Google Cloud Big Data and Machine Learning Blog

Innovation in data processing and machine learning technology

Problem-solving with ML: automatic document classification

Wednesday, January 10, 2018

Learn how to build a machine learning-based document classifier by exploring this scikit-learn-based Colab notebook and the BBC news public dataset.

Improving the efficiency of your helpdesk with serverless machine learning

Thursday, December 28, 2017

Learn how to augment user-submitted data in helpdesk tickets to reduce completion time, using the Natural Language Processing API and Cloud ML Engine.

Busting 12 myths about BigQuery

Friday, December 22, 2017

From our experience with a variety of customers, both enterprises and startups included, we debunk 12 common BigQuery myths.

New in TensorFlow 1.4: converting a Keras model to a TensorFlow Estimator

Monday, December 18, 2017

Learn how to convert a Keras model into a TensorFlow Estimator, using a text classifier as an example. This conversion is newly possible in TensorFlow 1.4.

Bringing Cloud ML Engine to more developers with online prediction features and reduced prices

Thursday, December 14, 2017

We're announcing price reductions for Google Compute Engine GPU instances and Cloud ML Engine while enabling online prediction as a service.

Real-time forecasts in the cloud: from market feed capture to ML predictions

Thursday, December 14, 2017

Learn how to set up a price prediction engine using the Thomson Reuters FX live data feed, the TensorFlow Estimator object, and Cloud Datalab.

Drawings in the Cloud: introducing the Quick, Draw! dataset

Friday, December 8, 2017

After Quick, Draw! has captured over a billion doodles, a dataset of 50 million drawings is now available in BigQuery and Cloud Datastore.

Analyzing tweets using Cloud Dataflow pipeline templates

Wednesday, December 6, 2017

Learn how to use App Engine and Cloud Dataflow jobs to analyze a data stream of tweets, then store them in BigQuery.

Cloud Video Intelligence and Cloud Natural Language Content Classification are now generally available

Tuesday, December 5, 2017

Cloud Video Intelligence and Cloud Natural Language Content Classification are now generally available.

Building a better GIPHY with Google Cloud’s machine learning tools

Tuesday, December 5, 2017

GIPHY's Director of Engineering explains how GIPHY uses Cloud Vision and NLP APIs to create better machine learning-derived captions for their GIFs.

Focus on Security: BigQuery announces support for customer managed encryption keys and custom roles for Identity Access and Management

Monday, December 4, 2017

BigQuery now includes new security-focused features, including the Cloud Key Management Service, beta custom roles for IAM, and sorting options.

Analyzing text in a Google Sheet using Cloud Natural Language API and Apps Script

Friday, December 1, 2017

Try out Apps Script on a Google Sheet populated with a Kaggle Dataset: interpret with Cloud Natural Language, and visualize the output in DataStudio.

Google Cloud provides a unified, streamlined way to execute your ML strategy

Thursday, November 30, 2017

BigQuery lets you devise and apply a robust machine learning strategy to your data, using Dataprep, ML Engine, Dataflow, and Datalab.

Separation of storage and compute in BigQuery

Wednesday, November 29, 2017

BigQuery permits you to separate storage from compute, allowing you to scale both independently. Learn the advantages to keeping your data serverless.

Using Apache Spark with TensorFlow on Google Cloud Platform

Tuesday, November 28, 2017

Google Cloud provides managed services for Apache Spark and TensorFlow, called Cloud Dataproc and Cloud ML Engine, respectively. Learn how they integrate.

Cloud OnAir shows you how to get ML-derived insight out of your data

Monday, November 20, 2017

Learn to apply machine learning to your data at Cloud OnAir: The Journey from Big Data to AI, an online event comprising of a series of webinars, Q&As.

Announcing BigQuery Data Transfer Service general availability

Thursday, November 16, 2017

BigQuery Transfer Service, newly available, allows you to ship data to BigQuery within 24 hours of arrival, according to the Data Delivery SLA.

How to integrate Dialogflow with Chatbase for easier bot analytics

Thursday, November 16, 2017

Build better conversational experiences with Dialogflow and Chatbase, for voice or text chatbots.

Automating ML and IoT with cloud-based image rendering, training, and device delivery

Tuesday, November 14, 2017

How to train TensorFlow models in the cloud on rendered images of the objects you plan to recognize on embedded IoT vision systems.

Using Apache Beam and Cloud Dataflow to integrate SAP HANA and BigQuery

Monday, November 13, 2017

How to integrate SAP HANA and BigQuery using Apache Beam and Cloud Dataflow, with examples including a Wikipedia dataset.

Scheduling and sampling arrive for Google Cloud Dataprep

Monday, November 6, 2017

Explore the new UI improvements and the addition of scheduling and sampling to Cloud Dataprep.

Google Patents Public Datasets: connecting public, paid, and private patent data

Tuesday, October 31, 2017

Explore international patent data through new datasets accessible in BigQuery. You can try out some example queries, or integrate ours with your own data.

Creating custom interactive dashboards with Bokeh and BigQuery

Wednesday, October 25, 2017

In addition to DataStudio, you can use Bokeh to build robust data visualization dashboards on BigQuery. Check out our tutorial and sample datasets.

Get to know your trees: US Forest Service (FIA) dataset now available in BigQuery

Tuesday, October 24, 2017

Access the US Forest Service FIA dataset, enhanced and newly available in BigQuery. Get to know your forests through data analysis.

Halite helps students and developers compete to build better AI on Google Cloud Platform

Monday, October 23, 2017

Two Sigma, Google Cloud customer, is announcing the Halite II challenge to build and compete with an AI bot to win a space exploration game.

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