Machine learning and AI Bootcamp training at Colombo , Sri Lanka.

Posted on March 28, 2020 by uditha

Machine learning and AI Bootcamp training at Colombo , Sri Lanka.

Recently I did Data Science and Machine learning Bootcamp training at Sri Lanka.

This 3 days training was focus on getting started with Data Science technologies. Azure machine learning studio, R studio, Jupyter Notebook , Spyder with Python for data science. It also includes real world usage of machine learning for regression, classification and product recommendations.

Machine learning and AI Bootcamp training at Colombo , Sri Lanka.

Machine learning and AI Bootcamp training at Colombo , Sri Lanka.

Course Outline –

Introduction to Machine Learning

This module introduces machine learning and discussed how
algorithms and languages are used.

Lessons

· What is machine learning?

· Introduction to machine learning algorithms

· Introduction to machine learning languages

Introduction to Azure Machine Learning

Describe the purpose of Azure Machine Learning, and list the
  main features of Azure Machine Learning Studio.

Lessons

· Azure machine learning overview

· Introduction to Azure machine learning studio

· Developing and hosting Azure machine learning applications

Managing Datasets

At the end of this module the student will be able to explore
various types of data in Azure machine learning.

Lessons

· Categorizing your data

· Importing data to Azure machine learning

· Exploring and transforming data in Azure machine learning

Building Azure Machine Learning Models

This module describes how to use regression algorithms and
neural networks with Azure machine learning.

Lessons

· Azure machine learning workflows

· Using regression algorithms

· Using neural networks

Using Azure Machine Learning Models

This module explores how to provide end users with Azure
machine learning services, and how to share data generated
from Azure machine learning models. Lessons

· Deploying and publishing models

· Consuming Experiments

Introduction to Python

• Python History

• Installing Python

• Installing IDE

Data types

• Numbers

• Sequences

• File

• Tuples

• Dictionaries

Data Science Intro

• Why Python for Data Science

• Popular packages

• Use cases

• Popular Libraries

• Panda

• Numpy

• Matplotlib

• Scikit-learn

Working with data

• Reading & Writing to different data sources

• Cleaning data

• Visualization

• Data Transformation

Introduction to Deep Learning

· Deep learning basics

· Deep learning tools

· Introduction to neural network

· CNN, ANN, RNN neural network

Introduction to Tensor Flow

· Installing Tensor Flow

· Tensor Flow basics

· Basic Neural Networks using tenser flow

· Advanced Neural Networks using tenser flow (CNN, RNN, ANN)

Machine learning and AI Bootcamp training at Colombo , Sri Lanka.

24  software engineers attended 3 Days of training.

For Training Requirement Contact-

udithamail@yahoo.com

udithait@gmail.com

training@bluechiptraining.biz

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Applying Machine Learning for COVID-19 Dataset.

Posted on March 18, 2020 by uditha

Kaggle recently released dataset for COVID-19.

Applying Machine Learning for COVID-19 Dataset.

Dataset Description

In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a resource of over 29,000 scholarly articles, including over 13,000 with full text, about COVID-19, SARS-CoV-2, and related coronaviruses. This freely available dataset is provided to the global research community to apply recent advances in natural language processing and other AI techniques to generate new insights in support of the ongoing fight against this infectious disease. There is a growing urgency for these approaches because of the rapid acceleration in new coronavirus literature, making it difficult for the medical research community to keep up.

Applying Machine Learning for COVID-19 Dataset.

Call to Action

We are issuing a call to action to the world’s artificial intelligence experts to develop text and data mining tools that can help the medical community develop answers to high priority scientific questions. The CORD-19 dataset represents the most extensive machine-readable coronavirus literature collection available for data mining to date. This allows the worldwide AI research community the opportunity to apply text and data mining approaches to find answers to questions within, and connect insights across, this content in support of the ongoing COVID-19 response efforts worldwide. There is a growing urgency for these approaches because of the rapid increase in coronavirus literature, making it difficult for the medical community to keep up.

Most Common Words Experiment –

This experiment analyze common words used in the dataset using Text based ML Algorithms.

Applying Machine Learning for COVID-19 Dataset.

Applying Machine Learning for COVID-19 Dataset.

Applying Machine Learning for COVID-19 Dataset.

Applying Machine Learning for COVID-19 Dataset.

https://covid19-training.notebooks.azure.com/j/notebooks/most-common-words-in-the-cord-19-dataset.ipynb

Author – https://www.kaggle.com/paultimothymooney

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