What Common Optimization Tasks needed in Machine Learning Compilers
What Common Optimization Tasks needed in Machine Learning Compilers is a short video to discuss the Common Optimization Tasks needed in Machine Learning Compilers.
March 2023
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How to do Time-Series Cross-Validation in Machine Learning
How to do Time-Series Cross-Validation in Machine Learning is a short video to discuss the possibility and method used for Time-Series model cross-validation. Happy Learning !!
Nested vs Non-nested Cross-Validation in Machine Learning
Nested vs Non-nested Cross-Validation in Machine Learning is a short video to discuss the difference between the Cross-Validation techniques such as Nested vs Non-nested in Machine Learning. Happy Learning !!
Top 10 Skills Needed for a Machine Learning and Data Science Career
Top 10 Skills Needed for a Machine Learning and Data Science Career is a short video to discuss the 10 best skills needed for Machine Learning and Data Science Career. Happy Learning !!
Thonny is a Simple Python IDE for Beginners
Thonny is a Simple Python IDE for Beginners is a short video to discuss the top 10 features of Thonny. Although Thonny is very suitable for beginners, it has several useful features that make it a good IDE for full-fledged Python development. Thonny is included by default in the Raspberry Pi OS Happy Learning !!
Top 10 Types of Cross-Validation in Machine Learning
Top 10 Types of Cross-Validation in Machine Learning is a short video to discuss various types of cross-validation techniques in machine learning and how they are different. The following types of cross-validations are discussed in this video: Leave-one-out cross-validation 2. Leave-p-out cross-validation 3. K-fold cross-validation 4. Stratified k-fold cross-validation 5. Holdout Cross-Validation 6. Repeated Random Sub-sampling Cross-Validation 7. Exhaustive cross-validation 8. Non-exhaustive…
Reduce Computational Complexity of Self Attention Transformers Deep Learning Models
Reduce the Computational Complexity of Self Attention Transformers Deep Learning Models is a short video to discuss what can be done to Reduce the Computational Complexity of Self Attention Transformers Deep Learning Models. It can also be used as a Machine Learning Interview Question. Happy Learning !!
A/B Testing in Statistics and Data Science vs Machine Learning
A/B Testing in Statistics and Data Science vs Machine Learning is a short video to compare the A/B Test and Machine Learning and how they are related to each other. Happy Learning !!
When to use Machine Learning to do an A/B test
When to use Machine Learning to do an A/B test is a short video to discuss the possible scenario where we should do the A/B test using Machine Learning. Happy Learning !!
Why do we need Computational Graphs in TensorFlow?
Why do we need Computational Graphs in TensorFlow is a short video to explain the need for Computational Graphs in TensorFlow in a question-answer format. This can be used as a Machine Learning Interview question. Happy Learning !!