guidebook_event: 28625691
id | guide_id | import_id | name | description | image | startTime | endTime | allowRating | addToSchedule | deleted | last_updated | locations | tracks | rank | links | allday | max_capacity | registered_attendees | waitlist | require_login | registration_start_date | cog_details | session_discussion_posting_disabled |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
28625691 | 191394 | Practical machine learning for everyone - pre-registered attendees only | <p>Whether you're interested in classifying images, sorting documents, summarizing text, transcribing audio, or a million other topics, machine learning is here to help!<br><br>Learn to set up practical machine learning pipelines in minutes: we'll train custom models, build easy-to-use web apps, host private APIs and more through the adorably-named Hugging Face. Whatever your level of technical comfort, we'll set you up with a system that works perfectly just for you.<br><br>Beyond showing off all our fun new tricks, we'll also look at the tradeoffs between ease-of-use versus diving deep into the innards of the machine. What nuance do we miss when we shovel the details off to a convenient tool?<br><br>You'll leave this session with a dozen new tools in your toolbox – at all levels of the tech tree – along with the confidence (or necessary suspicion) in wielding these tools in the newsroom.<br><br><a href="https://www.ire.org/product/nicar23-python-ml/" target="_blank">Preregistration is required and seating is limited</a>. You must bring your own laptop (no tablets) to this training.</p> | 2023-03-04 14:15:00 | 2023-03-04 17:45:00 | 0 | 1 | 4296415 | 579485 | 165 | [ { "categoryTitle": "Speakers", "links": [ { "title": "Jonathan Soma", "label": "Columbia University", "image": "", "gb_url": "gb://guide/191394/poi/?id=15476284", "target_object_id": 15476284, "target_content_type": "custom_list.customlistitem" } ] }, { "categoryTitle": "Forms", "links": [ { "title": "NICAR23 Session Evaluation", "label": "Please complete this session evaluation", "image": "", "gb_url": "gb://guide/191394/survey/?id=20962&object_id=28625691&content_type=schedule.session", "target_content_type": "survey.survey" } ] } ] |
0 | -1 | -1 | 0 | 0 | [] |
0 |