Machine Learning Jobs

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Fixed-Price - Expert ($$$) - Est. Budget: $800 - Posted
Hi, I need a system created that can copy a database of products from a popular ecommerce site and analyse the data. I would need the data to be able to be arranged through a filter system much like shopping for a product whilst analysing factors such as estimated monthly revenue, number of reviews and price. I need the software to be able to accurately track a popular websites product database and estimate a products monthly sales volume, by closely following a ranking system. Can you help?
Skills: Machine learning Algorithm Development Data Analytics Data mining
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
Hello there, I'm looking to hire someone to develop a supervised classifier model for text data in R that can categorize a large corpus of text into user-defined categories. Please have experience working in R and experience with machine learning and text classifier models. Potential models might include a random forest or neural network, but specifics can be discussed during interview.
Skills: Machine learning R
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, 30+ hrs/week - Posted
We are looking for an experienced python/scikit engineer to help us with out image recognition api. We will use this to predict make and model from our leanring set. We have ~1000 model vehicles and 5M classified vehicle images we would like to learn from. We are looking to predict make & model, color, year range from mobile image.
Skills: Machine learning Python TensorFlow
Fixed-Price - Intermediate ($$) - 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