Videos Archive
Introduction | Mathematics and statistics for data science and machine learning
codebasics
Resources for Learning Data Structures and Algorithms (Data Structures & Algorithms #8)
CS Dojo
Introduction to Big O Notation and Time Complexity (Data Structures & Algorithms #7)
CS Dojo
Data Structures & Algorithms #1 - What are data Structures?
https://youtu.be/bum_19loj9A?si=Rk9jlUFWagbAWHJ9
Basic Concepts of Engineering Mathematics | Lesson - 14 Analytic Geometry | Planes in 3D
Exademy
Basic Concepts of Engineering Mathematics | Lesson - 13 Analytic Geometry | Hyperbola
Exademy
Basic Concepts of Engineering Mathematics | Lesson - 12 Analytic Geometry | Ellipse
Exademy
Basic Concepts of Engineering Mathematics | Lesson - 11 Analytic Geometry | Parabola
Exademy
Basic Concepts of Engineering Mathematics | Lesson - 10 Analytic Geometry | Conic Section
Exademy
Basic Concepts of Engineering Mathematics | Lesson - 9 Analytic Geometry | Circle
Exademy
Basic Concepts of Engineering Mathematics | Lesson - 8 Analytic Geometry | Straight Line
Exademy
Basic Concepts of Engineering Mathematics | Lesson - 7 Analytic Geometry | 2-D Co-ordinate System
Exademy
Basic Concepts of Engineering Mathematics | Lesson - 6 Elementary Algebra | Geometry
Exademy
Basic Concepts of Engineering Mathematics | Lesson - 5 Elementary Algebra | Mean Values
Exademy
Basic Concepts of Engineering Mathematics | Lesson - 4 Elementary Algebra | Sequences
Exademy
Basic Concepts of Engineering Mathematics | Lesson - 3 Elementary Algebra | Binomial Theorem
Exademy
Basic Concepts of Engineering Mathematics | Lesson -2 Elementary Algebra | Logarithms
Exademy
Basic Concepts of Engineering Mathematics | Lesson -1 Elementary Algebra | Power & Robots
Exademy
Triangulation In research : the ultimate credibility enhancer (Definition, types & examples)
Grad Coach
Interviewing 101: Structured, unstructured & semi-structured interviews explained (with examples)
Grad Coach
What are reasearch ethics? The 4 Ethical Considerations Explained Simply (With Examples)
Grad Coach
What is Research Methodology? Full Step-By-Step Tutorial/Webinar with Examples + free templates
Grad Coach
Inferential Statistics Full Tutorial: T-Test, Anova, Chi-Square, Correlation, & Regression Analysis
Grad Coach
Descriptive Statistics: Full Tutorial - Mean, Median, Mode, Variance & SD (With Examples)
Grad Coach
Research Bias 101: Selection Bias, Analysis Bias and Procedural Bias Explained (With examples)
Grad Coach
Sampling Methods 101: Probability & Non-Probability Sampling Explained Simply
Grad Coach
Primary Sources, Secondary Sources & Tertiary Sources: Explained Simply (With Examples)
Grad Coach
Cross-Sectional Study vs Longitudinal Study: Pros, Cons & How to choose (With Examples)
Grad Coach
Research Methodology Example: Step-By-Step Chapter Walkthrough (+ Free Methodology Template)
Grad Coach
Dissertation Methodology Chapter: 6 Costly Mistakes to Avoid (Including Examples)
Grad Coach
How to write a Methodology Chapter for a dissertation or Thesis (4 Steps + Examples)
Grad Coach
Quantitative Data Analysis 101 Tutorial: Descriptive vs Inferential Statistics (With Examples)
Grad Coach
Research Paradigms & Philosophy: Positivism, Interpretivism and Pragmatism Explained (With Examples)
Grad Coach
Saunders' Research Onion Model: Simple Explanation + Examples (Research Methodology 101 Lecture)
Grad Coach
Qualitative vs Quantitative vs Mixed Methods Research: how to choose research methodology
Grad Coach
Handling Uncertainty Definitions and Terminology by Dr M Nagaraju
Institute Of Aeronautical Engineering
Programming Styles and Techniques by Dr M Nagaraju
Institute Of Aeronautical Engineering
Procedural Vs Declarative Knowledge by Dr. M Nagaraju
Institute Of Aeronautical Engineering
Nonlinear Planning using Constraint Posting by Dr. M Nagaraju
Institute Of Aeronautical Engineering
Introduction to Artificial Intelligence by Dr. M Nagaraju
Institute Of Aeronautical Engineering
MSL1O Queuing Model essence, arrival & service rate, 8 formulae, extra worker or machine Mgt Science
DR. KOA..
MS L9 Decision Analysis maximax, maximin min regret, evpi, expected opportunity loss etc.
DR. KOA..
MS L5L6L7 Transportation, Transshipment, Assignment LP Network models Management Science
DR. KOA..
14b Game theory - pure strategy Nash equilibrium, John Nash, Pareto optimality, dominant strategy eq
DR. KOA..
14a Game theory - ststic, normal form, matrix, prisoner's dilemma, dominant, dominated strategy
DR. KOA..
13c Queuing Model adding an employee or a new machine, new waiting time saved, monetary gain, compliance
DR. KOA..
11c Probability - Normal distribution, continuous variables, bell shape, Z table, practical application
DR. KOA..
