Distance metrics in Machine Learning
Resources:
PennyLane-Qiskit
https://docs.pennylane.ai/projects/qiskit/en/latest https://github.com/PennyLaneAI/pennylane-qiskit Installation: Best resources:
BERT Classifier on Genomic Dataset
https://github.com/ML-Bioinfo-CEITEC/genomic_benchmarks/blob/main/notebooks/How_To_Train_BERT_Classifier_With_HF.ipynb
Genomic Benchmarks Dataset
https://github.com/ML-Bioinfo-CEITEC/genomic_benchmarks Accessing: 3. HuggingFace Hubhttps://github.com/ML-Bioinfo-CEITEC/genomic_benchmarks/blob/main/notebooks/How_To_Use_Datasets_From_HF.ipynb Training Benchmark genomic datasets resources:
Intro to Weights and Biases
https://colab.research.google.com/github/wandb/examples/blob/master/colabs/intro/Intro_to_Weights_%26_Biases.ipynb
Training, Validation and Test Sets
Training Dataset: Evaluation Dataset: Test Dataset:
Nobel Prize in Physics for Geoffrey Hinton
https://www.utoronto.ca/news/geoffrey-hinton-wins-nobel-prize
Convolutional Neural Networks
References: What are CNNs? Different steps:
Transformer Neural Networks
Summary:
Installing conda in google colab
Conda is not pre-installed in Google Colab, but you can install and use it by following these steps. This will allow you to create and manage Conda environments within Colab. Steps to Use Conda in Google Colab: Notes: