About the workshop
This workshop on the topic "Machine Learning and Deep Learning For Biologist" is designed to provide biologists with a comprehensive understanding of machine learning (ML) and deep learning (DL) techniques and their applications in biological research.
Participants will gain theoretical insights and practical skills to analyze complex biological data using cutting-edge computational tools and frameworks.
Objectives:
To introduce the fundamental concepts of machine learning and deep learning.
To explore their applications in solving biological problems like gene expression analysis, protein structure prediction, and image-based cell classification.
To enable participants to work with Python-based libraries such as TensorFlow, Keras, scikit-learn, and Pandas.
To provide hands-on experience in implementing ML/DL models on real biological datasets.
About the workshop
This intensive workshop on "Skill Enhancement In Clinical Research" aims to provide a comprehensive understanding of clinical research processes, regulatory guidelines, and essential skills for a successful career in clinical trials and related domains.
It is ideal for students, professionals, and researchers seeking to enhance their knowledge and stay updated on industry trends.
Key Highlights
Introduction to Clinical Research: Basics of clinical trials, phases, and protocols.
Regulatory and Ethical Guidelines: Overview of ICH-GCP, FDA, and other global standards.
Clinical Data Management: Tools and techniques for data collection and analysis.
Skills Development: Emphasis on project management, report writing, and communication.
Career Guidance: Insights into career opportunities in clinical research.
Skill Development Program
Perfect for students and professionals looking to build a solid foundation in coding and machine learning!
Coding to ML Foundations
The "Coding to ML Foundations" course is a comprehensive skill development program designed to introduce you to Python, R, and Machine Learning.
Specifically tailored for beginners and biologists, this course provides hands-on sessions with real-world data applications, making coding and machine learning easy and approachable.
You’ll learn essential libraries like Numpy, Pandas, Matplotlib, and scikit-learn, and apply them to biological datasets.
With expert mentorship from leading academics, practical projects, and flexible scheduling, this course offers the tools you need to confidently advance your coding and machine learning skills.
About the course
i just think this workshop should be longer we want to learn more of these
Amazing experience, I now can represent the results of my data graphically.
I really loved the session because of the speakers interaction levels, These 2 days of workshop have really provided me with immense knowledge and engaged me well enough to practice it.
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Prachi
Python for Biologists Participant
Shaunak Rudheer Bapat
Omics to theraputics paricipant
Manthena Jaya Simha varma
Drug Design Workshop Participant
