How do you get the hands on experience in machine learning?

Papers (7)	Insight
Proceedings Article•DOI Identifying the Intersections: User Experience + Research Scientist Collaboration in a Generative Machine Learning Interface Claire Kayacik, Sherol Chen, Signe Noerly, Jess S. Holbrook, Adam Roberts, Douglas Eck - Show less +5 more 02 May 2019 30 Citations	User experience (UX) research and design involvement in the creation of machine learning (ML) models help ML research scientists to more effectively identify human needs that ML models will fulfill.
Open access•Journal Article•DOI Experience with a learning personal assistant Tom M. Mitchell, Rich Caruana, Dayne Freitag, John McDermott, David Zabowski - Show less +4 more 01 Jul 1994-Communications of The ACM 469 Citations	Based on this experience, we suggest that machine learning methods may play an important role in future personal software assistants.
Proceedings Article•DOI Novel Applications of Machine Learning in Software Testing L.C. Briand 12 Aug 2008 61 Citations	Reflecting on this personal experience, I draw lessons learned and argue that more research should be performed in that direction as machine learning has the potential to significantly help in addressing some of the long-standing software testing problems.
Open access•Journal Article•DOI Machine Learning Education for Artists, Musicians, and Other Creative Practitioners Rebecca Fiebrink 13 Sep 2019-ACM Transactions on Computing Education 45 Citations	It begins by arguing that it is important to teach machine learning to creative practitioners and to conduct research about this teaching, drawing on related work in creative machine learning, creative computing education, and machine learning education.
Open access•Proceedings Article•DOI Quick Access: Building a Smart Experience for Google Drive Sandeep Tata, Alexandrin Popescul, Marc Najork, Mike Colagrosso, Gibbons Julian, Alan Green, Alexandre T. Mah, Michael John Sebastian Smith, Divanshu Garg, Cayden Meyer, Reuben Kan - Show less +10 more 13 Aug 2017 31 Citations	We believe that the lessons learned from this experience will be useful to practitioners tackling a wide range of applied machine learning problems.
Open access•Journal Article•DOI Human and Machine Learning Ying-Fang Kao, Ragupathy Venkatachalam - Show less +1 more 01 Mar 2021-Computational Economics 20 Citations	We argue that the modern machine learning algorithms, although impressive in terms of their performance, do not necessarily shed enough light on human learning.
Book Chapter•DOI Using Machine Learning to Plan Rehabilitation for Home Care Clients: Beyond “Black-Box” Predictions Mu Zhu, Lu Cheng, Joshua J. Armstrong, Jeffrey W. Poss, John P. Hirdes, Paul Stolee - Show less +5 more 01 Jan 2014 14 Citations	Resistance to adopting machine-learning algorithms in clinical practice may be due to a perception that these are “black-box” techniques and incompatible with decision-making based on evidence and clinical experience.