Machine Learning Internship 2026 at Manuscriptpedia, Online ML Internship, Supervised and Unsupervised ML Training, Research Internship for Faculty and Scholars
Internship Opportunity Overview
Manuscriptpedia has announced an online internship programme titled “Supervised and Unsupervised ML using Real Datasets” for research scholars and faculty members. This one-month internship focuses on practical exposure to machine learning concepts, predictive modeling, deep learning, clustering, dimensional reduction, and real-world data analysis applications. Participants will gain hands-on implementation experience using industry-oriented tools and methodologies.
Post Date: 12th May 2026
Organizer Name: Manuscriptpedia
Organizer Profile:
Manuscriptpedia is a leading research training and consultancy organization that mentors researchers and educators across various domains. The institution is ISO 9001:2015 certified and focuses on delivering quality-driven academic training, research guidance, and impactful educational solutions.
Internship Title
- Supervised and Unsupervised ML using Real Datasets Internship Programme
Internship Duration
- Start Date: 01 June 2026
- End Date: 01 July 2026
Internship Mode: Online
Eligibility:
- Research Scholars
- Faculty Members
Internship Highlights:
The internship programme provides practical training in supervised and unsupervised machine learning using real datasets. Participants will explore predictive modeling techniques, classification, regression analysis, clustering methods, dimensionality reduction, anomaly detection, and deep learning frameworks.
Topics Covered:
- Practical Foundations of Machine Learning
- Model Building and Validation
- Cross Validation and Hyperparameter Tuning
- Optimization and Interpretation
- Foundations of Stacking Models
- Systematic Hyperparameter Tuning and Validation
- Genetic Algorithm Optimization and Residual Analysis
- Fundamentals of Physics-Informed ML
- PIML Validation and Cross-Validation
- PIML Interpretation
- Fundamentals of Deep Learning
- ANN Predictions
- CNN Predictions
- Validation, Regularization and Interpretability for Deep Learning
- Fundamentals of Unsupervised ML
- Clustering and Dimensional Reduction
- Anomaly Detection and Association Rule
- Overall Workflow and Research Integration
Key Responsibilities
- Participate actively in online ML training sessions
- Work on real-world machine learning datasets
- Perform predictive modeling and validation exercises
- Apply clustering and dimensionality reduction techniques
- Understand deep learning workflows and interpretability concepts
- Engage in research-oriented ML integration activities
Required Skills
- Basic understanding of machine learning concepts
- Interest in AI, ML, and data analytics
- Familiarity with programming or data handling tools is beneficial
- Analytical and problem-solving abilities
- Research-oriented learning mindset
Speaker
Dr. Krishnamoorthy Ramalingam, Research Faculty, Universiti Sains Malaysia (USM)
Registration Fee
- Rs. 1770/-
Apply Mode
- Online Registration
How to Apply
Eligible and interested candidates can register for the internship programme through the official registration link provided by the organizers. Applicants are advised to complete the registration process early to secure participation. Participants should ensure that all required details are entered correctly while submitting the application form. Early registration is encouraged due to limited participation availability.
Registration Link: Apply Here
Event Brochure: View Brochure
Organization Full Address
Manuscriptpedia
110/K-2, Vethanagar Junction,
Nagercoil, Kanniyakumari,
Tamil Nadu – 629002.
Contact Details
- Email: [email protected]
- Email: [email protected]
- Mobile: +91 9150929629
Conclusion
This internship programme by Manuscriptpedia offers a valuable opportunity for faculty members and research scholars to strengthen their practical knowledge in machine learning and deep learning using real-world datasets. With expert guidance, industry-oriented topics, and hands-on exposure, participants can enhance their research and analytical capabilities in modern AI applications.
FAQs
1. Who is eligible to participate in this internship?
Research scholars and faculty members are eligible to participate in the programme.
2. What is the mode of the internship?
The internship will be conducted completely in online mode.
3. What is the registration fee for the programme?
The registration fee is Rs. 1770/-.
4. What are the major topics covered in the internship?
The internship covers supervised ML, unsupervised ML, deep learning, clustering, ANN, CNN, anomaly detection, and model validation techniques.
5. Who is the speaker for the internship programme?
Dr. Krishnamoorthy Ramalingam, Research Faculty at Universiti Sains Malaysia (USM), will handle the sessions.
Event Disclaimer:
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