I can see a lot of tutorials and examples about using TensorFlow and other free, open-source AI/ML/DL frameworks on enterprise level where enough data was collected for such AI solutions.How can one can collect enough data in normal everyday life to practically and effectively make use of such freely available AI/ML/DL technologies to improve one's life and security?
How can one find / collect data for, and come up with ideas for, using Deep Learning / AI to improve one's everyday life?
deep learning;datasets
Speaking to the collecting data part of the question, I'll say this:Keep in mind that not everything requires massive amounts of data. Consider also that large amounts of data about all sorts of things are available in the OpenData / LinkedData realms. Governments in particular are sources of massive amounts of data.  See, for example, data.gov or Google around and see if your (state|city|county|whatever) has an open data portal. You might be surprised.  Finally consider that inexpensive sensor systems and distributed sensor networks can be constructed fairly easily / inexpensively using things like Arduino / Raspberry Pi and communications protocols and software often associated with the term Internet of Things.  You may find that you can actually collect your own data, especially if you crowd-source the effort and get a bunch of other people involved. See also:http://opendata.reddit.comhttp://datasets.reddit.comhttp://www.wikidata.orghttp://www.dbpedia.orgetc.