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. https://youtu.be/_fwhJvPW32g How to do Time-Series Cross-Validation in Machine Learning Happy 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. https://youtu.be/4IzkiCiaQwk Nested vs Non-nested Cross-Validation in Machine Learning Happy Learning !!
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. https://youtu.be/I2995ZNEdjM Top 10 Skills Needed for a Machine Learning and Data Science Career Happy Learning !!
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 https://youtu.be/7foELT_oljI Thonny is … Continue reading Thonny is a Simple Python IDE for Beginners
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 … Continue reading Top 10 Types of Cross-Validation in Machine Learning
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. https://youtu.be/C37mGcCaP8Q Reduce Computational Complexity of Self Attention Transformers Happy 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. https://youtu.be/T3_J2anSJHY A/B Testing in Statistics and Data Science vs Machine Learning Happy Learning !!
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. https://youtu.be/RC1fTvZawho When to use Machine Learning to do an AB test Happy Learning !!
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. https://youtu.be/x7H0bFRaPOk Why do we need Computational Graphs in TensorFlow Happy Learning !!
Why Deep Learning Compilers like TensorFlow XLA TVM is needed is a short video to discuss that to alleviate the burden of optimizing the deep learning models on each deep learning hardware manually, the deep learning engineers use the DL compilers. https://youtu.be/nv_mnEsS5dQ Why Deep Learning Compilers like TensorFlow XLA TVM is required? Happy Learning !!