I Got Close to Winning an NLP Comp — With No Machine Learning Knowledge
#nlp #kagglecompetition #machinelearning #datascience #trainingmlmodelswithdata #inferenceapi #naturallanguageprocessing #technology
https://hackernoon.com/i-got-close-to-winning-an-nlp-comp-with-no-machine-learning-knowledge
#nlp #kagglecompetition #machinelearning #datascience #trainingmlmodelswithdata #inferenceapi #naturallanguageprocessing #technology
https://hackernoon.com/i-got-close-to-winning-an-nlp-comp-with-no-machine-learning-knowledge
Hackernoon
I Got Close to Winning an NLP Comp — With No Machine Learning Knowledge | HackerNoon
Learn how to leverage software developer tools to beat the best in a Natural Language Processing competition on Kaggle, without using any Machine Learning.
Model Training: How Much Data Do You Require?
#machinelearning #trainingmlwithdata #trainingmlmodelswithdata #trainingdata #balancingtrainingdata #datasets #annotations #datascience
https://hackernoon.com/model-training-how-much-data-do-you-require
#machinelearning #trainingmlwithdata #trainingmlmodelswithdata #trainingdata #balancingtrainingdata #datasets #annotations #datascience
https://hackernoon.com/model-training-how-much-data-do-you-require
Hackernoon
Model Training: How Much Data Do You Require? | HackerNoon
The complexity of your model, machine learning algorithms, nature of data, and validation procedure - all influence how much training data is necessary.