What’s Driving the Cloud Data Warehouse Explosion? (RoboLab/Shutterstock) The advent of powerful data warehouses in the cloud is changing the face of big data analytics, as companies move their workloads into the cloud. According [...]
Deep Learning: Which Loss and Activation Functions should I use? The purpose of this post is to provide guidance on which combination of final-layer activation function and loss function should be used in a [...]
Bulk Mutation in an Integration Data Lake with Spark Data lakes act as repository of data from various sources, possibly of different formats. It can be used to build data warehouse or to perform [...]
Learning Alarm Threshold from User Feedback using Decision Tree on Spark Alarm fatigue is a phenomena where some one is exposed to large number of alarms, become desensitized to them and start ignoring them. It’s been [...]
Pluggable Rule Driven Data Validation with Spark Data validation is an essential component in any ETL data pipeline. As we all know most Data Engineers and Scientist spend most of their time cleaning and preparing [...]
Improving Elastic Search Query Result with Query Expansion using Topic Modeling Query expansion is a process of reformulating a query to improve query results and to be more specific to improve the recall for [...]
In Cassandra, rows are hash partitioned by default. If you want to data sorted by some attribute, column name sorting feature of Cassandra is usually exploited. If you look at the Cassandra slice range [...]
Anomaly Detection with Robust Zscore Anomaly detection with with various statistical modeling based techniques are simple and effective. The Zscore based technique is one among them. Zscore is defined as the absolute difference between [...]
Handling Categorical Feature Variables in Machine Learning using Spark Categorical features variables i.e. features variables with fixed set of unique values appear in the training data set for many real world problems. However, categorical variables [...]
How to build your own AlphaZero AI using Python and Keras Teach a machine to learn Connect4 strategy through self-play and deep learning In this article I’ll attempt to cover three things: Two reasons why AlphaZero [...]
From a specific use case to a full-scale modernization, share your requirements, and our engineers will take it from there. We typically respond within 24 hours with a transparent, detailed assessment of what's possible for your business.
We are a full-stack AI development company that helps enterprises make better decisions, reduce costs, and operate more efficiently.
333 West San Carlos Street, San Jose, CA 95110 USA
6000 Rome Blvd, Brossard, Quebec J4Y 0B6 Canada
Technopolis, Kolkata, India
CTIE, Hubli, India
We are a full-stack AI development company that helps enterprises make better decisions, reduce costs, and operate more efficiently.
333 West San Carlos Street, San Jose, CA 95110 USA
India: Kolkata, WB & Hubli, KA
Canada: Brossard, Quebec
