Applications of Machine Learning and Deep Learning

Abstract

Until now, we have covered all aspects of machine learning and deep learning models and understood their internal architecture in detail. This chapter familiarizes the readers with the state-of-the-art real-life applications of machine learning and deep learning algorithms. The chapter will cover real-world applications from every corner of the recent advancements, starting from daily usage of face recognition to object detection. Not only that, but this chapter also explains the application of machine learning and deep learning in day-to-day life usage. Amid many applications, this chapter will cover the essential applications covering pattern recognition, video processing, medical imaging, and computational linguistics. The chapter presents the Python implementation of all the applications. This chapter also mentions some of the other critical real-world applications used in our daily life.

Keywords: Machine Learning, Deep Learning, Pattern Recognition, Video Processing, Medical Imaging Computational Linguistic, Classification, Tumor Detection, Neuroimaging, Face Recognition, Optical Character Recognition, Sentiment Analysis, Python, Tensor Flow, Keras.