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DR. RAZEEF MOHAMMADML & AI Expert
ER. FALAK JANAI-Expert
DR. NAVEED HAMIDBDA, IDP, SKUAST-K
SKUAST - KASHMIRNational Agricultural Higher Education
Project
Shalimar Srinagar 190025 | [email protected], 0194-2461394
COURSE COORDINATORS
COURSE DIRECTOR
CO-PATRONPROF NAZIR AHMAD GANAIDirector Planning &
Monitoring, PI, NAHEP SKUAST Kashmir
PATRONPROF MUSHTAQ AHMAD
Hon’ble Vice-Chancellor, SKUAST Kashmir
DR. SAMEERA QAYOOOMNodal Oficer, AMFU, SKUAST-K
Hands-on Training on
MACHINE LEARNINGA Practical Approach
10th - 31st December, 2020
National Online
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SKUAST-K AT A GLANCE
SKUAST-Kashmir, a leading institution in hill and mountain
agriculture, stands among the top 10 SAUs in the country, and
listed amongst the best institutes like IITs for 2 consecutive
years as the Winners of the University Challenge program for 2018
and 2019 under India Innovation Growth program (IIGP). SKUAST-K has
recently been awarded the ICAR-World bank funded project worth Rs
30 corer on Institutional Development Plan under National
Agriculture Higher Education Project. Our proposal has been
adjudged innovative by the ICAR and World Bank experts, in
generating the next-gen human capital capable of driving the
knowledge based and technology driven agri-economy. We aim to
achieve our cher-ished goal by working in close synergy with the
peer institutes and the industry partners, to churn the graduates
with qualities for creativity, innovation, entrepreneurship and
with passion for leadership skills of the 4th industrial
revolution, passion for discovery of new knowledge and technologies
to keep businesses competitive.
THEME OF THE WORKSHOP
Artificial Intelligence (AI) and Machine Learning (ML) is a
method of training computer through artificial facts and figures in
order to make the system intelligent and hence to take decisions
independently and appropriately. An AI & ML trained system
behaves just like a human being and does not need human
intervention. AI & ML trained system will find an optimal
solution to a problem under different circumstances. In the recent
re-search development, one can find diversified applications of AI
and ML in different field. In future, Artificial intelligence will
play an even greater role in numerous industries & scenarios.
To remain fit for this future, companies have to deal with basics
of Artificial Intelligence & Machine Learning. These basics are
imparted in this workshop on Machine Learning, which bundles the
sheer flood of information & offers a compact overview of
theory and hands-on session in machine learning.
OBJECTIVES OF THE WORKSHOP
• To understand the background and basics of Machine
Learning.
• To understand the basic mathematics behind Machine learning
concepts.
• To learn one of the programming languages (python), for
implementing and using ML algorithms.
• Understanding popular ML algorithms
• Prepare data, deal with missing value and perform Data
Analysis.
• Searching patterns in data using Machine Learning
Algorithms
• Understanding how ML can be used to solve different real-world
problems with a real-world use case from Agricultural Science.
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TAKE AWAYS
• Participants/Students will be able to understand the
fundamentals of AI & ML.
• Participants/Students will be able to understand the real-time
applicability of ML & AI in Agriculture and allied sectors.
• Participants/Students will understand the basic Machine
learning algorithms, data visualization and data analyzing
technique.
• Participants/Students will learn basics python programming
language.• Participants/Students should be able to implement and
use basic ML algorithms. • Participants/Students should be able to
solve a real-world problem using real-world dataset.
PRE-REQUISITES:
• Laptop | Internet Connectivity | Basic Computer Skills | Basic
Mathematical Concepts
Contact details for registration
Training Coordinators
Dr. Razeef MohammadML & AI Expert IDP
9682535695
Dr. Naveed BhatBDA, IDP SKUAST-Kashmir
7006831280
Er. Falak JanAI-Expert, SKUAST-Kashmir
7051860663
Contact Address:IDP, NAHEP SecretariatSKUAST KashmirShalimar,
Srinagar J&K (UT)
Email: [email protected]
REGISTRATION FEE
Rs. 500/- (Inclusive of GST) for Students/Faculty/Research
ScholarsMode of Payment: Online Only
For Payment detailsBank Name: Jammu & Kashmir BankAccount
Name: Incharge, Head Section of Agronomy SKUAST-KAccount Number:
0242010200000052IFSC Cose: JAKA0SKUAST
HOW TO APPLYThe participants may log on to the SKUAST Kashmir
websitehttps://skuastkashmir.ac.in/DisplayDivision.aspx?id=10012and
fill up the Google doc application form Registration Link
Scan this QR Code for registration
https://forms.gle/YGZr6ab7cbH5pT2c7
E-Certificate will be provided to each participants after
successful completion of the Training Programme
https://skuastkashmir.ac.in/DisplayDivision.aspx%3Fid%3D10012%20http://forms.gle/WEjBQKL9PJaHKagJ7
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Training Schedule
S. No. Name of Expert Topic
1 MR. MONIS KHANCEO Datoin, Bangalore India
Introduction to Machine learning What does learning
meanDifference between explicitly programming the machine and
learning from data itself Application of machine learning in
industry/market
2
DR. MOHSIN ALTAF WANIAssistant Professor University of
Kashmir
Mathematical Background Linear Regression with One Variablecost
function, Gradient Descent, Gradient Descent for Linear
regression.Mathematical Background continueIntroduction to vectors,
matrices, matrix multiplication, Entropy, Cross entropy loss and KL
divergence
3
MR MUZAFFARAI and deep Learning Expert, Datoin, Bangalore
India.
Supervised vs un supervised learning.Different types of problems
and their solution using Supervised and un supervised
learningPractical example with implementationHouse rent prediction
example with implementation using mathematical concepts learned so
far in python.Introduction to clustering k-means
algorithmsImplementing some of the above algorithms using Python
and sk-learnExercise: Use some of the above algorithms to solve
some practical use case
5DR MUDASIR MOHDSr. Assistant Professor, South Campus University
of Kashmir
Introduction to Python:Setting up environment: Python 3.7+ and
install required libraries, IDELanguage constructs and debugging
issuesVariables, control structures etc..Introduction/recap to
python continue .. Arrays, mathematical operations. Introduction to
numpy, scipy, pandas and sk-learn
5
DR. SHEIKH NASRULLAHAssistant Professor, department of
Information Technology, Central University of Kashmir Postdoctoral
fellow IBM California, USA.
Exploring and visualizing data Types of data categorical &
numerical.Plotting: pie, Bar, Line, scatter, subplots, heatmaps,
multi-variate plots (using python)Introduction to
classifiers:Logistic regression Naive Bayes Decision tree
SVMModeling & Evaluation:Selecting a model: Predictive model,
Descriptive model;Training a model (for Supervised Learning) – Hold
out method, k-fold Cross Validation, Bootstrap Sampling
6
MR. DARSHAN ADIGAAI and deep Learning Expert, Datoin, Bangalore
India
Data quality and data cleaning/ preprocessingData Preprocessing
- Data cleaning, Data Integration, Data Reduction, Data
Transformation, Data Discretization, Dimensionality Reduction and
Feature Subset Selection.
Model Representation & Interpretability: Under fitting,
Overfitting, Evaluating performance of Model, Improving performance
of Model.
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DR. DAWOOD ASHRAF KHANResearch Head Applied R&D and AI Noon,
Dubai, United Arab Emeritus.
Forecasting:Forecast KPIs, Single Exponential, Double
Exponential models (brief introduction of traditional approaches),
Decision tree Regressor, Random Forest Regressors, grid search,
random search, & uniform search for model selection
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DR. MUHEET AHMAD BUTTScientist D and Consultant Higher Education
J&K PG Department of Computer Science, University of
Kashmir
Emerging ICT Technologies in Modern Agriculture
Des
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d by
: She
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Parv
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