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    Vtu Advanced Machine Learning For Faculty

    About Global Academy of Technology (GAT)
    Established in 2001, Global Academy of Technology, one of
    the most sought after Engineering and Management
    institutions in Bengaluru accredited with NAAC A grade
    under the auspices of National Education Foundation has a
    clear vision of providing uncompromising quality Technical
    and Management Education. The geographical location of
    the institute and lush green surrounding provides an apt
    environment for higher learning. GAT offers the most
    modern infrastructure for the students supported by
    passionate and highly experienced and trained faculty.
    An ISO 9001:2000 practicing institute with quality focus in
    both Academics and Administration. Creativity is our buzz
    word and “Growing Ahead of Time” is our motto.

    Institute Vision:
    Become a premier institution imparting quality education in
    engineering and management to meet the changing needs of
    society.

    Institute Mission:
    Ø Create environment conducive for continuous learning

    through quality teaching and learning processes
    supported by modern infrastructure.
    Ø Promote Research and Innovation through
    collaboration with industries.
    Ø Inculcate ethical values and environmental
    consciousness through holistic education programs.

    About Dept. of Information Science & Engg.
    The ever expanding role of IT in Education, Entertainment,
    Business Enterprises, Industry, Science, and Public & Private
    Sectors has influenced personal lives to a great extent.

    This has compelled the need to remain on the cutting edge of
    the technology in order to provide quick and easy access to
    information. [email protected] responds to this by producing
    graduates with much needed technical knowledge & skills
    capable of developing professional products and services.
    Our Teaching methods blend both the traditional modes and
    modern styles covering case studies, group discussions,
    project-based learning, participative workshops & seminars
    leading to clear conceptual understanding. Our education
    and training focuses prominently on providing our students
    career opportunities in the areas of programming,
    networking, Management Information Systems, Human
    Computer Interaction and Information security. Students of
    [email protected] would be able to relate the knowledge and skills
    acquired to the work environment. The friendly and
    supportive environment in the department encourages our
    students and staff to develop innovative ideas for
    implementation, conducting seminars/workshops/ FDP,
    Poster Presentations and various other activities. The
    department is proud of its strong research culture among
    staff and students.

    About Faculty Development Program
    Machine learning is the science of making computers to
    behave without being explicitly programmed. Machine
    learning (ML) is becoming prevalent, and organizations are
    using it in a variety of ways in various fields of life, including
    identifying spam, improving cyber security, bioinformatics,
    medical diagnosis, natural language processing, search
    engines, user behavior analysis, enhancing recommendation
    engines, and optimizing self-driving cars etc. The aim of this
    FDP is to disseminate the knowledge about the most
    effective advanced machine learning techniques, and gain
    practice implementing them and getting them to work. More
    significantly, participants will learn about not only the
    theoretical foundations of learning, but also gain the
    practical knowledge needed to quickly apply these
    techniques to new problems. Finally, participants will gain
    knowledge about some of the best practiced algorithms of
    Machine Learning.
    This FDP provides an expansive knowledge on Advanced ML
    Algorithms which focuses on Introduction to Machine
    Learning, Advanced ML algorithms and its Applications,
    topics such as Regression Techniques, Neural Networks,
    Recommender Systems, Reinforcement Learning and Deep
    Learning Algorithms with Hands on sessions using Python.

    Objective of the Workshop
    v
    v
    v
    v
    v

    To expose the participants to current trends in
    computational intelligence.
    To provide knowledge on Advanced Machine Learning
    Algorithms and hands on sessions using Python.
    To discuss on research issues in current trends in
    computational intelligence.
    To foster collaboration among researchers, industrial
    experts and professionals.
    Provides practical foundation level training that
    enables immediate and effective participation in
    Machine Learning Projects.

    Intended Audience
    Faculty members, Researchers, and Students from Technical
    Institutions, Engineering colleges,
    Professionals from
    industries, and researchers.

    Resource Persons
    q Dr. D. S. Guru

    Professor & Chairman, Dept. of Studies in Computer Science,
    University of Mysore, Mysore.
    q Prof. Anantharaman P. N.

    Independent Researcher on Stealth Mode, Bengaluru.
    q Dr. Raghavendra V Kulkarni

    Professor & Head, Dept. of CSE, MSRUAS
    q Dr. Dinesh R.

    Chief Engineer, R & D, Samsung, Bengaluru.
    q Dr. Manjunath S.

    Chief Engineer, R & D, Samsung, Bengaluru.
    q Dr. Indramma M.

    Professor, BMSCE, Bengaluru.
    q Dr. Umadevi V

    Associate Professor, BMSCE, Bengaluru.
    q Prof. H R Srikanth

    Assistant Professor, PESU, Bengaluru.
    q Dr. Ganga Holi

    Professor, GAT, Bengaluru.

    Important Date:
    Last date for Registration: 15th January 2018

    Venue:
    Global Academy of Technology, Bengaluru – 560098.

    GLOBAL ACADEMY OF TECHNOLOGY
    Bengaluru - 560 098
    DEPARTMENT OF INFORMATION SCIENCE & ENGINEERING

    Faculty Development Program on
    “Advanced Machine Learning
    Algorithms”
    18th - 24th January 2018

    REGISTRATION FORM

    Chief Patron

    FACULTY DEVELOPMENT PROGRAM
    ON

    Sri. D. K. Shivakumar, Chairman, NEF

    Patrons
    Sri. S. Lepaksha, Secretary, NEF
    Sri. Venkatappa, Additional Secretary, NEF
    Sri. D. K. Suresh, Trustee, NEF
    Sri. C. Gangadhar Murthy, Managing Trustee, NEF
    Sri. K. Srinivas, Trustee, NEF
    Smt. Usha Shivakumar, Trustee, NEF
    Ms. Aisshwarya D. K. S., Secretary, NEF (Schools)

    “ADVANCED MACHINE
    LEARNING ALGORITHMS”
    18th - 24th January 2018

    Organizing Chair
    Name: _________________________________________________________

    Dr. N. Ranapratap Reddy, Principal, GAT

    Designation:__________________________________________________

    Convener

    Department:__________________________________________________
    Institute/Organization:______________________________________
    _________________________________________________________________
    Address:______________________________________________________
    _______________________________________________________________

    Dr. Ganga Holi., HOD, Dept. of ISE, GAT

    Program Convener
    Ms. Sharmila Chidaravalli
    Assistant Professor, Dept. of ISE, GAT
    Mobile: +919901133511
    Email ID: [email protected]

    Co-ordinators
    Mrs. Jyoti Neeli
    Associate Professor, Dept. of ISE, GAT

    _________________________________________________________________

    Mr. Dheeraj D.

    Mobile No.: ___________________________________________________

    Mr. Shridhar R.

    Assistant Professor, Dept. of ISE, GAT
    Assistant Professor, Dept. of ISE, GAT

    Email: ________________________________________________________

    Assistant Professor, Dept. of ISE, GAT

    DD No. : _______________________________________________________

    Assistant Professor, Dept. of ISE, GAT

    Amount:_______________________________________________________
    DD to be drawn in favour of “GAT-CSI-IS Student Chapter,
    c/o GAT”, payable at Bengaluru or through online payment
    at following details:
    Bank Name: ANDHRA BANK Branch: Rajarajeshwari Nagar,
    A/C No. : 143510100030965 IFS Code: ANDB0001435

    Signature of Candidate

    Signature of the
    Head of Institution / Organization
    with seal

    In Association with

    Mobile: +919900037077
    Mobile: +919036166950

    Mrs. Lakshmi R.

    Demand Draft Details:

    Date : _________________________________________________________

    Mobile: +919481817372

    Mobile: +919035388508

    Computer Society of India

    Ms. Deepthi V. S

    Visvesvaraya Technological University

    Mobile: +917795190018

    Registration Fee:
    Faculty/Research Scholar: ` 3000/Industry Persons:
    ` 4000/Send completely filled registration form to FDP coordinator,
    Department of Information Science & Engg. Global Academy of
    Technology, Rajarajeshwari Nagar, Bengaluru -560098. Or mail to
    [email protected]

    Department of Information Science & Engineering
    GLOBAL ACADEMY OF TECHNOLOGY
    Ideal Homes Township, Rajarajeshwari Nagar, Bengaluru - 560 098
    Telephone: 080 28603158, Telefax: 080 28603157
    Website: www.gat.ac.in
    Email Id.: [email protected]

    Organized by

    Department of Information Science & Engineering

    GLOBAL ACADEMY OF TECHNOLOGY
    Ideal Homes Township, Rajarajeshwari Nagar,
    Bengaluru-560 098, Karnataka, India
    www.gat.ac.in

    GLOBAL ACADEMY OF TECHNOLOGY
    DEPARTMENT OF INFORMATION SCIENCE AND ENGINEERING

    Faculty Development Program
    On

    “Advanced Machine Learning Algorithms”
    18th Jan-24th Jan 2018

    Schedule

    8.30 AM–10:30 AM
    10.30 AM–11:00 AM
    11.00 AM–11.15 AM
    Time
    11:15 AM– 12:45 PM
    12:45 PM – 1:45 PM
    1:45 PM – 3:00 PM
    3:00 PM – 3:15 PM
    3:15 PM – 4:45 PM

    Time
    9:30 AM – 11:00 AM
    11:00 AM – 11:15 AM
    11:15 AM – 12:45 PM
    12:45 PM – 1:45 PM
    1:45 PM –3:00 PM

    Day 1: Thursday, 18th Jan 2018
    Registration
    Inauguration
    Tea-Break
    Programme/topic
    Speaker
    Dr. D S Guru
    Key Note on ML and Advanced
    Professor & Chairman,
    ML algorithms & Applications
    Dept. of Studies in Computer Science,
    University of Mysore, Mysore.
    Lunch
    Bio-inspired Optimization in
    Dr. Raghavendra V. Kulkarni,
    Machine Learning
    Head, Dept. of CS &E, M. S. Ramaiah
    University of Applied Sciences, Bengaluru.
    Tea-Break
    Introduction to Python – Hands Dr. Ganga Holi and Team
    on
    Head, Dept. of ISE, GAT, Bengaluru.
    Day 2: Friday, 19th Jan 2018
    Programme/topic
    Speaker
    Regression Techniques
    Dr. Ganga Holi
    Head, Dept. of ISE, GAT, Bengaluru.
    Tea-Break
    Lab session on Regression
    Dr. Ganga Holi
    Techniques
    Head, Dept. of ISE, GAT, Bengaluru.
    Lunch
    Prof. H R Srikanth
    Support Vector Machine
    Assistant Professor, PESU, Bengaluru.

    3:00 PM – 3:15 PM
    3:15 PM – 4:45 PM

    Time
    9:30 AM – 11:00 AM
    11:00 AM – 11:15 AM
    11:15 AM – 12:45 PM
    12:45 PM– 1:45 PM
    1:45 PM – 3:00 PM
    3:00 PM – 3:15 PM
    3:15 PM – 4:45 PM

    Lab session on Support Vector
    Machine

    Prof. H R Srikanth
    Assistant Professor, PESU, Bengaluru.

    Day 3: Saturday, 20th Jan 2018
    Programme/topic
    Speaker
    Challenges, Issues and
    Dr. Dinesh R
    Opportunities in Object
    Principal Engineer, R & D Samsung,
    Recognition/ML Systems
    Bengaluru.
    (Industrial Perspective)
    Tea Break
    Neural Networks : Overview
    Dr. Dinesh R
    Principal Engineer, R & D Samsung,
    Bengaluru.
    Lunch
    Neural Networks : Challenges,
    Dr. Dinesh R
    Limitations and Way forward
    Principal Engineer, R & D Samsung,
    Bengaluru.
    Tea-Break
    Hands on session on Neural
    Dr. Dinesh R
    networks (How to build NN
    Principal Engineer, R & D Samsung,
    from scratch, Classification
    Bengaluru.
    problem with 2 case studies,
    Tips and tricks)

    Time

    Day 4: Monday, 22nd Jan 2018
    Programme/topic
    Speaker
    Introduction to Deep Learning

    9:30 AM – 11:00 AM
    11:00 AM –11:15 AM
    11:15 AM –12:45 PM

    Understanding Convolutional
    Neural Networks

    12:45 PM – 1:45 PM
    1:45 PM – 3:00 PM

    DEMO on convolutional neural
    networks

    3:00 PM – 3:15 PM
    3:15 PM – 4:45 PM

    Time
    9:30 AM – 11:00 AM
    11:00 AM – 11:15 AM
    11:15 AM – 12: 45 PM
    12:45 PM – 1:45 PM
    1:45 PM – 3:00 PM
    3:15 PM – 3:30 PM
    3:30 PM – 4:45 PM

    Time
    9:30 AM – 11:00 AM
    11:00 AM – 11:15 AM
    11:15 AM – 12:45 PM
    12:45 PM – 1:45 PM
    1:45 PM – 3:00 PM
    3:15 PM – 3:30 PM
    3:30 PM – 4:00 PM

    Analysis and understanding of
    different convolutional neural
    network architecture

    Dr. Manjunath S
    Chief Engineer,
    Samsung Electro – Mechanics Co., Ltd,
    Bengaluru.
    Tea-Break
    Dr. Manjunath S
    Chief Engineer,
    Samsung Electro – Mechanics Co., Ltd,
    Bengaluru.
    Lunch
    Dr. Manjunath S
    Chief Engineer,
    Samsung Electro – Mechanics Co., Ltd,
    Bengaluru.
    Tea-Break
    Dr. Manjunath S
    Chief Engineer,
    Samsung Electro – Mechanics Co., Ltd,
    Bengaluru.

    Day 5: Tuesday, 23rd Jan 2018
    Programme/topic
    Speaker
    Recommender Systems
    Dr. Indramma M
    Professor, CSE Dept.,
    BMS College of Engineering, Bengaluru.
    Tea Break
    Lab Session on Recommender
    Dr. Indramma M
    Systems
    Professor, CSE Dept.,
    BMS College of Engineering, Bengaluru.
    Lunch
    Deep Learning Using Tensor
    Dr. Umadevi V
    flow
    Associate Professor, CSE Dept.,
    BMS College of Engineering, Bengaluru
    Tea Break
    Deep Learning Using Tensor
    Dr. Umadevi V
    flow
    Associate Professor, CSE Dept.,
    BMS College of Engineering, Bengaluru
    Day 6: Wednesday, 24th Jan 2018
    Programme/topic
    Speaker
    Deep Learning for NLP
    Prof. Anantharaman P. N.
    Independent Researcher on Stealth Mode,
    Bengaluru.
    Tea-Break
    Deep Learning for NLP
    Prof. Anantharaman P. N.
    Independent Researcher on Stealth Mode,
    Bengaluru.
    Lunch
    Reinforcement and Analytical
    Dr. Naveen N C,
    Learning
    Professor,CSE Dept.,
    JSSATE, Bengaluru.
    Tea Break
    Valedictory




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