Google Cloud Big Data and Machine Learning Blog

Innovation in data processing and machine learning technology

Using Google Cloud Machine Learning to predict clicks at scale

Tuesday, February 21, 2017

Learn how Google Cloud Machine Learning and TensorFlow make it easy to train models on very large amounts of data

Adding machine learning to a serverless data analysis pipeline

Tuesday, February 21, 2017

In the right architecture, machine-learning functionality takes data analytics to the next level of value.

5 can’t-miss sessions about machine learning at Google Cloud NEXT ‘17

Thursday, February 16, 2017

As reflected in the conference agenda, implementation of machine learning across all kinds of apps is a major focus at Google Cloud NEXT ‘17.

Google Cloud and YouTube-8M Challenge: Predict YouTube video tags for a chance to win up to $30K

Wednesday, February 15, 2017

Learn about the Google Cloud and YouTube-8M Challenge on Video Understanding.

Jeff Dean on machine learning, part 2: TensorFlow

Monday, February 13, 2017

Jeff Dean talks about TensorFlow, the machine learning toolkit open sourced by Google.

Crowning the rat capital of New York: importing data for analysis with Google BigQuery

Thursday, February 9, 2017

In this installment of #TILwBQ, import a new table into BigQuery to investigate the increase in rat complaints in the open NYC dataset.

The book for getting hands-on with machine learning, deep learning and TensorFlow

Tuesday, February 7, 2017

This new book from YouTube’s former video-classification lead introduces readers to concepts as well as practical implementations of deep learning.

5 can’t-miss sessions about big data and analytics at Google Cloud NEXT ‘17

Monday, February 6, 2017

For data engineers, scientists, and analysts, Google Cloud NEXT ‘17 is a required stop on the conference circuit.

Four seasons in one post: using Google BigQuery to explore weather effects on NYC

Thursday, February 2, 2017

With over 150GB of New York City public data, parsing for patterns and insights is a challenge. Learn how to use the CORR function to find correlations.

Jeff Dean on machine learning, part 1: surveying the landscape

Wednesday, February 1, 2017

Google Senior Fellow and leader of the Google Brain research team, Jeff Dean, describes the current landscape of machine learning past, present and future

Understanding cost-versus-speed tradeoffs in Google Cloud Dataflow batch pipelines

Tuesday, January 31, 2017

Grasping the trade-offs between cost and speed is the first step in improving the efficiency of your data pipelines

How to run a terabyte of Google BigQuery queries each month without a credit card

Wednesday, January 25, 2017

New to BigQuery and interested in playing with our public datasets? You can process your first terabyte of data, every month, at no cost.

Scaling exactEarth’s satellite vessel-tracking service using GeoMesa on Google Cloud Platform

Monday, January 23, 2017

Google Cloud Bigtable, Google Cloud Dataproc and GeoMesa are the main components in this solution for global geospatial analytics

Learn TensorFlow and deep learning, without a Ph.D.

Thursday, January 19, 2017

This 3-hour course offers developers a quick introduction to deep-learning fundamentals

New York City public datasets now available on Google BigQuery

Wednesday, January 18, 2017

This rich dataset makes it easy to learn how to explore and visualize data using BigQuery

Learn real-time processing with a new public data stream and Google Cloud Dataflow codelab

Tuesday, January 17, 2017

With this new codelab and public data, discover what you can do with just a couple of lines of Java and Cloud Dataflow.

Registration now open for Google Data Engineer Certification exam in beta

Friday, January 13, 2017

We invite you to take the Google Data Engineer Certification exam. Register by January 31 for a 40% discount.

New codelab: running OpenCV on Google Cloud Dataproc using Apache Spark

Thursday, January 12, 2017

Cloud Dataproc makes it easy to use external libraries, such as OpenCV, for computation and data processing on extremely large datasets

Finding the sentiment-analysis signal in the noise with Google Cloud Dataflow

Wednesday, January 11, 2017

Freedom to focus on computational problems instead of infrastructure pays off for all kinds of machine learning workloads regardless of the algorithm used

Apache Beam graduates from incubation: Try it today on Google Cloud Dataflow

Tuesday, January 10, 2017

Beam is now a Top Level Project at the ASF, and its future looks brighter than ever — including for Google Cloud Dataflow users

How Google Cloud Pub/Sub supports long-running workloads

Thursday, January 5, 2017

Implementing a cost-effective architecture for long-running tasks can be complex; this solution based on Google Cloud Pub/Sub can help.

Google BigQuery concepts for data warehousing pros

Wednesday, January 4, 2017

This new guide helps users map data warehousing concepts and terminology to those used in BigQuery.

New features in the Google Cloud Natural Language API, thanks to your feedback

Tuesday, January 3, 2017

The GA release of Cloud Natural Language API is easier to use, better at recognizing language nuances and adds additional support for Spanish and Japanese

How to classify images with TensorFlow using Google Cloud Machine Learning and Cloud Dataflow

Friday, December 16, 2016

For specialized image-classification use cases, using Cloud Dataflow and Cloud ML makes it easy to train and serve machine-learning models.

Google BigQuery public datasets now include Stack Overflow Q&A

Thursday, December 15, 2016

Exploring hidden trends and relationships in Stack Overflow data is a good lesson in doing SQL analytics with Google BigQuery.

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