Processing

Learn Digital Image Processing (DIP) Techniques and Master your skills from being a beginner to an expert using MATLAB.

Analyze Text using Natural Language Processing ( NLP ) techniques & Text Mining without writing a single line of code.

Real-time or applied digital signal processing courses are offered as follow-ups to conventional or theory-oriented digital signal processing courses in many engineering programs for the purpose of teaching students the technical know-how for putting signal processing algorithms or theory into practical use. These courses normally involve access to a teaching laboratory that is equipped with hardware boards, in particular DSP boards, together with their supporting software. A number of textbooks have been written discussing how to achieve real-time implementation on these hardware boards. This book discusses how to use smartphones as hardware boards for real-time implementation of signal processing algorithms as an alternative to the hardware boards that are used in signal processing laboratory courses. The fact that mobile devices, in particular smartphones, have become powerful processing platforms led to the development of this book enabling students to use their own smartphones to run signal processing algorithms in real-time considering that these days nearly all students possess smartphones.

Text Cleaning, Spacy, NLTK, Scikit-Learn, Deep Learning, word2vec, GloVe, LSTM for Sentiment, Emotion, Spam & CV Parsing

Build Real World Applications of Natural Language Processing [COMPLETE PROJECT]

The so-called 'information explosion' and 'computer revolution' have combined to raise data processing to a new level of importance in every organisation. New technology, not only in computers but also in data communications and office equipment, has simultaneously made the subject much more technical and complex than ever before. No longer is it possible, however, to leave these subjects entirely to specialists because part of the impact of the latest developments has been to make modern means of data processing available to users throughout the organisation. Minicomputers,microcomputers and terminals connected to remote mainframes have all contributed to this process which seems certain not only to continue but also to accelerate