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Managing Machine Learning Projects with Google Cloud
by Google Cloud Training- 4.6
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Approx. 14 hours to complete
Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact....
Building Resilient Streaming Analytics Systems on GCP
by Google Cloud Training- 4.6
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Approx. 12 hours to complete
*Note: this is a new course with updated content from what you may have seen in the previous version of this Specialization. Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud Platform....
Smart Analytics, Machine Learning, and AI on GCP
by Google Cloud Training- 4.6
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Approx. 8 hours to complete
Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud Platform depending on the level of customization required. For little to no customization, this course covers AutoML. Introduction...
Production Machine Learning Systems
by Google Cloud Training- 4.6
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Approx. 8 hours to complete
In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments. Prerequisites: Basic SQL, familiarity with Python and TensorFlow Welcome to the course Course Introduction Getting Started with Google Cloud Platform and Qwiklabs How to Send Feedback Architecting Production ML Systems...
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....
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