As time -series feature extraction have played an important role in analyzing trends, predicting future events and anomalies, it becomes important for data scientists to get acquainted with different libraries. One such library is tsfeatures
Close
Machine Learning
October 5, 2020
Importance of Service Mesh Networks for Scaling Enterprise AI
Enterprise AI has a host of micro-services which does algorithm pre-processing, training and post-processing. Along with Kubernetes which helps in service deployment and auto-scaling, explore how important Istio is and its predominant role
September 23, 2020
Most Useful C/C++ ML Libraries Every Data Scientist Should Know
Importance of C++ in Data Science and Big Data Introduction and Motivation – Why C++ C++ is ideal for dynamic load balancing, adaptive caching, and developing large big data frameworks, and libraries. Google’s MapReduce, MongoDB, most of the deep learning libraries listed below have been implemented using C++. Scylla known for its ultra-low latency and extremely high throughput is coded using C++ acts as a replacement to Apache Cassandra and Amazon DynamoDB. With some of […]
September 23, 2020
Summarizing Most Popular Text-to-Image Synthesis methods with Python
Comparative Study of Different Adversarial Text to Image Methods Introduction Automatic synthesis of realistic images from text has become popular with deep convolutional and recurrent neural network architectures to aid in learning discriminative text feature representations. Discriminative power and strong generalization properties of attribute representations even though attractive, its a complex process and requires domain-specific knowledge. Over the years the techniques have evolved as auto-adversarial networks in space of machine learning algorithms continue to evolve. In comparison, natural language offers an easy, general, and flexible plugin that can be used to […]
With the covid-19 coming in, not only the world economy has suffered, every sector say it political, social, religious of most countries have been affected. Can we mitigate this affect by predicting it its impact early?
