Machine Learning Jobs

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Fixed-Price - Intermediate ($$) - Est. Budget: $250 - Posted
Here is a nice tool that I used https://github.com/dansoutner/LSTMLM but it is missing some features: 1. It has --ngram parameter that changes results of this program in accordance with some other ARPA LM. I need to have a parameter to reverse it. So that the ARPA file is modified (rescored) in accordante to this program results. 2. I use --ngram parameter like that: python lstmlm.py --initmodel modele/ClaLM.LSTMLM.med.4.lstm --ppl modele/ClaTest.pl --ngram modele/ClaLM.lm.1 0.2 to do the evaluation. All is good but If I want to save combined models with command: python lstmlm.py --initmodel modele/ClaLM.LSTMLM.med.4.lstm --ppl modele/ClaTest.pl --ngram modele/ClaLM.lm.1 0.2 --save-net modele/combined.lstm the program does not save anything. 3. (NOT OBLIGATORY) If it works on GPU and I supply large model that exeeds GPU memory program crashes with: Traceback (most recent call last): File "lstmlm.py", line 937, in <module> lstmlm = LSTMLM(args) File "lstmlm.py", line 221, in __init__ self.model.to_gpu() File "/lib/python2.7/site-packages/chainer/link.py", line 479, in to_gpu d[name].to_gpu() File "/lib/python2.7/site-packages/chainer/link.py", line 479, in to_gpu d[name].to_gpu() File "/lib/python2.7/site-packages/chainer/link.py", line 226, in to_gpu d[name].to_gpu() File "/lib/python2.7/site-packages/chainer/variable.py", line 210, in to_gpu self._grad = cuda.to_gpu(self._grad) File "/lib/python2.7/site-packages/chainer/cuda.py", line 217, in to_gpu return cupy.asarray(array) File "/lib/python2.7/site-packages/cupy/creation/from_data.py", line 47, in asarray return cupy.array(a, dtype=dtype, copy=False) File "/lib/python2.7/site-packages/cupy/creation/from_data.py", line 27, in array return core.array(obj, dtype, copy, ndmin) File "cupy/core/core.pyx", line 1400, in cupy.core.core.array (cupy/core/core.cpp:49505) File "cupy/core/core.pyx", line 1419, in cupy.core.core.array (cupy/core/core.cpp:49263) File "cupy/core/core.pyx", line 87, in cupy.core.core.ndarray.__init__ (cupy/core/core.cpp:5019) File "cupy/cuda/memory.pyx", line 275, in cupy.cuda.memory.alloc (cupy/cuda/memory.cpp:5517) File "cupy/cuda/memory.pyx", line 414, in cupy.cuda.memory.MemoryPool.malloc (cupy/cuda/memory.cpp:8078) File "cupy/cuda/memory.pyx", line 430, in cupy.cuda.memory.MemoryPool.malloc (cupy/cuda/memory.cpp:8004) File "cupy/cuda/memory.pyx", line 337, in cupy.cuda.memory.SingleDeviceMemoryPool.malloc (cupy/cuda/memory.cpp:6972) File "cupy/cuda/memory.pyx", line 357, in cupy.cuda.memory.SingleDeviceMemoryPool.malloc (cupy/cuda/memory.cpp:6799) File "cupy/cuda/memory.pyx", line 255, in cupy.cuda.memory._malloc (cupy/cuda/memory.cpp:5459) File "cupy/cuda/memory.pyx", line 256, in cupy.cuda.memory._malloc (cupy/cuda/memory.cpp:5380) File "cupy/cuda/memory.pyx", line 31, in cupy.cuda.memory.Memory.__init__ (cupy/cuda/memory.cpp:1542) File "cupy/cuda/runtime.pyx", line 181, in cupy.cuda.runtime.malloc (cupy/cuda/runtime.cpp:3065) File "cupy/cuda/runtime.pyx", line 111, in cupy.cuda.runtime.check_status (cupy/cuda/runtime.cpp:1980) cupy.cuda.runtime.CUDARuntimeError: cudaErrorMemoryAllocation: out of memory So here I got a question if this can be easily solved ? If you cannot solve the last one please place your bit with comment that without task 3.
Skills: Machine learning Artificial Neural Networks CUDA Deep Neural Networks
Fixed-Price - Expert ($$$) - Est. Budget: $300 - Posted
I would like to develop a machine learning algorithm for my existing application. So, please bid here if you are expert in developing a machine learning algorithm and hard worker thanks a lot.
Skills: Machine learning Adaptive Algorithms Algorithm Development Algorithms
Fixed-Price - Intermediate ($$) - Est. Budget: $300 - Posted
I am looking for a person to create a ML algorithm using a formula that I have to guess the next play in an N F L game. I have a front end written in php and all data is in a mysql database. On the front end, I will choose the teams and input some info in the text boxes and hit submit. What I am looking for is for someone to create the ML algorithm to quickly show the "guess" and the % it thinks it is correct. So for example "Pass 72%" which means, the ML algorithm is guessing the next play will be a pass 72% of the time. I am considering this a simple project due to me having the variables I want you to compare and get the answer to. This will most likely be phase 1 or bonus at the end if we have to make tons of adjustments to the formula. I am looking for a 70%+ accuracy and have old historical data that we can test with. The front end is written in PHP and has a MySQL database. It uses simple html form info so you can write this in anything compatible but it must work with the front end I have. You could pass the variables from the form to your script and have your script spit out the next play and % and then just populate the form with that info.
Skills: Machine learning PHP
Hourly - Intermediate ($$) - Est. Time: 3 to 6 months, Less than 10 hrs/week - Posted
We are looking for mathematician/physicist/engineer that is well-versed in machine learning algorithms (neural networks, SVM, k-means, kalman filter etc) specially dealing with inputs from MEMS sensor (such as Accelerometer, Gyroscope, Magnetometer and altimeter). The candidate should be very strong in C and Matlab and preferably some understanding in embedded development (STM32). The task is twofold: 1) Find and implement in C a proper algorithm that can detect a fall 2) Find and implement in C a proper algorithms to do pedestrian death reckoning (inertial navigation inside a house)
Skills: Machine learning C Mathematics MATLAB
Hourly - Expert ($$$) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
Im looking for someone with experience in photo recognition solutions such as Google Vision to help create a proof of concept for a new product. At a high level the objective will be to use image recognition to categories images of documents. If we're successful this may continue into a larger project. thanks
Skills: Machine learning
Hourly - Expert ($$$) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
Hello, I am looking for support in building and updating Machine Learning models using Azure Machine Learning. The initial task is the following: Building a recommendation engine, the data is already available the model we want to use is already chosen, but need assistant with manipulating and reducing the data through feature hashing, principal component analysis etc. I am hoping to establish a relationship with someone who has strong Machine Learning and statistical experience and can assist in evaluations of multiple clustering and predictive models. Thanks!
Skills: Machine learning R Microsoft Windows Azure
Hourly - Expert ($$$) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
The company helps publishers monetize their digital assets using advertising The company makes money by taking advertising from multiple third party advertising networks and agencies, and through a proprietary process, dynamically places it within a publisher’s digital asset. From there, the company collects the revenue from the networks and agencies, takes it commission, then remits the remainder of the funds to the publisher. Advertising networks and agencies (advertising partners) use different methodologies to price the advertising space they are buying within a publisher’s digital asset. Some advertising partners use a straight CPM (cost per 1000 impressions) method, others use a PPC (price per click) method, while very few use a CPA (cost per acquisition) method. In addition to the disparate pricing methods, advertising partners also use disparate placement methods such as RTB (real time bidding) with the acceptance of a price floor, RTB with no pricing floor, a black box of only knowing what the PPC is after click occurs. Given these pricing and placement differences, the company needs to develop a yield maximization algorithm where it can maximize the revenue from each ad unit, in a particular digital asset. Actual final coding will be conducted by our in-house engineers. Attached is related research.
Skills: Machine learning Adaptive Algorithms Algorithm Development Data Modeling
Fixed-Price - Expert ($$$) - Est. Budget: $250 - Posted
We are looking for a seasoned professional on Machine Learning, Experience with the Spanish Language on a modeling level (If not with previous experience with bots on Spanish, experience on creating conversational bots in English, will be fine), and Facebook Bots. The main idea is solve in an automated way the easiest (and more common questions) regarding client services, in order to speed up support questions, we have a big corpus of samples answered by human operators on the range of a full year. We are open to a software platform (The selected platform/tools/libraries must be free/opensource) or worked from scratch, If need licences or webservices must document their cost and relevancy to the project. All the interactions to the client must be done with Facebook Messenger (This part is not the most important, the most important part of this project is working on the questions solving). If the pricing is too low, we can talk to ensure both us, can have the maximum benefit (for me a productive, freelancer and a quality work, and a proper monetary reward for you).
Skills: Machine learning Data Science Natural language processing