GATE (Data Science and Artificial Intelligence)
19 modules
Lifetime access
Prepare for the GATE exam in Data Science and Artificial Intelligence
Overview
Description:
This course is designed specifically to help students prepare for the GATE (Graduate Aptitude Test in Engineering) exam in the field of Data Science and Artificial Intelligence. It covers all the essential topics and concepts required to excel in the exam. Whether you are a beginner or have some prior knowledge in these subjects, this course will provide you with a comprehensive understanding and the necessary skills to crack the GATE exam.
Key Highlights:
- Comprehensive coverage of GATE syllabus for Data Science and Artificial Intelligence
- Expertly crafted study materials and video lectures
- Practice quizzes and mock tests to assess your progress
- Tips and strategies to tackle the GATE exam effectively
What you will learn:
- Learn the essential concepts of Data Science
Understand the foundations of Data Science and its applications in various domains. Gain expertise in data preprocessing, feature extraction, and predictive modeling. - Master the fundamentals of Artificial Intelligence
Get hands-on experience in machine learning algorithms, natural language processing, computer vision, and intelligent systems. Acquire knowledge of AI techniques for problem-solving. - Practice with previous GATE question papers
Solve a wide range of GATE exam questions from previous years to familiarize yourself with the exam pattern and enhance your problem-solving abilities. - Guidance from experienced faculty
Learn from industry experts and experienced faculty who will guide you throughout the course, providing valuable insights and tips to excel in the GATE exam.
Modules
Syllabys
2 attachments
GATE2024DataScienceAIsyllabus
1 page
Sample Paper
28 pages
Probability and Statistics
7 attachments • 1 mins
Topics
Counting(Permutation and Combinations)
26 pages
Answers
21 pages
Probability Basics - Sample Space, Events, Independent Events, Mutually Exclusive Events
25 pages
Statistics (Basics)
32 pages
Binomial Theorem
9 pages
Conditional Probability and Bayes Theorem
33 pages
Linear Algebra
1 attachment • 1 mins
Topics
Calculus and Optimization
4 attachments
Functions Basics
19 pages
Limits and Derivatives Basics
40 pages
Answers
122 pages
Continuity and Differentiability, Maxima and Minima
43 pages
Programming, Data Structures and Algorithms
4 attachments • 1 mins
Book
331 pages
Topics
Programming, Data Structures and Algorithms NPTEL Videos
Algorithms and Programming NPTEL
Database Management and Warehousing
2 attachments • 1 mins
Topics
Book
738 pages
Machine Learning
1 attachment • 1 mins
Topics
AI
2 attachments • 1 mins
AI NPTEL Videos
Topics
Introduction to Data Science
4 attachments
Overview of Data Science
Coming Soon
Applications of Data Science
Coming Soon
Data Science Process
Coming Soon
Tools and Technologies in Data Science
Coming Soon
Data Acquisition and Preprocessing
4 attachments
Data Sources and Types
Coming Soon
Data Collection Techniques
Coming Soon
Data Cleaning and Transformation
Coming Soon
Data Integration and Aggregation
Coming Soon
Exploratory Data Analysis and Visualization
4 attachments
Descriptive Statistics
Coming Soon
Data Visualization Techniques
Coming Soon
Data Exploration Methods
Coming Soon
Feature Extraction and Selection
Coming Soon
Statistical Analysis and Inference
4 attachments
Probability Theory
Coming Soon
Hypothesis Testing
Coming Soon
Statistical Inference
Coming Soon
Regression Analysis
Coming Soon
Machine Learning
4 attachments
Supervised Learning
Coming Soon
Unsupervised Learning
Coming Soon
Semi-Supervised Learning
Coming Soon
Reinforcement Learning
Coming Soon
Artificial Intelligence
4 attachments
Introduction to Artificial Intelligence
Coming Soon
Search Algorithms
Coming Soon
Knowledge Representation and Reasoning
Coming Soon
Natural Language Processing
Coming Soon
Big Data Analytics
4 attachments
Introduction to Big Data
Coming Soon
Big Data Processing Frameworks
Coming Soon
Distributed Computing
Coming Soon
Data Mining Techniques
Coming Soon
Deep Learning and Neural Networks
4 attachments
Neural Network Architecture
Coming Soon
Convolutional Neural Networks
Coming Soon
Recurrent Neural Networks
Coming Soon
Generative Adversarial Networks
Coming Soon
Model Evaluation and Performance Metrics
4 attachments
Model Evaluation Strategies
Coming Soon
Performance Metrics for Classification
Coming Soon
Performance Metrics for Regression
Coming Soon
Bias-Variance Tradeoff
Coming Soon
Data Science Ethics and Privacy
4 attachments
Ethical Considerations in Data Science
Coming Soon
Privacy and Security
Coming Soon
Data Governance and Compliance
Coming Soon
Data Science in a Social Context
Coming Soon
Text Books
6 attachments
Introduction to Probability by Dimitri P. Bertsekas & John N. Tsitsiklis
Introduction to Linear Algebra by Gilbert Strang
303 pages
Learning Python by Mark Lutz
1213 pages
Database Management Systems by Raghu Ramakrishnan and Johannes Gehrke
931 pages
Machine Learning for Beginners Chris Sebastian
Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
1151 pages
FAQs
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Enrolling in a course is simple! Just browse through our website, select the course you're interested in, and click on the "Enrol Now" button. Follow the prompts to complete the enrolment process, and you'll gain immediate access to the course materials.
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Yes, our platform is designed to be accessible on various devices, including computers, laptops, tablets, and smartphones. You can access the course materials anytime, anywhere, as long as you have an internet connection.
How can I access the course materials?
Once you enrol in a course, you will gain access to a dedicated online learning platform. All course materials, including video lessons, lecture notes, and supplementary resources, can be accessed conveniently through the platform at any time.
Can I interact with the instructor during the course?
Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.
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