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What are the best practices for integrating online and hybrid learning models in the Indian education system?
Best practise involves : 1.Educational institute must prepare an app which involves all kind of activities in it like classes,attendance,notes etc 2.Due to this online classes can also get prevalant and workable 3.Practical classes or labs must be done offline thus theory classes which are boring caRead more
Best practise involves :
1.Educational institute must prepare an app which involves all kind of activities in it like classes,attendance,notes etc
2.Due to this online classes can also get prevalant and workable
3.Practical classes or labs must be done offline thus theory classes which are boring can be done through online mode
4.Update of classes should be well updated in the app for students convinience
5.Topic declaration must done earlier so that it’s importance can be seen priorly.
See lessbest resources for learning about cybersecurity?
Best resource to get started with cybersecurity is coursera course "Google cybersecurity certificate which is free" It gives proper overview and hands-on implementation regarding malware attacks,security breach etc.One can also try and look for some youtube creators videos for cybersecurity resourceRead more
Best resource to get started with cybersecurity is coursera course “Google cybersecurity certificate which is free” It gives proper overview and hands-on implementation regarding malware attacks,security breach etc.One can also try and look for some youtube creators videos for cybersecurity resource.
See lessWhich is better web development or machine learning
In my context machine learning is better as web development has come to a point of saturation and competition is high,Whereas on the other hand ML has just started and with it's predictive algorithm it is making it more unique and implementable.Over the time web dev has attained it's peak and is nowRead more
In my context machine learning is better as web development has come to a point of saturation and competition is high,Whereas on the other hand ML has just started and with it’s predictive algorithm it is making it more unique and implementable.Over the time web dev has attained it’s peak and is now depleting in terms of employement pay and other benefits whereas machine learning is bit difficult to learn and understand thus making people more valuable.
See lessWhat is Machine Learning ?
Machine Learning (ML) is a subset of artificial intelligence (AI) that involves the development of algorithms and statistical models that enable computers to perform tasks without explicit instructions. Instead, these models learn from and make predictions or decisions based on data. The primary objRead more
Machine Learning (ML) is a subset of artificial intelligence (AI) that involves the development of algorithms and statistical models that enable computers to perform tasks without explicit instructions. Instead, these models learn from and make predictions or decisions based on data. The primary objective of ML is to allow the system to learn from past experiences and improve its performance over time.
Types of Machine Learning:
Process involved in Machine Learning:
- Data Collection: Gathering raw data from various sources relevant to the problem.
- Data Preprocessing: Cleaning and organizing the data to make it suitable for analysis. This step involves handling missing values, normalizing data, and splitting it into training and testing sets.
- Feature Engineering: Selecting and transforming variables (features) that will be used in the model.
- Model Selection: Choosing the appropriate machine learning algorithm based on the problem type and data characteristics.
- Model Training: Feeding the data into the model and adjusting the model parameters to minimize error.
- Model Evaluation: Testing the model on unseen data to assess its performance using evaluation metrics.
- Model Tuning: Fine-tuning the model parameters to improve performance based on evaluation results.
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