Provide a larger picture of Machine Learning (problems, techniques, challenges etc.) to beginner and/or moderate level of audience interested to explore about Machine Learning.
To acquaint the audience with the different libraries, tools and frameworks for implementing Machine Learning
Give a hands-on experience about machine learning based on real world examples ( Dataset preparation, Developing a model, Training and Testing the model, Evaluating the model)
Resource persons:
Dr. Bal Krishna Bal, Associate Professor, Information and Language Processing Research Lab, Department of Computer Science and Engineering.
Mr. Santosh Regmi, Co-founder and CEO, KEIV Technologies, Assistance Professor Gandaki College of Engineering and Science.
">Training Description
Objectives:
Provide a larger picture of Machine Learning (problems, techniques, challenges etc.) to beginner and/or moderate level of audience interested to explore about Machine Learning.
To acquaint the audience with the different libraries, tools and frameworks for implementing Machine Learning
Give a hands-on experience about machine learning based on real world examples ( Dataset preparation, Developing a model, Training and Testing the model, Evaluating the model)
Resource persons:
Dr. Bal Krishna Bal, Associate Professor, Information and Language Processing Research Lab, Department of Computer Science and Engineering.
Mr. Santosh Regmi, Co-founder and CEO, KEIV Technologies, Assistance Professor Gandaki College of Engineering and Science.
Training Syallabus
July 1, 2018 ( 9:30 AM to 12:30 PM )
Introduction to Machine Learning
Fundamentals of Machine Learning
o Machine Learning Perspective of Data
o Feature Engineering
o Machine Learning Problems
§ Classification
§ Regression
§ Clustering
o Machine Learning Approaches
§ Supervised
§ Semi-supervised
§ Unsupervised
Evaluating and fine-tuning machine learning models
July 1, 2018 ( 1:00 PM to 3:30 PM )
- Overview of tools and libraries
- Walk through of live demos and examples
- Dataset preparation for Day 2 hands-on
July 2, 2018 ( 9:30 AM to 12:30 PM )
- Recurrent Neural Network
- Deep and Natural Language Processing
- Reinforcement LearningJuly 2, 2018 (1:00 PM to 3:30 PM )
Hands-on tutorials
o Text classification
o Sentiment Analysis
Topic Modeling
Training Fee