This Quora question has some excellent answers, and one that lists some broad categories of practical machine learning problems. We have reviewed some common examples of real-world machine learning problems and a taxonomy of classes of machine learning problems. We now have some confidence to commen...
tInternational Trade in Services:Some Theoretical and Practical Problems. B.Herman,,B.van Hols. Rotter-dam,Netherlands Economic Institute . 1984B.Herman,,B.van Hols.tInternational Trade in Services:Some Theoretical and Practical Problems. Rotter-dam,Netherlands Economic Institute . 1984...
can be successfully applied to complex real-world problems. A number of important practical issues are identified and discussed from a general theoretical perspective. These practical issues are then examined in the context of a case study in which TD(λ) is applied to learning the game of backg...
As we conclude our exploration of essential machine learning interview questions, it's evident that succeeding in such interviews requires a blend of theoretical knowledge, practical skills, and an awareness of the latest trends and technologies in the field. From understanding the basic concepts like...
Most machine learning interview questions assess, a) your past experience working with machine learning, and b) your capacity to memorize concepts and apply them towards a solution. Many machine learning questions in interviews are therefore definition-based, theoretical questions. These questions test ...
Lecture sessions are illustrated with case studies, practical questions and examples Practical exercises include Machine Learning, Data Visualization examples and discussions Install and Configure you Big Data, Machine Learning platform using industry famous tools Python Virtual Environments Download Machine Lear...
Practical issues:generalization, sample/time/space efficiency, exploration vs. exploitation, reward specification and shaping, scalability, model-based learning (model validation and model error estimation),prior knowledge, safety, accountability,interpretability, reproducibility, hyper-parameter tuning; ...
A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source - habedi/PracticalMachineLearning
Random forests: On their own, decision trees come with limitations due to their inherent rigid workflows and requirement that all evaluation questions be answered. In our decision tree example above, the college might require that both conditions be true, even though meeting just one might be suff...
Practical Machine Learning For The Uninitiated Last fall when Itook on ShippingEasy’s machine learning problem, I had no practical experience in the field. Getting such a task put on my plate was somewhat terrifying, and even more so as we started to wade into the waters of machine learning...