Agenda

Time - Plan for NWMLDS - 2020

Time 30th July 31st July 1st August 2nd August 3rd August
8:00-9:15


9:15-9:30
Keynote 2: Democratizing AI in Developing Countries (SM)


Short Break
Talk 6: Applications of Deep Learning on multi-scale physics based simulators (JD)

Short Break
Talk 10: Deep Learning for video classification: Application and state of the art approach (SRS)

Short Break
9:30-10:45


10:45-11:00
Inaguration



Networking + project discussion (for participants)



Keynote 3 : Robust Data Mining for not to be misled by Numbers (SA)

Short Break
Networking + project discussion (for participants)



Networking + project discussion (for participants)



11:00 -12:15


12:15 - 12:30
Keynote 1: Introduction to Machine Learning (SRJ)

Short Break
Talk 3: Artificial intelligence in Education 4.0 during/after Pandemic (MP)

Short Break
Talk 7: Shallow and deep learners for tabular dataset (RK)

Short Break
Poster presentation



Panel Discussion



12:30 -13:00


13:00 - 13:45
Sponsor Time


Lunch Break
Sponsor Time


Lunch Break
Sponsor Time


Lunch Break
Sponsor Time


Lunch Break
Sponsor Time


Lunch Break
13:45 - 15:00


15:00 - 15:15
Talk 1: Supervised Machine Learning pipeline: Step by step Tutorial (TBS)

Short Break
Talk 4: Effective Approaches and Machine Learning Algorithms to deal with time series data (JP)

Short Break
Talk 8: Machine Learning approach to solving natural language processing problems (BKB)

Short Break
Talk 11: Generative Adversarial Network (BB)



Short Break
Talk 13: Methods used for the development of deep learning for remote sensing applications (BM)

Short Break
15:00-16:30


Talk 2: Application of Machine Vision and Deep learning in Agriculture (AK)

Talk 5: On managing data science artifacts (RS)


Talk 9: Practical Reinforcement Learning (AP)


Talk 12: Big Data Processing with Pyspark (BG)


Talk 14: Causal Modelling (DR)



16:30-18:00


Project session (for participants)

Project session (for participants)

Project session (for participants)

Project session (for participants)

Closing Session


Workshop Topics

  • Machine Learning

    • Introduction
    • Basics of python (installation, execution, Packages)
    • Supervised Learning
    • Unsupervised Learning
    • Recent Advances in ML
  • Deep Learning

    • Convolution Neural Network
    • Transfer Learning
    • Recurrent Neural Network
    • Application of DL
  • Data Science

    • Data acquisition and Cleaning
    • Data Visualiation
    • Data Exploration
    • Data Analysis
    • Spatial data analysis
    • Big Data Analysis
    • Unstructured data analysis
  • Natural Language Processing

    • Basic of NLP and Computational Linguistics
    • Natural Language Understanding
    • Natural Language Generation

Panel Discussion: Scope of ML and DS in Nepal

List of Projects

Project 2: "Sentiment Analysis : An Analysis of Deep Learning Models":

In this project the idea is to implement 3 Sentiment Analysis models using LSTM, GRU and also CNN and compare accuracies.

Data source:

Project 3: Face detection for masks

We create a deep learning system using OpenCV and Keras/PyTorch/Tensorflow to determine if masks are worn or not.

Reference article: https://www.pyimagesearch.com/2020/05/04/covid-19-face-mask-detector-with-opencv-keras-tensorflow-and-deep-learning/

Project 4: Detect pneumonia using X-ray images
Project 5: Beginners project with Titanic dataset from Kaggle (for novice)
Project 6: Beginners project with hand-written character recognition (for novice)
Project 7: Stock price forecasting
Project 8: A project on Anomaly detection, dataset from Kaggle
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