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Temario<\/h2>\n
Module 1: How Google Does Machine Learning<\/p>\n
Develop a data strategy around machine learning.
\nExamine use cases that are then reimagined through an ML lens.
\nRecognize biases that ML can amplify.
\nLeverage Google Cloud Platform tools and environment to do ML.
\nLearn from Google’s experience to avoid common pitfalls.
\nCarry out data science tasks in online collaborative notebooks.
\nInvoke pre-trained ML models from Cloud AI Platform.
\nModule 2: Launching into Machine Learning<\/p>\n
Describe how to improve data quality.
\nPerform exploratory data analysis.
\nBuild and train supervised learning models.
\nOptimize and evaluate models using loss functions and performance metrics.
\nMitigate common problems that arise in machine learning.
\nCreate repeatable and scalable training, evaluation, and test datasets.
\nModule 3: Introduction to TensorFlow 2.x<\/p>\n
Create TensorFlow 2.x and Keras machine learning models.
\nDescribe Tensorflow 2.x key components.
\nUse the tf.data library to manipulate data and large datasets.
\nUse the Keras Sequential and Functional APIs for simple and advanced model creation.
\nTrain, deploy, and productionalize ML models at scale with Cloud AI Platform.
\nModule 4: Feature Engineering<\/p>\n
Compare the key required aspects of a good feature.
\nCombine and create new feature combinations through feature crosses.
\nPerform feature engineering using BQML, Keras, and TensorFlow 2.x.
\nUnderstand how to preprocess and explore features with Cloud Dataflow and Cloud Dataprep.
\nUnderstand and apply how TensorFlow transforms features.
\nModule 5: Art and Science of Machine Learning<\/p>\n
Optimize model performance with hyperparameter tuning.
\nExperiment with neural networks and fine-tune performance.
\nEnhance ML model features with embedding layers.
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25 horas<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"2880","footnotes":""},"categories":[53,9,11],"tags":[],"class_list":["post-4132","post","type-post","status-publish","format-standard","hentry","category-cloud-computing","category-cursos","category-cursos-de-it"],"acf":[],"_links":{"self":[{"href":"https:\/\/grupoloyal.net\/wp-json\/wp\/v2\/posts\/4132","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/grupoloyal.net\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/grupoloyal.net\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/grupoloyal.net\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/grupoloyal.net\/wp-json\/wp\/v2\/comments?post=4132"}],"version-history":[{"count":0,"href":"https:\/\/grupoloyal.net\/wp-json\/wp\/v2\/posts\/4132\/revisions"}],"wp:attachment":[{"href":"https:\/\/grupoloyal.net\/wp-json\/wp\/v2\/media?parent=4132"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/grupoloyal.net\/wp-json\/wp\/v2\/categories?post=4132"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/grupoloyal.net\/wp-json\/wp\/v2\/tags?post=4132"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}