Open Source tools are an excellent choice for getting started with Machine learning. This article covers some of the top ML frameworks and tools.
Machine Learning is a scientific discipline which focuses on automatically recognizing complex patterns and making intelligent decisions based on available data. This branch of study develops algorithms for computers to evolve behaviors for the same. If your business needs help with machine learning algorithms, you have come to the right place. You can hire expert freelancers with machine learning experience right here. Simply post your job today!Hire Machine Learning Experts
The project requires to work splitting the stereo audio files using silence detection and generate predictions by speaker/channel on a graph using a trained model. A Python script will be provided as an example. A trained model can also be provided if needed.
I need someone skilled who has worked in machine learning applications before on MRI data To build a brain disorder diagnosis using preprocessed structural magnetic resonance images from the ABIDE suite, manually extracted features and automatically extracted features are combined in the diagnostic process and some demographic information is taken into account. An example of the work :
Phase 1 - see MySQL PYTHON document. Phase 2 --see GenOverview PDF. Combine datasets to produce set of data features and train an “AI Learning Optimizing Ranking Algorithm / Ranking model AND/OR other Mathematic algorithm” based model to obtain estimations of probabilities from historical Data analysis and Anomaly Detection to understand factors in predicting horse racing results using FLASHNET + EPONIES historical data. Generate daily PDF reports and top trends.
Hi, I am looking for a ML Model python library to compare faces for identification over example, let's say in AWS I have a folder 'Face Database' in S3 bucket, the given ML Model python library / function should accept a facial image as input, compare it through all facial images in S3 bucket and reply whether the input image matches with any of the image in S3 bucket, if it matches it should return the image name in S3 bucket else reply saying 'no image matched'. The main objective is the match percentage of the image under different conditions (example wearing glass, growing beard,etc) and the speed of the reply, given there will be hundreds of images in S3 bucket and the comparison of the given image should be really fast. Can you please help in this regard ...
Need someone good expert in Data Structures & Algorithms
We have developed an NLP Web application and we need to make it run on parallel to optimize calculation time. Our algorithm must become from one thread to multicore with Pyspark.
I have a python need to need to fix error related to loss function
Looking for someone who knows how to develop a chatbot using RASA AI framework in python by building cypher queries and connecting to neo4j database.
I need help for Deep Learning model BUDGET $30-250 CAD
I need help for Deep Learning model
An algorithm for trading crypto currencies has been implemented. Your job is to change the variables to improve the output and incorporate how to add other algorithms to the solution. We will provide you with the exact requirements that we are looking for. Points to Note: 1. We are currently using the Q learning, PPO and other main algorithms 2. We have data from about 12 crypto coins, the main ones primarily include Bitcoin and ethereum. 3. The data ranges from 2013 upto 2020. There is no consensus currently on how much training should be used for the bot (trading agent in our case ) to mature. We have run the algo at about 200 epochs and that is sufficient to mature it. 4. The code is purely in Python In summary: the goal is to implement reinforcement learning to make an automatic tr...
Hi there, I have had developed a trading algorithm and I need help further improving it to achieve a few functions that i need. the current software uses OANDA API and current world news to predict the value of the forex trading and decides based on machine learning on which way to go. I need help in improving the accuracy and add a few functions in its GUI as well. please make a bid if you're experienced in this area. The details of the algorithm are very confidential and will only be provided upon signing the NDA. Oh and the code is in Python Thank you
Need brief review on 1. If the data set changes then the ML needs to be remodeled according to new data set everytime. Is this really required? What is the current solutions to this problem in the market? How can we handle this ?
The application erases the background with at least 95% efficiency. The application deletes the background from any image and automatically detects which item not to delete. Example of application. I then need to connect the application to my website, which is written in react and node.js
I need someone who can connect the ML model created for translation with a simple front end(Web app would be better). I have the model trained on the dataset 5000 parallel sentences (Singlish->Sinhala). The interface should have Input-> Singlish sentence (Language 01) Output -> Sinhala Sentence (Language 02) (Check the attached image) The output should be generated based on my ML model(The developer need to connect the interface to the python model).When we give a Singlish sentence as input it should be translated to Sinhala. I will give the python file and the dataset(parallel corpus) of the model .
I have two audio signals that I need to compare in real-time. The first signal is constant and is used as a reference. The second signals changes every 5 seconds. Both signals are a combination of multiple different frequencies with different powers. The goal is to compare the changing signal to the reference signal and display the % match. Currently, I am generating and visualizing the signals using Python- FFT code.
I would like to add machine learning to my flutter app, preferably with Tensorflow. My database set up is currently with firebase. **It's important that I work with a developer who knows how to communicate well and pays attention to details and stays on time. Please submit your proposal highlighting your experience with machine learning including what you have been able to accomplish with machine learning. Thanks
Next journey of ai ; Hiring position in Artificial Intelligence. zero to well knowledge of ai. Able to use common tools, experience with hardwares, operating systems including unix, programming language in C, sharps and plusses, python and Software Scientist. Monthly , Ringgit Malaysia ( RM 1000 ) Pandemic times, I don't have much money to spend. If you would like to work with me , then it's a month worth of journey and let's see where it goes. Thank you IK
I need help and guidance with the simulation of the Graph Neural networks and State estimation from scratch.
Discuss the analytic techniques used to analyze supervised and unsupervised learning. Provide an example.
Looking for Python Data Scientist, Please answer below questions to consider your bid 1) What is your linked in Profile URL ? 2) What is your Github profile URL ? 3) How will you remove special character (including spaces) from python Pandas column ? 4) What is your hourly rate ?
** Scope ** This context is to find the best approach to solving below problem. Please read all notes carefully before start working. ** Problem Statement ** Find root and stem part of the plant in picture. Measure size of detected parts with best accuracy possible. All photos will be of same plant category. All photos are taken in a controlled environment. Either camera location is fixed or a ref object will be available to calculate measurement. ** Expected ** Detailed description on how to approach this problem statement. What algorithm to use for which part of problem statement. How to achieve the final result. This should include the nature of input/training data/labels expected, etc. If different algos are used, details of them and how they are connected and the purpose served by ...
We have an image dataset of 3090 images divided into test, train and validation folders. This is a custom dataset, collected from internet. We need to do binary classification on these images, for which, we also have the target values. The images have also been cropped to have just the facial regions and we have another folder of facial cropped images again divided into test, train and validation with their respective target values. Results with the help of baseline algorithms have already been computed and fall in the range of 77-82% accuracy with both augmented and non-augmented data. We now need to propose a new method through which we can demonstrate an increase in accuracy either through ensemble, or multi-input tensorflow functional api or few shot learning.
The aim of this project is to develop a novel mechanism to analyze bug reports and categorize them as bugs, support questions and change requests, generate a report with issue details, and assign it to a specific developer automatically instead of the manual process.
We are looking for a developer who can create an algorithm that can do photo enhancement. We are a company that rent photobooth for parties and events. Here we have 200k-500k photos every week that is uploaded to a cloud where the costumers can view and download the photos. We need a server with an API to optimize/enhance the photos. The server should be hosted on AWS. If possible developed in Python. We need a complete solution including setup of the server. It is important that no photo is lowered in quality doing the enhancement. The photos varies a lot in lightning, distance, amount of people etc. We need a solution that can support it all. If there is a photo that somehow can't be optimized the original should be returned, instead of returning a photo that looks funny. Most ...
need to use Machine Learning ,Predicitve modelling on supply chain Analytics
I'm doing a research project to design several prediction modelling and compare them to achieve the best; I have numerous methods that I want to apply to conduct my analysis. The analysis required experts aware of using ArcMap/QGIS, Machine learning, and deep learning methods to achieve the project objectives. The Project needs to be done fast and in high quality. So, I need to develop spatiotemporal models that can get implemented for how the effective disease is going to spread over time and space "not classification". it can be done based on the location and the number of affected people each week, month and year. The required models are RNN, CNN, LSTM, TCN (Temporal Convolutional Network), GRU and a combination of this algorithm and cellular automata. in short: Through...
Extracting Software Security Requirements from a Software Requirement Specification Document, and that is through working on a DATASET to develop a Machine learning algorithm.