB
~Get Your Files Here !/10 - Section 6.0 Monitoring ML Solutions/4 -6.2 Monitoring, Testing, and Troubleshooting ML Solutions.mp422.2 MB
~Get Your Files Here !/2 - Introduction to Google Cloud Platform/1 -Getting Started on Google Cloud Platform.mp4125.1 MB
~Get Your Files Here !/2 - Introduction to Google Cloud Platform/2 -Google Cloud Platform Concepts.mp476.9 MB
~Get Your Files Here !/2 - Introduction to Google Cloud Platform/3 -Google Cloud Platform Concepts 2.mp443.4 MB
~Get Your Files Here !/2 - Introduction to Google Cloud Platform/4 -GCP - Compute Service.mp446.5 MB
~Get Your Files Here !/2 - Introduction to Google Cloud Platform/5 -GCP Database Service.mp453 MB
~Get Your Files Here !/2 - Introduction to Google Cloud Platform/6 -GCP Bigdata Services.mp447.9 MB
~Get Your Files Here !/2 - Introduction to Google Cloud Platform/7 -GCP Operations.mp438 MB
~Get Your Files Here !/2 - Introduction to Google Cloud Platform/8 -GCP Networks.mp438.3 MB
~Get Your Files Here !/2 - Introduction to Google Cloud Platform/9 -GCP Security.mp428.9 MB
~Get Your Files Here !/3 - Introduction to Machine Learning on GCP/1 -Machine Learning on Google Cloud.mp443.2 MB
~Get Your Files Here !/3 - Introduction to Machine Learning on GCP/2 -Vertex AI.mp417 MB
~Get Your Files Here !/3 - Introduction to Machine Learning on GCP/3 -Datasets.mp427.8 MB
~Get Your Files Here !/3 - Introduction to Machine Learning on GCP/4 -Feature Store.mp422.5 MB
~Get Your Files Here !/3 - Introduction to Machine Learning on GCP/5 -AutoML.mp4125.6 MB
~Get Your Files Here !/3 - Introduction to Machine Learning on GCP/6 -Taking Sample ML Algorithms to GCP Part 1.mp426.6 MB
~Get Your Files Here !/3 - Introduction to Machine Learning on GCP/7 -Training on GCP 2.mp4104.8 MB
~Get Your Files Here !/3 - Introduction to Machine Learning on GCP/8 -Training on GCP 3.mp481.6 MB
~Get Your Files Here !/4 - Googles Professional Machine Learning Engineer Certifications/1 -Professional Machine Learning Engineer Certifications 2024.mp410.7 MB
~Get Your Files Here !/5 - Section 1 Architecting low-code ML solutions/1 -Section 1 - Overview.mp423.9 MB
~Get Your Files Here !/5 - Section 1 Architecting low-code ML solutions/2 -1.1 Developing ML models by using BigQuery ML.mp454.7 MB
~Get Your Files Here !/5 - Section 1 Architecting low-code ML solutions/3 -BigQuery ML Create Model.mp455.1 MB
~Get Your Files Here !/5 - Section 1 Architecting low-code ML solutions/4 -BigQuery ML Evaluate.mp49 MB
~Get Your Files Here !/5 - Section 1 Architecting low-code ML solutions/5 -BigQuery ML Prediction.mp410.2 MB
~Get Your Files Here !/5 - Section 1 Architecting low-code ML solutions/6 -BigQuery ML Feature Engineering.mp433.1 MB
~Get Your Files Here !/5 - Section 1 Architecting low-code ML solutions/7 -Section 1.2 Building AI solutions by using ML APIs.mp455.8 MB
~Get Your Files Here !/5 - Section 1 Architecting low-code ML solutions/8 -Section 1.2 Retail and Document AI.mp443.9 MB
~Get Your Files Here !/6 - Section 2 Collaborating within and across teams to manage data and Models/1 -Section 2 - Overview.mp421.3 MB
~Get Your Files Here !/6 - Section 2 Collaborating within and across teams to manage data and Models/2 -2.1 Exploring and preprocessing organization-wide data.mp443 MB
~Get Your Files Here !/6 - Section 2 Collaborating within and across teams to manage data and Models/3 -2.2 Model Prototyping using Jupyter notebooks.mp412.5 MB
~Get Your Files Here !/6 - Section 2 Collaborating within and across teams to manage data and Models/4 -2.2 Security Best Practices.mp446 MB
~Get Your Files Here !/6 - Section 2 Collaborating within and across teams to manage data and Models/5 -2.3 Tracking and running ML experiments.mp444 MB
~Get Your Files Here !/7 - Section 3 Scaling prototypes into ML models/1 -Section 3 - Overview.mp49.2 MB
~Get Your Files Here !/7 - Section 3 Scaling prototypes into ML models/2 -3.1 Building Models - Frameworks.mp43.6 MB
~Get Your Files Here !/7 - Section 3 Scaling prototypes into ML models/3 -3.2 Training Models.mp418.5 MB
~Get Your Files Here !/7 - Section 3 Scaling prototypes into ML models/4 -3.3 Choosing Appropriate Hardware.mp449.1 MB
~Get Your Files Here !/7 - Section 3 Scaling prototypes into ML models/5 -3.3 Distributed Training.mp448 MB
~Get Your Files Here !/8 - Section 4 Serving and Scaling Models/1 -Section 4 - Overview.mp413.9 MB
~Get Your Files Here !/8 - Section 4 Serving and Scaling Models/2 -4.1 Serving Model.mp454.3 MB
~Get Your Files Here !/8 - Section 4 Serving and Scaling Models/3 -4.2 Scaling Online Model Serving.mp458.4 MB
~Get Your Files Here !/9 - Section 5 Automating and Orchestrating ML pipelines/1 -Section 5 - Overview.mp414.1 MB
~Get Your Files Here !/9 - Section 5 Automating and Orchestrating ML pipelines/2 -5.1 Developing end-to-end ML Pipelines.mp447.7 MB
~Get Your Files Here !/9 - Section 5 Automating and Orchestrating ML pipelines/3 -5.2 Automating model Retraining.mp423.6 MB