...individual and giving him alerts messages of how to manage with the situation 5. Collecting the data set and applying predictive modelling to it watching the efficiency of our prediction 6. Also applying the cognitive computing mechanism and show that it yields far better results than just predicting using machine learning and artificial neural networks internally
Stock Prediction Using Reinforcement Learning Input data: Major stock indexes, Bitcoin Algorithms: Deep Learning, TensorFlow, Q-Learning, etc Outcome: High Accuracy, Backtesting
Suppose for a...So I decided to change the number of labels to two, i.e. 1 and -1. That way I got much better result. Now, when I am in the prediction phase, I want first to find what is my threshold level for precision/recall. If the prediction is not within those levels, assume 0. Programmatically, what is the proper way to establish that threshold?
A small deep learning project about time series prediction + data pre-processing program in Keras (Python) with Tensorflow backend and pandas. I want to understand via an example how multi input/output time series prediction works.
Knows the following- 2 wheeler Business market in India, Customer segmentation , Market research and future sales prediction
...available. The goal is that the server has a simple reliable api and makes recommendations about charging stations on the route and shows state of charge alone the route prediction based on car parameters like average energy consumption per 100km, recuperation, additional energy consumption on climbing hills, speed related consumption (cw value of car)
Someone who is good in statistics, ML/DL and know R very well, should only bid, its long term project.
...attachment. Elements title is elements name. [se connecter pour voir l'URL] doctor (system) 2. Manufacturing Effectiveness System (Category) 3. Prediction of synthetic resin (system): Category attributed to 2 4. Coke oven gas liquid level prediction (system): Category belonging to 2 [se connecter pour voir l'URL] plus (system) 6. Equipment supervision (category) 7. Ai...
...learning and data mining Kernel [se connecter pour voir l'URL] Problems[show] Supervised learning (classification • regression) [show] Clustering[show] Dimensionality reduction[show] Structured prediction[show] Anomaly detection[show] Neural nets[show] Reinforcement learning[show] Theory[show] Machine-learning venues[show] Glossary of artificial intelligence[show] Related
Baccarat Prediction System - Using Deep Learning / Pattern Recognition - You must design all GUI and Strategy that can be Real Prediction System - Winning must more than 70% - 80% (can except the low percent game) - Training menu (to record the playing shoes / insert to database) - All shoes may start on anytime (during game, starting game, ending
I have a betting prediction website and my logo needs redesign. To clarify, it can be totally new logo, its not a problem. It will be great if we could come up with a moto by the logo, for example &quot;Betting is our sport&quot;. I enclose the last logo. Site name is bet-prognostika.com.