id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
08-altman-building	Altman	Building a Machine Learning Pipeline	2021	11	.pdf	application/pdf	6148	361	63	As you begin ingesting and preparing data, you'll want to explore possible machine learning algorithms to perform on your dataset. Start by determining what general type of learning algorithm you need, and proceed from there to research and select one that While the final output of a machine learning workflow is some sort of intelligent model, The pipeline for a machine learning project generally comprises five stages: data acquisition, data preparation, model training and testing, evaluation and analysis, and application of results. good idea to save a copy in the rawest possible form and treat that copy as immutable, at least during the initial phase of testing different algorithms or configurations. algorithm uses the training data to "learn" a set of rules that it can subsequently apply to new, Immutable data storage can benefit the batch-processing ML pipeline, especially during the initial research and development phase.	./cache/08-altman-building.pdf	./txt/08-altman-building.txt