Machine Learning
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O'Reilly ebook: Machine Learning at Enterprise Scale
Real-world data science practitioners offer perspectives and advice on six common Machine Learning problems
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TDWI Checklist - The Automation and Optimization of Advanced Analytics Based on ML
TDWI drills into the data, tools, and platform requirements for machine learning
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Streamlining Operations of Machine Learning Models
Guest authors: Jerry Xu, Co-founder and CEO Datatron; Lekhni Randive, Product Manager, Datatron Qubole author: Jorge Villamariona, Sr. Product Marketing Manager, Qubole In today’s world,… The post...
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Analytics and ML simplified with Jupyter Notebooks and Apache Spark
Data scientists use Notebooks for data exploration, interactive data analytics, machine learning, and collaboration. Once set up, a Notebook provides a convenient way to save,… The post Analytics...
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Qubole brings machine learning to the data warehouse
Enabling Machine Learning on the Data Warehouse with Apache Spark on Qubole
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Data Wrangling and Predictive Analytics for the 2019 Cricket World Cup Using PySpark & Python
How to acquire, transform and analyze semi-structured data and apply predictive analytics to predict future performance
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How Data Science Teams Can Succeed at Machine Learning at Enterprise Scale
Strategies to address common challenges data science teams face as they scale up ML operations
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Using Qubole Notebooks to Predict Future Sales with PySpark
Build and use a time-series analysis model to forecast future sales from historical sales data
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Big Data Activation Report
The data on big data -- what engines are used most, for what, and which are the rising stars.
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Activating Big Data: The Key To Success with Machine Learning Advanced Analytics
How to make all of your data available to users for a multitude of use cases, ranging from analytics to machine learning and artificial intelligence.
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AgilOne: Machine Learning at Enterprise Scale
AgilOne runs a variety of workloads for querying data, running ML models, orchestrating ML workflows, and more on Qubole
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Leveraging Streaming and Batch Data Sets for ML Applications
Learn how to use Qubole to acquire and transform data sets for data science and analytics, make data sets available to different users, and fully leverage your data lake.
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TrafficGuard Halts Digital Ad Fraud with Qubole
TrafficGuard relies on big data processing to detect and prevent ad fraud, which requires a robust infrastructure.
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Return Path Accelerates Data Science Projects, Saves Thousands in Compute Costs with Qubole
Return Path drove down compute costs and was able to deliver self-service access to data with Qubole
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Spotad: Rebuilding and Optimizing Real-Time Mobile Adverting Bidding with Qubole
Migrating to Qubole saved Spotad more than 50 percent in its operating costs almost instantly.
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