Date: Pre Selected Date
Location: NBL Cherlapalli IDA Branch
Facilitator(s): NTHRYS TEAM
8:00 AM - 8:30 AM: Registration and Welcome Coffee
Participants arrive, register, and network over coffee.
8:30 AM - 8:45 AM: Opening Remarks
Welcome by the host.
Brief overview of today's focus.8:45 AM - 10:15 AM: Session 1: Basics of Machine Learning
Overview of machine learning principles and applications.
Hands-on session on basic algorithms and models.
Introduction to the importance of machine learning in various fields.10:15 AM - 10:30 AM: Coffee / Tea / Snacks Break
Networking and refreshments.
10:30 AM - 12:00 PM: Session 2: Data Preparation and Preprocessing
Interactive session on data preparation techniques.
Workshop on cleaning, normalizing, and transforming data.
Practical demonstration of preprocessing steps.12:00 PM - 1:00 PM: Lunch Break
Catered lunch and networking opportunity.
1:00 PM - 2:30 PM: Session 3: Supervised Learning
Exploring supervised learning algorithms.
Hands-on training on regression and classification models.
Case studies on the application of supervised learning.2:30 PM - 2:45 PM: Short Break
Time for a stretch and informal discussions.
2:45 PM - 4:15 PM: Session 4: Unsupervised Learning
Workshop on unsupervised learning techniques.
Practical techniques for clustering and dimensionality reduction.
Case studies on the role of unsupervised learning in data analysis.4:15 PM - 4:30 PM: Coffee / Tea / Snacks Break
Last networking opportunity with snacks.
4:30 PM - 5:30 PM: Closing Session: Implementing Changes and Technology Adoption
Group discussions on implementing new techniques learned today.
Dialogue on overcoming challenges in adopting new technologies in similar sectors.
Feedback session and closing remarks.
Certificate Issue5:30 PM: Workshop Concludes
Date: Pre Selected Date
Location: NBL Cherlapalli IDA Branch
Facilitator(s): NTHRYS TEAM
8:00 AM - 8:30 AM: Registration and Welcome Coffee
Participants arrive, register, and network over coffee.
8:30 AM - 8:45 AM: Opening Remarks
Welcome by the host.
Brief overview of today's focus.8:45 AM - 10:15 AM: Session 1: Deep Learning Fundamentals
Introduction to deep learning techniques.
Hands-on session on neural networks and deep learning models.
Practical demonstration of deep learning applications.10:15 AM - 10:30 AM: Coffee / Tea / Snacks Break
Networking and refreshments.
10:30 AM - 12:00 PM: Session 2: Natural Language Processing (NLP)
Exploring NLP techniques and applications.
Workshop on text processing and sentiment analysis.
Case studies on the applications of NLP in various fields.12:00 PM - 1:00 PM: Lunch Break
Catered lunch and networking opportunity.
1:00 PM - 2:30 PM: Session 3: Computer Vision
Hands-on session on computer vision techniques.
Exploring techniques for image processing and object detection.
Practical applications of computer vision in real-world scenarios.2:30 PM - 2:45 PM: Short Break
Time for a stretch and informal discussions.
2:45 PM - 4:15 PM: Session 4: Reinforcement Learning
Workshop on reinforcement learning algorithms.
Practical techniques for training agents and decision-making.
Case studies on the role of reinforcement learning in automation.4:15 PM - 4:30 PM: Coffee / Tea / Snacks Break
Last networking opportunity with snacks.
4:30 PM - 5:30 PM: Closing Session: Implementing Changes and Technology Adoption
Group discussions on implementing new techniques learned today.
Dialogue on overcoming challenges in adopting new technologies in similar sectors.
Feedback session and closing remarks.
Certificate Issue5:30 PM: Workshop Concludes
Date: Pre Selected Date
Location: NBL Cherlapalli IDA Branch
Facilitator(s): NTHRYS TEAM
8:00 AM - 8:30 AM: Registration and Welcome Coffee
Participants arrive, register, and network over coffee.
8:30 AM - 8:45 AM: Opening Remarks
Welcome by the host.
Brief overview of today's focus.8:45 AM - 10:15 AM: Session 1: Role of Machine Learning in Biomedical Research
Overview of the importance of machine learning in biomedical research.
Hands-on session on studying disease mechanisms using ML.
Case studies on the impact of machine learning in biomedical research.10:15 AM - 10:30 AM: Coffee / Tea / Snacks Break
Networking and refreshments.
10:30 AM - 12:00 PM: Session 2: Machine Learning in Genomics
Exploring the role of machine learning in genomics.
Workshop on using ML techniques to analyze genomic data.
Case studies on the applications of machine learning in genomics.12:00 PM - 1:00 PM: Lunch Break
Catered lunch and networking opportunity.
1:00 PM - 2:30 PM: Session 3: Machine Learning in Drug Discovery
Hands-on session on the use of machine learning in drug discovery.
Exploring techniques for predicting drug efficacy and safety.
Practical applications of machine learning in developing new drugs.2:30 PM - 2:45 PM: Short Break
Time for a stretch and informal discussions.
2:45 PM - 4:15 PM: Session 4: Clinical Applications of Machine Learning
Workshop on translating machine learning research into clinical practice.
Practical techniques for using machine learning in clinical settings.
Case studies on the impact of machine learning on medical treatments.4:15 PM - 4:30 PM: Coffee / Tea / Snacks Break
Last networking opportunity with snacks.
4:30 PM - 5:30 PM: Closing Session: Implementing Changes and Technology Adoption
Group discussions on implementing new techniques learned today.
Dialogue on overcoming challenges in adopting new technologies in similar sectors.
Feedback session and closing remarks.
Certificate Issue5:30 PM: Workshop Concludes
Date: Pre Selected Date
Location: NBL Cherlapalli IDA Branch
Facilitator(s): NTHRYS TEAM
8:00 AM - 8:30 AM: Registration and Welcome Coffee
Participants arrive, register, and network over coffee.
8:30 AM - 8:45 AM: Opening Remarks
Welcome by the host.
Brief overview of today's focus.8:45 AM - 10:15 AM: Session 1: Emerging Technologies in Machine Learning
Introduction to emerging technologies in machine learning.
Hands-on session on using advanced tools and techniques in machine learning research.
Case studies on innovative applications of new technologies in machine learning.10:15 AM - 10:30 AM: Coffee / Tea / Snacks Break
Networking and refreshments.
10:30 AM - 12:00 PM: Session 2: AI and Machine Learning Integration
Exploring the integration of AI and machine learning.
Workshop on developing hybrid models and systems.
Case studies on the applications of AI in enhancing machine learning capabilities.12:00 PM - 1:00 PM: Lunch Break
Catered lunch and networking opportunity.
1:00 PM - 2:30 PM: Session 3: Machine Learning in Internet of Things (IoT)
Hands-on session on integrating machine learning with IoT devices.
Exploring techniques for real-time data analysis and decision making.
Practical applications of machine learning in IoT.2:30 PM - 2:45 PM: Short Break
Time for a stretch and informal discussions.
2:45 PM - 4:15 PM: Session 4: Future Directions in Machine Learning
Discussion on emerging trends and future directions in machine learning.
Workshop on integrating new technologies in machine learning research.
Case studies on the potential impact of future innovations in machine learning.4:15 PM - 4:30 PM: Coffee / Tea / Snacks Break
Last networking opportunity with snacks.
4:30 PM - 5:30 PM: Closing Session: Implementing Changes and Technology Adoption
Group discussions on implementing new techniques learned today.
Dialogue on overcoming challenges in adopting new technologies in similar sectors.
Feedback session and closing remarks.
Certificate Issue5:30 PM: Workshop Concludes
Date: Pre Selected Date
Location: NBL Cherlapalli IDA Branch
Facilitator(s): NTHRYS TEAM
8:00 AM - 8:30 AM: Registration and Welcome Coffee
Participants arrive, register, and network over coffee.
8:30 AM - 8:45 AM: Opening Remarks
Welcome by the host.
Brief overview of today's focus.8:45 AM - 10:15 AM: Session 1: Ethical Considerations in Machine Learning Research
Overview of ethical issues in machine learning research.
Case studies on ethical dilemmas in studying machine learning.
Workshop on addressing ethical considerations in machine learning research.10:15 AM - 10:30 AM: Coffee / Tea / Snacks Break
Networking and refreshments.
10:30 AM - 12:00 PM: Session 2: Regulatory Frameworks for Machine Learning
Exploring regulatory guidelines and requirements for machine learning research.
Case studies on navigating regulatory challenges.
Workshop on understanding international regulatory frameworks.12:00 PM - 1:00 PM: Lunch Break
Catered lunch and networking opportunity.
1:00 PM - 2:30 PM: Session 3: Public Perception and Communication
Workshop on improving public understanding of machine learning research.
Techniques for effective science communication.
Case studies on public engagement and education initiatives.2:30 PM - 2:45 PM: Short Break
Time for a stretch and informal discussions.
2:45 PM - 4:15 PM: Session 4: Policy and Planning for Machine Learning
Discussion on policy and planning for sustainable machine learning research.
Case studies on effective policies and planning strategies.
Workshop on integrating ethical and social considerations in machine learning research.4:15 PM - 4:30 PM: Coffee / Tea / Snacks Break
Last networking opportunity with snacks.
4:30 PM - 5:30 PM: Closing Session: Implementing Changes and Technology Adoption
Group discussions on implementing new techniques learned today.
Dialogue on overcoming challenges in adopting new technologies in similar sectors.
Feedback session and closing remarks.
Certificate Issue5:30 PM: Workshop Concludes