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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
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.
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
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.
7
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
8
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
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