Insights and Perspectives to keep you updated
Reading Time: 3 minutes Hello Readers!!! In this article, we will see how we can create an eventbridge application in python. First we will see create a python application that will send custom events to eventBridge. Then if rule matches, target will be invoked which would be lambda function in our case. And lambda will prints the event details in the cloud watch. Create an eventbridge project : 1.First Continue Reading
Reading Time: 5 minutes Hello, Readers hope all are doing well and liked my previous blogs on various DevOps tools and practices. If you have not gone through these blogs you can click here for them. Now in this blog, we will check provision AWS Services from Boto3 like ECS and ECR but first, we will understand some basic concepts or components we are going to use here. What Continue Reading
Reading Time: 3 minutes In this blog, we will be learning about continual learning (CI) importance in artificial intelligence. Continual Learning means the ability of a model to learn independently whenever new data comes in. Some may know it as auto-adaptive learning, or continual AutoML. The idea of CL is to mimic human’s ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their lifespan. For example, we’ve Continue Reading
Reading Time: 4 minutes Sometimes it is tricky to make a decision about the new learnings one should pursue to elevate and leverage their proficiency levels in the ‘Languages’ space, especially in the big data ecosystem where plenty of languages are in use and a lot are being adopted at a very rapid pace. As the data is growing exponentially, so is the tech stack. If one looks around, Continue Reading
Reading Time: 3 minutes In this blog, we will be learning about Tensorflow Extended (TFX) components and libraries. TFX is a Google-production-scale machine learning (ML) platform based on TensorFlow. It provides a configuration framework and shared libraries. Moreover, to integrate common components needed to define, launch, and monitor your machine learning system. How Tensorflow Extended (TFX) came up? Since the time Google has publicized Tensorflow, its application in Deep Continue Reading
Reading Time: 4 minutes Plotly is a very important and beautiful Library of data science. It is an open-source library. It also supports both framework python and Django It has so many types of graphs like scatter, bar, pie bubble, dot treemap, etc. What is Plotly ? Plotly library which is an open-source and without charge kind of library. The utilize of Plotly for statistical analysis of data enables Continue Reading
Reading Time: 4 minutes Python is extensively used for file handling and operations performed in a file. It supports multiple programming paradigms such as: Structured Programming Object-oriented Programming Functional Programming File Handling Python has its own standard library which is very extensive and offers a wide range of functionalities such as I/O handling and standard solutions to many problems that arise during execution. It uses dynamic typing to verify Continue Reading
Reading Time: 4 minutes For any Data Scientist, its very normal to deal with data sets having missing terms and still be able to manage and create a good predictive model out of it. Here we will discuss some techniques to handle missing data in a given data set. Missing Value occur when no data is stored for a variable or feature. It could be represented as “?”, “NA”, Continue Reading
Reading Time: 4 minutes SpaCy is a free, open-source library for advanced Natural Language Processing (NLP) in Python. If you’re operating with plenty of text, you’ll eventually want to know more about it. For example, what’s it about? What do the phrases suggest in context? Who is doing what to whom? Which texts are just like every other? Certainly, spaCy can resolve all the problems stated above. Linguistic Features in SpaCy SpaCy goes Continue Reading
Reading Time: 4 minutes Why Pandas for data Analysis? Real ‘raw’ data needs a lot of ‘wrangling’ operations before it can be ready for dissection by a data scientist one of the popular tools for data wrangling in python is Pandas. Because of the availability of widespread packages of Pandas for almost every possible function. The library Pandas is one such package that makes life easier especially for data analysis. Through Continue Reading
Reading Time: 5 minutes Imagine the first day of a new Apache Spark project. The project manager looks at the team and says: which one to choose, scala or python. So let’s start with “scala vs python for spark”. You may wonder if this is a tricky question. What does the enterprise demand say? Is this like asking iOS or Android? Is there a right or wrong answer? So Continue Reading
Reading Time: 4 minutes What is Functional Programming? “Functional programming is a programming paradigm that treats computation as the evaluation of mathematical functions and avoids state and mutable data”. In other words, functional programming (FP) promotes code with no side effects and immutable variables. It is a declarative type of programming style. Its main focus is on “what to solve” in contrast to an imperative style where the main Continue Reading
Reading Time: 3 minutes Ansible is an open-source automation engine that automates software provisioning, configuration management, and application deployment. It is quickly becoming the popular configuration management tool today. It lets you to control and config the target nodes from single host machine. As we know the only requirement in target machine is the modern version of python installed. But what if the python version is not installed on Continue Reading