Machine learning methods for journal search

Hello, i have read your project details and i can help you with 100% quality and your satisfaction. I have delivered more than 400 project with client satisfaction. Please see my profile . I have more than 5 years of experience in C Programming, Java, Machine Learning, Python, Software Architecture. Please ping me for discussion. Thanks.

........................................................................................................................................................................................................

Hi. My name is Uzair.I did my masters in Electrical Engineering. I have done my thesis in biomedical signal processing and Machine learning. I have more than 3 years of experience in Python/MATLAB specially in Machine learning/Deep Learning, Image processing and Signal processing. I have knowledge and understanding of state of the art machine learning algorithms like SVM, neaural networks as well as basic algos like KNN and clustering. I have also worked with sklearn and keras in PYTHON. I have experience with tensorflow,Keras,Pytorch and a ot of other ML libraries. I have recently organized a bootcamp on AI and machine learning in my university. Due to my vast coding experience , I can handle your project with quality work. Regards

I have been workin with Natural Language Processing since two years. The language I have used is python for each project. Would love tot take this up

I am a Machine Learning And Deep Learning Researcher And Recently won the second place in HackerEarths DeepLearning Contest

Hello !, my experience in works regarding natural language processing broadly address this type of project. Given the brief definition of the problem, my proposal can be defined in the following objectives: * Adapt a database for the prediction of words based on synonyms. * If the main objective is to predict the word "synonym" a multiclass classifier would be appropriate. * From another approach the issue could be addressed using recurrent neural networks LSTM, this in order that the model not only throw "synonyms" if not ideas related to the word sought. * The project can be developed in tensorflow which is one of the most used and most efficient tools for this type of tasks.