Group discussion (GD) or Group Task (GT) is part of interview stage for selection in various PSU jobs, Campus placements, SSB, NITIE, IIMs etc.
Interviews are the last stage in the selection process for any job in Public Sector PSU like IOCL, ONGC, BPCL, GAIL, CIL, SAIL, NFL, NMDC, NPCIL, HPCL, NTPC, BHEL or in government sector such as ISRO, BARC, DRDO etc.
YourPedia education is the dedicated platform preparing students for Group Discussion (GD) & Group Task (GT), Case studies, extempore in PSU, campus placements, private sector jobs, IIM etc. Regular Group Discussion (GD) & Group Task (GT), Case studiessessions based upon current most important topics and issues are conducted by Yourpedia for those seeking admission or selection in PSU jobs, NITIE, SSB, IIM or campus placement jobs. YourPedia guidance for Group Discussion (GD) & Group Task (GT), Case studies, extempore in PSU provides the best way to prepare for these in shortest possible time.
Topics for Group Discussion (GD) & Group Task (GT), Case studies, Extemporeare either most common or general or based upon recent current most important issues. Detailed learning material to prepare these current issues or topics is provided by YourPedia for preparation of Group Discussion (GD) & Group Task (GT), Case studies, extempore. Preparation for Group Discussion (GD) & Group Task (GT), Case studies, extemporeis also part of interview guidance module of Yourpedia which further is part of Post GATE guidance counselling module. Students getting high GATE score are eligible for NITIE courses such as PGDIE & PGDSM as well as PSU jobs such as IOCL, NTPC, CIL, SAIL, ONGC, BPCL, HPCL, GAIL, Power Grid Corporation, EESL etc.
Services Selection Board (SSB) is an organization that assesses the candidates for becoming officers into the Indian Armed Forces.An SSB comprises the panel of assessors, who are officers in the Indian Armed Forces and having their specialization as Psychologist, GTO (Group Task Officer), and Interviewing Officer. Knowledge of Group Discussion and Group Task is very helpful for selection in SSB.
Group Discussion (GD) & Group Task (GT), Case studies, extemporeare part of overall selection process of PSU jobs, NITIE PGDIE, PGDSM selections as well as many private sector jobs offered through campus placements. Group Discussion (GD) & Group Task (GT), Case studies, extempore are also important part of selection process of SSB for jobs in defence.YourPedia is dedicated platform preparing students for Group Discussion (GD) & Group Task (GT), Case studies, extempore. Daily regular sessions forGroup Discussion (GD) & Group Task (GT), Case studies, extemporeare conducted by the mentors of YourPedia. Students get expert for Group Discussion (GD) & Group Task (GT), Case studies, extempore through regular practice.
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The GATE 2024 DA Paper: A Detailed Overview
The GATE 2024 DA paper has been crafted to cover a wide spectrum of topics, reflecting the interdisciplinary nature of Data Science and Artificial Intelligence. This paper aims to provide a robust foundation for students from both engineering and science backgrounds, focusing on fundamental concepts and their practical applications.
Syllabus Highlights
1. Probability and Statistics:
• Counting (permutations and combinations)
• Probability axioms
• Sample space, events, independent events
• Conditional probability, Bayes Theorem
• Mean, median, mode, standard deviation
• Random variables, discrete and continuous distributions
• Central limit theorem, confidence interval, hypothesis testing
2. Linear Algebra:
• Vector space, subspaces
• Linear dependence and independence of vectors
• Matrices, projections, orthogonal matrices
• Eigen values and eigenvectors, determinant
• LU decomposition, singular value decomposition
3. Calculus and Optimization:
• Functions of a single variable
• Limit, continuity, and differentiable
• Taylor series
• Optimization involving a single variable
4. Programming, Data Structures, and Algorithms:
• Programming in Python
• Basic data structures: stacks, queues, linked lists, trees, hash tables
• Search and sorting algorithms
• Introduction to graph theory and basic graph algorithms
5.Database Management and Warehousing:
• ER-model, relational model
• Relational algebra, tuple calculus, SQL
• Integrity constraints, normal forms
• Data warehousing: schema, concept hierarchies, measures
6. Machine Learning:
• Supervised learning: regression, classification
• Unsupervised learning: clustering, dimensional reduction
• Basics of neural networks, decision trees, support vector machines
• Bias-variance trade-off, cross-validation methods
7. Artificial Intelligence:
• Search algorithms: informed, uninformed, adversarial
• Logic: propositional, predicate
• Reasoning under uncertainty: conditional independence, exact and approximate inference
Inclusive Approach for All Backgrounds
The GATE 2024 DA paper has been carefully structured to cater to students with diverse educational backgrounds. Whether you come from an engineering discipline or a science background, the syllabus covers fundamental concepts and progressively builds on them to ensure a comprehensive understanding of Data Science and Artificial Intelligence.
Official Sample Paper by IIT Professors
To enhance your preparation for the GATE 2024 DA paper, we are pleased to provide an official sample paper released by distinguished IIT professors. This sample paper closely aligns with the GATE exam pattern, offering you a glimpse into the type of questions and the level of difficulty you can expect.
Access the official sample paper here.
Recommended Reading: "Machine learning" – 250 + Solved Questions with detailed Explanation
In addition to the official sample paper, we highly recommend our book titled "Machine Learning." Authored by experienced professors from IIT, this comprehensive guide contains over 250 questions, ensuring thorough coverage of the machine learning concepts crucial for GATE preparation. You can find more information and purchase the book here.
Conclusion
As you embark on your journey to prepare for GATE 2024 in Data Science and Artificial Intelligence, a strategic and thorough approach is paramount. The recently introduced syllabus ensures equal opportunity for students with varied backgrounds. Utilize the resources provided by YourPedia Education, including the official sample paper by IIT professors and our book "Machine Learning" to elevate your preparation. Wishing you the best of luck in your GATE endeavors—success awaits those with dedication and the right resources!
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