What is the future for Machine learning/Deep learning with GoLang !
Published:
Machine Learning/Deep learning & GoLang? How does it work? or Do they have any future together? Golang VS Python?
Posts by Tags
Kibana
Logstash
Adjusted Rand Index
What is Adjusted Rand Index and How it works!
Published:
Adjusted Rand Index(ARI) is one of the widely used metrics for validating clustering performance
Apache Flink
Deploying YOLO Object Detection Model With DeepLearning 4 Java & Apache Flink in Kubernets Cluster Using Raspberry PI!
Published:
I was trying to test how object detection model working on kuberenets cluster with apache flink. As i love to do everything in java rather than python, i wanted to give a shot for DeepLearning4j API. This API has been built for running various deep learning model on top of Java. it works pretty good. I set up a kubernets cluster to run the Apache Flink and deploy the YOLO model with flink configuration to see how it works. Let’s move on to step by step process.
Apache Kafka
Anomaly Detection with Docker, Filebeat, Kafka, ELK Stack and Machine Learning (Part -1)
Published:
What is ELK stands for?
Apache Spark
Anatomy of Semi-Structured(JSON) data with PYSPARK
Published:
Outlines
Artificial Intelligence
Training and Vizualizing Self Organizing Map(SOM) with Numerical Data
Published:
Recently i have started working in a cognitive science project. In our project, we wanted to use Self organising Map(SOM) for some cluster analysis purpose. While doing some research and implementation with SOM, i felt i could share my experience and learning with everyone and i will discuss step by step. I have implemented SOM with numerical dataset, the dataset is not so big either small. I will present and discuss the result a bit. Note: Data is not public , so not possible to share.
Clustering
What is the future for Machine learning/Deep learning with GoLang !
Published:
Machine Learning/Deep learning & GoLang? How does it work? or Do they have any future together? Golang VS Python?
What is Adjusted Rand Index and How it works!
Published:
Adjusted Rand Index(ARI) is one of the widely used metrics for validating clustering performance
Deep Learning
Deploying YOLO Object Detection Model With DeepLearning 4 Java & Apache Flink in Kubernets Cluster Using Raspberry PI!
Published:
I was trying to test how object detection model working on kuberenets cluster with apache flink. As i love to do everything in java rather than python, i wanted to give a shot for DeepLearning4j API. This API has been built for running various deep learning model on top of Java. it works pretty good. I set up a kubernets cluster to run the Apache Flink and deploy the YOLO model with flink configuration to see how it works. Let’s move on to step by step process.
Docker
Anomaly Detection with Docker, Filebeat, Kafka, ELK Stack and Machine Learning (Part -1)
Published:
What is ELK stands for?
Elastic Search
Filebeat
Anomaly Detection with Docker, Filebeat, Kafka, ELK Stack and Machine Learning (Part -1)
Published:
What is ELK stands for?
Json
Anatomy of Semi-Structured(JSON) data with PYSPARK
Published:
Outlines
Machine Learning
Anomaly Detection with Docker, Filebeat, Kafka, ELK Stack and Machine Learning (Part -1)
Published:
What is ELK stands for?
What is the future for Machine learning/Deep learning with GoLang !
Published:
Machine Learning/Deep learning & GoLang? How does it work? or Do they have any future together? Golang VS Python?
What is Adjusted Rand Index and How it works!
Published:
Adjusted Rand Index(ARI) is one of the widely used metrics for validating clustering performance
Neural Network
Training and Vizualizing Self Organizing Map(SOM) with Numerical Data
Published:
Recently i have started working in a cognitive science project. In our project, we wanted to use Self organising Map(SOM) for some cluster analysis purpose. While doing some research and implementation with SOM, i felt i could share my experience and learning with everyone and i will discuss step by step. I have implemented SOM with numerical dataset, the dataset is not so big either small. I will present and discuss the result a bit. Note: Data is not public , so not possible to share.
Object Detection
Deploying YOLO Object Detection Model With DeepLearning 4 Java & Apache Flink in Kubernets Cluster Using Raspberry PI!
Published:
I was trying to test how object detection model working on kuberenets cluster with apache flink. As i love to do everything in java rather than python, i wanted to give a shot for DeepLearning4j API. This API has been built for running various deep learning model on top of Java. it works pretty good. I set up a kubernets cluster to run the Apache Flink and deploy the YOLO model with flink configuration to see how it works. Let’s move on to step by step process.
SOM
Training and Vizualizing Self Organizing Map(SOM) with Numerical Data
Published:
Recently i have started working in a cognitive science project. In our project, we wanted to use Self organising Map(SOM) for some cluster analysis purpose. While doing some research and implementation with SOM, i felt i could share my experience and learning with everyone and i will discuss step by step. I have implemented SOM with numerical dataset, the dataset is not so big either small. I will present and discuss the result a bit. Note: Data is not public , so not possible to share.