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Neha Lanke @UCKuIA455ivNkW4lE-nkFOPw@youtube.com

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Achievers CS/IT Tutorials


02:54
CPU Scheduling SJF with Preemption or Shortest remaining time first (SRTF)
03:27
Computer System Operation
05:16
Storage Device Hierarchy
02:37
Components of a computer system
05:21
CPU Scheduling - Shortest Job First - SJF - Non-preemptive Mode Example - Operating System Concepts
04:47
CPU Scheduling - Shortest Job First- SJF- Non Preemptive mode example- Operating System Concepts
08:32
CPU Scheduling - Shortest Job First SJF -Preemptive Mode Example - Operating Systems Concept
06:54
CPU Scheduling - Shortest Job First SJF - Preemptive Mode Example
06:13
CPU Scheduling - FCFS Example- Operating System Concepts
07:17
CPU Scheduling - FCFS Example - Operating System Concepts
05:37
CPU Scheduling- FCFS Example - Operating System Concepts
06:08
CPU Scheduling FCFS Algorithm example
06:16
Introduction to Hypothesis and its Characteristics
03:19
Limitations, Characteristics of Error back Propagation algorithm ( EBPA)
07:39
Difference between AI and ANN | Multilayer perceptron | Types of activation functions
06:03
Hypothesis testing for differences between proportions & Limitations of Hypothesis testing
08:07
Hypothesis testing for differences between means
08:43
Measuring the power of hypothesis test and testing of mean for infinite population
07:55
Hypothesis testing of mean for finite population
05:23
Madaline Algorithm | Madaline Model | Artificial Neural Network
04:24
Small sample test | Research Methodology
05:20
One tailed test | Left tailed Test | Right tailed test | Research Methodology
09:55
Level of significance, Type I & Type II errors and two Tailed Hypothesis
05:06
Adaline Algorithm | Adaline Model | Artificial Neural Network
08:29
Windrow and Hebbs' Learning/ Delta Rule
06:02
Error Back Propagation Algorithm | EBPA
06:51
Characteristics of Artificial Neural Network and Structure of Single Layer Neural Network
07:15
Perceptron Training Algorithm | Linear Seperability
03:43
Null Hypothesis and Alternative Hypothesis
06:16
Introduction to Hypothesis and its characteristics
04:33
Applications of Artificial Neural Network
05:17
Difference between Artificial Neural Network and Biological Neural Network | ANN Vs BNN
05:28
what is ANN? | Functions of ANN | Structure of a Single Artificial Neuron
08:24
Taxonomy of Neural Network
10:06
Structure and functions of Single Biological Neuron
05:38
Types of Reports | Report Writing | Research methodology
14:27
Formats of Report Writing | Research Methodology
03:18
Techniques of Interpretation | Report Writing | Research Methodology
08:33
Pre-report writing considerations and interpretations of report writing
05:40
Probability Sampling | Types of Sampling | Resesrch Methodology
09:28
Non-probability Sampling | Types of sampling | Research Methodology
02:04
Characteristics of a good sample design | Research Methodology
06:38
Criteria for Sampling Procedure | Research Methodology
04:07
Need of research design and features of a good design | Research Methodology | English + Hindi
04:12
Meaning of Research Design | Research Methodology | English + Hindi
03:32
Developing a Research Proposal | Research Methodology
05:28
Defining a Research Problem | Research Methodology
09:16
Problems encountered by researcher while doing research | Research Methodology
04:57
Criteria for a good Research | Research Methodology
04:10
Importance of Research | Research Methodolgy
03:17
What is scientific research ? | Research methodology
03:37
What is Research Methodology ?
04:52
Research Approaches | Research Methodology
05:29
Objectives of Research in Research Methodology
12:52
Steps in Sampling Design | Research Methodology
02:28
Implications of sample Design | Research Methodology
03:10
Research Process | Research Methodology
10:01
Types of Research in Research Methodology
04:17
Motivation of Research in Research Methodology
06:46
Meaning of Research in Research Methodology