L Shiloh-Perl, R Giryes - Machine Learning for Data Science Handbook …, 2023 - Springer
Introduction to Deep Learning | SpringerLink Skip to main content Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research Search Cart Book cover …
Deep learning, as one of the most currently remarkable machine learning techniques, has achieved great success in many applications such as image analysis, speech recognition …
The amount of data collected across a wide variety of fields today far exceeds our ability to reduce and analyze without automated analysis techniques. There is much information …
R Abada, AM Abubakar… - … Journal of Big …, 2022 - journals.mesopotamian.press
Big data refers to the large volumes of structured and unstructured data that are generated by businesses, organizations, and individuals on a daily basis. Deep learning is a type of …
DK Sharma, B Tokas, L Adlakha - Trends in Deep Learning Methodologies, 2021 - Elsevier
The growth of the digital age has led to a colossal leap in data generated by the average user. This growing data has several applications: businesses can use it to give a more …
Context: Data are being generated from numerous sources and applications and are thereby becoming increasingly complex. The increase in the use of technologies-such as …
Deep learning is a class of machine learning which performs much better on unstructured data. Deep learning techniques are outperforming current machine learning techniques. It …