Machine Learning model for language recognition

Experienced machine learning expert who has worked on NLP projects extensively. Would like to know more about what you mean by 'similar phrases' i.e. in terms of meaning or sort of spell checking Looking forward to hearing back from you.

Hello, I have the good knowledge of Machine Learning model for language recognition. I have more than 5 years of experience in CUDA, Machine Learning, Python. I have reviewed your job and can deliver you the job with 100% satisfaction. Please ping me for more discussion.I guarantee you instant communication & responses when you need me. Why choose me? I think every client is the reason for my success. I only take projects which I am sure I can do quickly and at my FIRST BID.

Hello, Greetings of the day.!! Successfully delivered more than 50 AI/ML projects(R and Python) in last 5 Months with best rating and reviews. Your project attracted my attention at first glance, because I've really rich experience in Machine Learning with R (R studio) and Python Programming. I have worked on several similar projects before! I'm really confident about your project, and very eager to join your project. If we get a chance to cooperate, I'll do my best to provide wonderful result. Some of the Projects I have worked upon - 1) Twitter Troll Classification using _Python_ 2) Story point prediction analyzing research pdf papers _ Regression model NLP 3) Face recognition using OpenCV / Python 4) Neural Network for stock price prediction using Python 5) Employee Churn prediction Model using _Python_(2 Projects) 6) R programming real time assignment _R_ 7) Twitter Sentiment Analysis using Python _R_ 8) Youtube video Nostalgic Analysis _Python_Tensorflow 9) Python Online Hackathon _Python_ 10) MSC thesis Project on Heart disease prediction using Sklearn and Keras _Python_ 11) Build a XGBoost model to increase the accuracy of a ML model _Python_ 12) Credit card fraud Detection _Python_ 13) Predict the categories to review using R and Python 14) Electricity Load forecasting using Deep Learning models using _Python(Keras)_Tensorflow You can check my all projects and detailed portfolio on my profile || Link - https://www.freelancer.com/u/invincible1428 Ping me f

Hello! I am a python developer. I looked at your project and it seems interesting. I am expert in tensorflow, object detection, object tracking, face recognization, image classification, and have all necessary skills required for this project. Ping me to discuss in detail.

Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several companies and have done projects involving high level quantitative analysis and data interpretation skills to study the trends, time behaviour and compare the variables in the data. I can do advanced level analysis in SPSS, R, PYTHON, WEKA, TABLEAU and EXCEL tools like machine learning, hypothesis testing, forecasting, T-test, ANOVA etc. Looking forward to discussion, Best Regards, Suyash

hi, I've noticed that you need model to generate "similar" sentences to the one you give it, I think perfect approach for that to deal with it as NLP problem and use deep learning, I've good experience in language models in generating text like (seq2seq, LSTM), and also ranking tasks(compute similarity) using Deep semantic similarity models (DSSM), feel free to discuss any further details.

Hi, no need for KNN. How long are phrases at average? Most popular and elegant solution to this problem is to represent phrases as vectors in embedding space (there are already pretrained models for almost any language) and find most similar vectors (phrases) using cos-similarity (distance between vectors). Have exertise in such, will be glad to help.

Hi, I will develop a Machine Learning model for language recognition as per your requirements. It will be helpful if you provide the complete details and elaborate your requirements. I have strong data skills, analysis skills, strong knowledge of statistics and ability to program algorithms. Also worked on projects mentioned below: Other Projects :- Course Suggesting Chatbot |RASA NLU,SPACY,BOTKIN, NLTK, Pandas This project is being developed as a course suggesting assistant for the training and education wing of CETPA. It asks for certain questions regarding educational background, interests, time etc. and suggest certain choices based on the knowledge acquired in an interactive manner. CHURN PREDICTION ON TELECOM DATASET | SCIKIT-LEARN, FLASK, PANDAS, Numpy Automobile Data Analytics | R, GGPLOT2, Shiny, R-studio The dataset was analyzed using EDA and several potential relationships between automobile characteristics were identified and a predictive model to classify pricing into two categories was created using Regression. Matplotlib Telecom dataset used to predict churning was first wrangled using Pandas and then different sci-kit-learn models were applied on the refined dataset .K-fold cross-validation was used to suggest the best performing model. Confusion matrix with and without normalization was also generated. Web-application using Flask is used to deploy the model in real-time. Regards Yuvraj Kakkar

If you want something that works, just use the amazon voice recognition service. You can provide templates for phrases you're looking for.

Hello, I have worked on many different projects which involve: 1. Artificial Neural Network (ANN) 2. Convolutional Neural Network (CNN) 3. Recurrent Neural Network (RNN) 4. Classification 5. Prediction Skills: 1. Probability a) Probability Distribution b) Sampling Distribution 2. Statistics a) Point Estimation b) Interval Estimation c) Hypothesis Testing i) Z- Score Test ii) t- Test iii) Anova Test iv) chi square Test v) F Test 3. Linear Algebra a) Gauss Jordon Elimination b) SVD(Singular Value Decomposition) c) Positive Definite Matrix d) Eigen Vectors and Eigen Values e) Gram Schmidt Orthogonalization 4. Optimization a) Gradient Descent b) Newton's Method c) Lagrange Method 5. Unsupervised Machine Learning a) k- means clustering b) k-d tree c) LSH(Locality Sensitive Hashing) 6. Supervised Machine Learning a) Naive Bayes Classifier b) Linear Regression c) Logistic Regression d) SVM(Support Vector Machine) e) Neural Network let's have a meeting where we can discuss your work in more details. Regards Atul yadav

In a world of these many ML guys, I choose to position myself in them in three ways: 1. Being a student of Applied Mathematics, I think I have a proper theoretical understanding of the field which gives me an extra advantage if I apply these models in real life. 2. Having done two or three projects related to ML and Statistics, I have whole domain knowledge of how to apply these models and the recent frameworks which are being used. 3. I believe in maintaining long-term relationships with any of them which helps me grow and in reverse, I think I help them grow too.

Hello there, I am an analytics consultant with more than 6 years of experience working with clients across the globe on statistical data analysis projects , machine learning projects and proficient in R and python languages. Please ping for further discussion. Thank you Yash

Budding machine learning researcher

Hi, I am a head of algorithm in an AI + Law start up company in Hong Kong. I have led my team members achieve several AI/Machine learning projects, such as Image Recognition, Neural Machine Translation, Information Retrieval and etc, using techniques both from ML algorithm and Deep learning algorithm like CNN, RNN and Transformer.

Hi There, My name is Sam and i am located in Sydney, Australia. I lead a team of Data Science professionals who are experts in many ML algorithms including Neural Networks, Ensemble techniques, NLP and other classification and continuous algorithms. I have gone through your requirements and if i understand it correctly then you are looking for text matching between two strings. Not sure why you would want to use a Tensorflow or any other deep learning model when a simple fuzzy_wuzzy Python package can do the job for you. Please accept my apologies if there is a gap in my understanding here of the requirement. You can try exploring the fuzzy wuzzy package yourself and if not i can help you with that. I can build a model that provides a score as to how much match is there between two strings and then we can keep updating the database as and when we receive more data. As part of output we will provide you a python code, documentation on build process and how to use the model documentation. Happy to speak to you over chat or phone should you need any specific details about your project . Looking forward to hearing from you.