Online learning has been around in different forms for over 60 years, but it has become more prevalent in its constantly evolving state than ever. From the crude, elementary days of “distance learning,” where mail-order courses were all the rage, to today’s MOOCs and PBL (Project-based learning) taken by millions of students globally, learning for the masses on-demand is no more a thing of the future -it is now with us!
Kubernetes has, in the recent past, become the go to standard for building applications running multiple containers. Using Kubernetes comes with the need to run cloud-native distributed databases. One of the prominently emerging cloud-native, open-source NewSQL databases is TiDB.
By deploying TiDB on KubeSphere, this article demonstrates how you can have TiDB clusters powered by Kubernetes and how to manage the clusters using an easy to use web interface.
What is TiDB and KuberSphere? TiDB, an open-source NewSQL database, supports Hybrid Transactional and Analytical Processing (HTAP) workloads. TiDB is MySQL compatible and contains features such as; horizontal scalability, a…
Education Ecosystem, a peer-to-peer project-based online learning platform is excited to welcome Asad Zeeshan as the new Marketing Manager. Asad will be responsible for formulating and shaping the project’s massive and aggressive expansion efforts as we penetrate into new Asian, European, and African markets. Asad will build on the work we have done and results we have achieved over the past few years to lead us into further growth and success.
He has worked with several European startups, securing successful results and rapid growth. Asad has 16 years of successful experience in business and digital marketing. …
Education Ecosystem is excited to announce the release of a new white paper version (v4.3) that outlines the project’s vision. There are notable changes from the previous version (v4.2), and they are all in line with our aim to become a market leader in peer-to-peer project-based learning. The new white paper version has an additional section as we march on toward our initial goals.
We will be guided by our roadmap as we navigate through 2021 with the same resilience and tenacity that has carried us since launching our project in 2015.
Our activities will center around aggressive expansion to…
Data understanding is a crucial data analysis stage according to the CRISP-DM standard (Cross-industry standard process for data…
Append your Ether address at the end of the URL given below to see your LEDU tokens.
For example, if your Ether address is: 0xd704585e5821f2c1e8fb7864b0fe727fe46e457b
Then attach the Ether address at the end of the URL:
You should be able to see your new LEDU tokens.
If you see your new tokens on Etherscan but they are not yet visible in your wallet, make an online search on how to add new tokens to your specific wallet. Then follow the instructions in the guideline to add the new tokens.
You will quickly learn and use Google Colab if you know and have used Jupyter notebook before. Colab is basically a free Jupyter notebook environment running wholly in the cloud. Most importantly, Colab does not require a setup, plus the notebooks that you will create can be simultaneously edited by your team members — in a similar manner you edit documents in Google Docs. The greatest advantage is that Colab supports most popular machine learning libraries which can be easily loaded in your notebook.
What Colab Offers You?
As a developer, you can perform the following using Google Colab;
Before doing any data analysis, the need to find out any outliers in a dataset arises. These outliers are known as anomalies.
Petastorm, an open-source data access library, enables single-node or distributed training as well as evaluation of deep learning models precisely from datasets in Apache Parquet format and datasets that are already loaded as Apache Spark DataFrames. As Andrey, a U.S.-based Python engineer, notes, it supports popular Python-based machine learning (ML) frameworks including Tensorflow, PyTorch, and PySpark. For more information about Petastorm, refer to the Petastorm GitHub page and Petastorm API documentation.
Petastorm enables either single machine or distributed training, as well as support for multiple Python-based ML frameworks such as NumPy, Tensorflow, Theano, Pytorch, and PySpark. …
Cloud9 provides a development environment in the cloud. Cloud9 enables developers to get started with coding immediately with pre-setup environments called workspaces, collaborate with their peers with collaborative coding features, and build web apps with features like live preview and browser compatibility testing. It supports more than 40 languages, with top class support for PHP, Ruby, Python, Node.js, and Go Language.
How Does AWS Cloud9 Work?
The AWS Cloud9 IDE, running in a web browser on your local computer, interacts with your AWS Cloud9 environment. A computing resource, for example an Amazon EC2 instance or your own server, connects…