Application of AI for mining

Hello sr. Im geographer specialist in gis and passionate about machine learning. Also I have experience in geology and soil mapping, please contact to me to speak more details. Thanks.

Hello 12 yr of Experience on Algorithm Development into Machine Learning/Artificial Intelligence, Moving object Tracking, Multi Sensor Data Fusion, Prediction Methodologies. Have Experience in software development i.e. Requirement gathering, Design, Coding, Integration, testing and documentation at both system level. Experience in Framework Design. More than just offering Deep Learning and Machine Learning development services, as an AI consultant, I provide clients with the most appropriate technologies, based on their business needs, and the guidance provided by the data analyis of the product in question. Understanding the data and the business is all important, and this is a where a successful project always starts. Choosing the technology first without understanding the data can lead to disappointing results. Choosing the right technology, based on a firm understanding of the domain can lead to substantially increased revenues. I am technology agnostic, and each project is different, but, whether it be Deep Learning, Evolutionary Programming, or some simple well-targetted heuristics and good software engineering, I advise and build the most appropriate solution for each client's domain and goals. Lets chat to discuss, Regards Santosh

Hello, I can help you with your project - Application of AI for mining I have gone through your job posting and become very much interested to work with you. I am an expert in this field. I have already completed several projects like this. For evidence you can see my profile. Please visit : https://www.freelancer.com/u/schoudhary1553 I have excellent command over English. I am a hard worker, productive and worthy of your attention I hope, I would be the right candidate for this post. Awaiting an affirmative response from you. Kinds Regards, Sandeep

*Sydney* based. Are you from Perth, mate? I am not sure AI can help you here. By AI do you mean Machine Learning, and this seems the requirement is much closure to ML than AI. Anyway, I am ready to help you to deliver it. Thanks Jag

I am a data scientist and have experience in machine learning and statistical analysis of data using R and Python. I would like to help you with data modelling and exploration wherein we can use supervised and unsupervised machine learning models to extract more information out of this data. Please share more details about your final requirements. Thanks. Bids are negotiable.

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, deep learning, AI, NLP, hypothesis testing, forecasting, T-test, ANOVA etc. Looking forward to discussion, Best Regards, Suyash

hi, I can apply core deep learning model to your dataset to let you explore the pattern recognition, etc in your dataset thanks

Hi I had a PhD in computer science. My area of expertise is data mining and machine learning. I think I can help you if we can use Weka. Please contact me. Many thanks.

Hello I am a Data Scientist/Machine learning engineer who has research and work experience on these area.I have very good python skills and worked famous libraries of it.I worked on large data sets especially in bank industry which is not clean data and used preprocessing to clean data.I worked projects such as credit scoring, churn prediction, Mc Kinsey customer acquisition and retention and applied various algorithms on them.I checked file and i will do it for sure.I will do it cheaper than anyone and quickly.

I have extensive experience in the domains of:  Neural Network/ Natural Language Processing  Machine learning/Data Mining  Deep Learning and Computer Vision  Image Recognition & Artificial Intelligence  AI text analysis model and Reinforcement Learning.  Omnet++ and Sumo simulation,  Python/ Matlab  Asterisks PBX  NS3 simulation  Linux While working in the domains mentioned above, I have worked used frameworks like TensorFlow, Scikit-learn, PyTorch, STP and UDP, Caffe2, OpenCV, Keras, matplotlib, seaborn, fastai, Pycharm, NILM algorithms etc) I am also very familiar with classification and clustering algorithms such as SVM, FHMM, Combinatorial Optimization, HART 85 Algorithm, Maximum Likelihood Estimation, KNN, LDA. We'll make sure that your project is done in a perfect way and do our best until you were satisfied. I am confident I can provide you with top-notch materials that will fit your needs.

hi I am a data scientist working in the machine learning from past 3 years. i have worked upon the recommendation system, churn prediction, Time series forecasting, clustering algorithm etc.

Hi , I observe the data, variable1 is order number , so there are two degree of freedom for input , but three degree of freedom for output . It's contradict to get touch from inputs to outputs.

Dear Client, I can help you in this project very well. I have been among top 12% of the participants in a Kaggle competition on LANL Earthquake Prediction( 550 ) ranking. Relevant Skills and Experience Machine Learning AI Deep Learning R programming Prescriptive Analytics Predictive Analytics Descriptive Analytics

Hi, I am a DL/ML expert, currently working as a deep learning specialist researcher at a mathematics research center. I have rich experience in deep learning, and other machine learning methods. I can quickly create and evaluate the most usual ML models (like Random Forest, Support Vector Machine) to see how well they can be used for the prediction of the output variables. I can also try interpretable statistical models (like nonlinear regression), to see if they can explain the data well enough. I can also build a neural network (deep learning model), which can be useful for more data (it would likely overfit on these data points, but on a larger set of data it could have a smaller error than other ML methods). If you can provide more information regarding what each variables mean, I might have better insights on what model would be suitable; like if inputs 1/2 are time axes, an LSTM/RNN model might be very suitable to explain the data. (I assume that they might mean time, because they are integer and increasing, but I might be wrong here). Also if some values / combinations means errors or anomalies, I can apply rare event classification and anomaly detection models to find and predict anomalies. Any questions, please ping me on chat! I'm sure I could help you a lot with showing how ML could be used with this / similar datasets.