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Introduction to TensorFlow
by Google Cloud Training- 4.4
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Approx. 19 hours to complete
This course is focused on using the flexibility and “ease of use” of TensorFlow 2. x and Keras to build, train, and deploy machine learning models. You will learn about the TensorFlow 2. x API hierarchy and will get to know the main components of TensorFlow through hands-on exercises. We will introduce you to working with datasets and feature columns....
Achieving Advanced Insights with BigQuery
by Google Cloud Training- 4.7
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Approx. 10 hours to complete
The third course in this specialization is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps. Lastly we will dive into optimizing your queries for performance and how you can secure your data through authorized views....
Recommendation Systems with TensorFlow on GCP
by Google Cloud Training- 4.5
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Approx. 13 hours to complete
In this course, you'll apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine. • Devise a content-based recommendation engine • Implement a collaborative filtering recommendation engine • Build a hybrid recommendation engine with user and content embeddings com/terms_of_service <<< Recommendation Systems Overview...
Feature Engineering
by Google Cloud Training- 4.5
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Approx. 18 hours to complete
Want to know how you can improve the accuracy of your ML models? What about how to find which data columns make the most useful features? Welcome to Feature Engineering where we will discuss good vs bad features and how you can preprocess and transform them for optimal use in your models....
Sequence Models for Time Series and Natural Language Processing
by Google Cloud Training- 4.4
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Approx. 15 hours to complete
This course is an introduction to sequence models and their applications, including an overview of sequence model architectures and how to handle inputs of variable length. • Predict future values of a time-series • Classify free form text • Address time-series and text problems with recurrent neural networks • Choose between RNNs/LSTMs and simpler models...
Image Understanding with TensorFlow on GCP
by Google Cloud Training- 4.6
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Approx. 12 hours to complete
This is the third course of the Advanced Machine Learning on GCP specialization. In this course, We will take a look at different strategies for building an image classifier using convolutional neural networks. We'll improve the model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting our data....
Art and Science of Machine Learning
by Google Cloud Training- 4.6
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Approx. 19 hours to complete
Welcome to the Art and Science of machine learning. This course is delivered in 6 modules. The course covers the essential skills of ML intuition, good judgment and experimentation needed to finely tune and optimize ML models for the best performance. Introduction Course Introduction Getting Started with Google Cloud Platform and Qwiklabs...
Google Cloud Big Data and Machine Learning Fundamentals en Español
by Google Cloud Training- 4.7
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Approx. 13 hours to complete
En este curso a pedido y acelerado de 1 semana, los participantes descubrirán las capacidades de los macrodatos y del aprendizaje automático de Google Cloud Platform (GCP). Además, se proporciona una descripción general rápida de Google Cloud Platform y más detalles sobre las capacidades de procesamiento de datos. Al finalizar este curso, los participantes podrán hacer lo siguiente:...
Applying Machine Learning to your Data with GCP
by Google Cloud Training- 4.7
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Approx. 10 hours to complete
In this module, we define what Machine Learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. PREREQUISITES To get the most out of this course, participants must complete the prior courses in this specialization:...
Google Cloud Big Data and Machine Learning Fundamentals 日本語版
by Google Cloud Training- 4.5
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Approx. 13 hours to complete
この 2 週間の速習オンデマンド コースでは、Google Cloud Platform（GCP）のビッグデータ機能と機械学習機能を紹介します。Google Cloud Platform の概要を簡単に説明した後、データ処理機能について詳しく説明します。 このコースを修了すると、受講者は次のことができるようになります。 • Google Cloud Platform のビッグデータと機械学習に関係する主要プロダクトの目的と価値を理解する • Cloud SQL と Cloud Dataproc を使用して既存の MySQL と Hadoop、Pig、Spark、Hive のワークロードを Google Cloud Platform に移行する • BigQuery と Cloud Datalab を使用してインタラクティブなデータ解析を実行する • Cloud SQL、Bigtable、Datastore のいずれかを選択する • TensorFlow を使用してニューラル ネットワークをトレーニングし、利用する • Google Cloud Platform のさまざまなデータ処理プロダクトについて理解し、選択する このコースは、次の 1 つ以上の分野で 1 年程度の経験がある方を対象としています。...
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