String Comparison Service using Machine Learning

Experienced data scientist who has worked on several NLP related problems where text cleaning, spelling corrections using string comparisons ( Norvig's algorithm, Damerau-Levenshtein distance etc.) is an important part. Would like to know more details about the task. Looking forward to hearing back from you.

Hello, I have 10 years experience in natural language processing and machine learning and have worked on many projects in these fields. My previous projects includes Social networks data analysis systems, Recommendation systems, Opinion mining Systems, Bird sounds recognition system, Natural Language interface to a relational database (like SIRI), Question Answering Systems (in limited domain), chatbots ,.. Please send me more details about the project and with sample content to check Thanks

Hello, I have a PhD degree in computational physics and a 25 years experience of the development of numerical algorithms and codes, including an extensive experience in machine learning and data statistical analysis. I can do exactly what you need in Python. Depending on the exact goal of your project, I might use TensorFlow or another Python package, and/or develop a custom code for your purposes. Recently I completed a closely related project on n-gram analysis (inverted index search implementation in Python). Greg

Just had a quick visual over your project's posting. I am more than happy to proceed with you. However, i have some questions which i like to ask. Can you message me over the chat so we can start? I will display my relevant portfolio over the chat. I am looking forward to get all the technical requirements from your end.

Please join me to discuss the project scope features .. Waiting for your message . I shall also provide 1 year support for the bugs if any .

Hello, I see that you are looking for a developer proficient in Machine learning & Artificial Intelligence. I'll be a good fit for this task, as I have hands on experience working in Data Science, Machine Learning and Robotic Process Automation. Your project reminds me of one of my previous Machine Learning project for a client in Travel industry. The client needed to improve the success rate of their telesales team by filtering out the low probability prospects from the system. The end-to-end solution was developed using Python & Django and was integrated into client's existing system. The solution directly took the feed from visitor's database and delivered a filtered list containing only high & medium level prospects to the sales team. The calling success rate improved from just about 4% to 37% using this engine. We can discuss more on the same over a call if it sounds good. Looking forward to hear from you, Best Regards, Tarun