Gate Data Science and Ai (Gate Da)

Data Science and AI/ML Resources Data Science and AI/ML Resources If you're a student preparing for Gate data science or artificial intelligence, these curated resources are designed to help you build a solid foundation in machine learning concepts. Some source provides lecture notes and practice problems, all available for free on YouTube. Resource and notes Playlist Link UC Berkeley - CS 189 YouTube Playlist CS229 - Stanford YouTube Playlist Cornell - CS 4780 YouTube Playlist Caltech - Learning From Data YouTube Playlist StatQuest YouTube Playlist Explore these resources to strengthen your understanding of machine learning concepts and solve practice problems. Whether you are a beginner or looking to deepen your knowledge, these courses offer valuable insights. Happy learning!

GATE DA Preparation Resources GATE DA Preparation Resources If you're gearing up for Data Science and Artificial Intelligence in GATE, here are free resources that cover the AI syllabus: CS 188 - Artificial Intelligence - UC Berkeley Description: CS 188 covers almost 95% of the GATE DA syllabus, including search algorithms, adversarial search, bayes networks, conditional independence, and sampling methods. Playlist Link: CS 188 Playlist Practice Problems: Access a plethora of practice problems and exam questions to strengthen your understanding. Problem Link: CS 188 Practice Problems Notes: Find comprehensive notes to complement your learning. Notes Link: CS 188 Notes Stanford Artificial Intelligence Description...

MindSpan: GATE DA Machine Learning Practice Problem MindSpan: GATE DSAI Machine Learning practice problem and Solutions Embark on a journey through numerical problem-solving in machine learning with MindSpan. These solutions cover a range of topics crucial for GATE Data Science and Artificial Intelligence preparation. MindSpan has meticulously solved numerical questions in: Linear Regression Classifications Bias and Variance Trade-Off Overfitting and underfitting Support Vector Machines Decision Trees K-Means K-Nearest Neighbors (KNN) Naive Bayes Clustering .and many more ..... For your convenience, all these numerical solutions are compiled into a dedicated playlist on YouTube. You can find the complete playlist here . Whether you're gearing up for the GATE or diving into the intricacies of data science and artificial intelligence, these solutions are designed to enhance your understanding and p...

MindSpan: GATE DA 2024 Sample Paper Solutions MindSpan: GATE DSAI 2024 Sample Paper Solutions Question No. 38 - Linear Algebra MindSpan solves Question 38 in Linear Algebra. Watch the solution video here . Question No. 39 - Linear Algebra MindSpan tackles Question 39 in Linear Algebra. Check out the solution video here . Question No. 9 - Probability MindSpan provides a solution for Question 9 in Probability. View the solution video here . Question No. 37 - Linear Algebra MindSpan's detailed solution for Question 37 in Linear Algebra. Watch the video here . Complete Solution for GATE 2024 DSAI Sample Paper MindSpan presents a comprehensive solution for the selected questions: 17, 18, 25, 37, 38, 39, 48. Explore the solution video here . Individual Question Solutions Question 4, 7 - Watch the video here . Question 36 - Watch the video here . Question...

GATE Data Science and AI Preparation Course Welcome to the GATE Data Science and AI Preparation Course by MindSpan! Embark on a transformative journey through essential concepts in linear algebra, laying a strong foundation for success in GATE. This course covers: Topic Subtopics Lecture URL Introduction to Vectors Course overview Lecture 0 Vector and Linear Combinations Lecture 1 Problems and Homework Lecture 2 Homework Solution Lecture 3 Dot Product, Length, Unit Vector Lecture 4 Dot Product, Length, Unit Vector(Problems and Homework) Lecture 5 Matrices Part 1 Lecture 6 Matrices Part 2 Lecture 7 Matrices(Problem Solving and Homework) Lecture 8 Solvi...