30 Jan Shop by Voice Team on Training course: AI and Machine Learning
AI and Machine Learning: Best practices to store, deploy, scale, update & monitor distributed DeepLearning frameworks—on ANY infrastructure.
For Shop by Voice Team new approach paves the way for Shop By VOICE improvement.
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI.
During this recent training, we studied the insights related to deep learning training, and gained practice using it and getting them to work for us. More importantly, Shop by Voice Team improved not only the theoretical underpinnings of deep learning problems, but also gained the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, we improved our understanding of the trending in 2018 machine learning methods, such as transfer learning, which allows to resolve client specific problems in cases of limited data sets. The results of applying transfer learning techniques related to machine translation is amazing! It gives up to 10% of quality increase in case of languages from one language family. It’s definitely a game changer for problems with limited data sets! This course provided a broad introduction to machine learning, datamining, and statistical pattern recognition.
- Supervised learning (parametric/non-parametric algorithms,kernels, neural networks).
- Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
- Best practices in machine learning (innovation process in machine learning and AI).
Shop by Voice Team also learnt how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.