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How do I get machine learning experience? 

Process (engineering)
Support vector machine
Computer science
Artificial neural network
User experience design

Answers from top 11 papers

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Papers (11)Insight
Open access•Journal Article•DOI
Applications of Machine Learning in Genomics and Systems Biology
Chunmei Liu, Dongsheng Che, Xumin Liu, Yinglei Song 
07 Feb 2013-Computational and Mathematical Methods in Medicine
16 Citations
If we can design machine learning algorithms to learn from past experience and thus improve the performance automatically, we can solve complicated problems such as those in genomics and systems biology.
Open access•DOI
Integrating Machine Learning into the UX Design Process
Tauhid Ahmed
01 Dec 2018
Machine learning opens the door for user interface and user experience design opportunities that could further meet users’ needs.
Proceedings Article•DOI
Improving Learning Experience of Students by Early Prediction of Student Performance using Machine Learning
Hina Gull, Madeeha Saqib, Sardar Zafar Iqbal, Saqib Saeed 
06 Nov 2020
27 Citations
Machine learning application can help academics to predict the expected weaknesses in learning processes and as a result they can proactively engage such students in better learning experience.
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 
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.
Open access•Journal Article•DOI
Exploring machine learning: A bibliometric general approach using Citespace
Juan Rincon-Patino, Gustavo Ramirez-Gonzalez, Juan Carlos Corrales 
07 Aug 2018-F1000Research
11 Citations
Machine learning is being widely studied, and several institutions in countries like the USA and China constantly generate machine learning based solutions.
Proceedings Article•DOI
Machine learning based QoE prediction in SDN networks
Tasnim Abar, Asma Ben Letaifa, Sadok El Asmi 
01 Jun 2017
47 Citations
That's why we proposed novel method based on machine learning algorithms to obtain the quality of experience in an objective manner.
Open access•Journal Article•DOI
A machine learning-based method for the large-scale evaluation of the qualities of the urban environment
Lun Liu, Elisabete A. Silva, Chunyang Wu, Hui Wang 
01 Sep 2017-Computers, Environment and Urban Systems
174 Citations
We show that the machine learning models can produce a medium-to-good estimation of people's real experience, and the modelling results can be applied in many ways by researchers, planners and local residents.
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 
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.
Journal Article•DOI
Bring Your Own Learner: A Cloud-Based, Data-Parallel Commons for Machine Learning
Ignacio Arnaldo, Kalyan Veeramachaneni, Andy Song, Una-May O'Reilly 
15 Jan 2015-IEEE Computational Intelligence Magazine
19 Citations
We contend that the Bring Your Own Learner model signals a design shift in cloud-based machine learning infrastructure because it is capable of executing anyone's supervised machine learning algorithm.
Open access•Journal Article•DOI
Experience with a learning personal assistant
Tom M. Mitchell, Rich Caruana, Dayne Freitag, John McDermott, David Zabowski 
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.
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 
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.

Related Questions

How are the steps for using machine learning?4 answersThe steps for using machine learning include data acquisition, feature engineering, model selection, model estimation, model evaluation, and model explanation. First, raw data is collected and pre-processed. Then, a data set is created using the pre-processed data. The reliability of a machine learning model trained using test data and a selected machine learning algorithm is evaluated. In another method, groups of data are extracted and sent into corresponding model generators. Model codes are generated and used to create utility models. These utility models are trained along with an optimal utility model, and error values are generated. User request data is acquired, and an instruction is generated based on this data. Feedback data for the execution result of the instruction is acquired, and the task processing model is trained using the user request data, instruction, and feedback data. Finally, a candidate policy is generated by a learner, a program is executed in a simulated application, interim results are collected, and a new candidate policy is generated based on the end result.
Can machine learning provide ability to automatically learn and improve from experience without being explicitly programmed o Yes o no?11 answers
How do I get experience in user research?8 answers
How do you develop learning experience?8 answers
How do you get experience in machine learning?6 answers
How do you get the hands on experience in machine learning?7 answers

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