Here is a run down on what programming languages are dominating the mobile app space in 2017.
Summarise into a word document the key learning points from a set of articles from blog posts that I will direct you to. Try to cut down the content into 1/5th of the length. Please summarise the most recent 12 blog posts into around 3 paragraphs from the website [url removed, login to view]
We need to build a solution of finding out composite image indiscreetly distributed on internet and SNS: detecting face image and composited human picture. It should run as web tool on AWS in Korea. It will use AI and Deep Learning techniques to find whether a certain image is fake or real and its uniqueness is that it can be trained and learn and
The clients need to build a student information management system. This system doesn’t need to include all features and functions as shown in the paragraph above. The software system only stores and retrieves students’ partial information in the current semester and other basic information including student’s name, student’s ID, registered courses in
...installation , green building ,car services electrical & mechanical , tourist services , construction project management looking to build all courses relating to above subjects from A¬Z to provide training for person who don't know the job to become expert every course should cover ALL jobs under those categories ( example if we talk about solar , will
...dos variables que evolucionan a nivel diario, tengo 6 años de datos, desarrolle un pronostico semanal para la variable 1, y me gustaria pronosticar la variable 2 usando machine learning. Tengo un conocimiento basico de lenguages como Python o R, de los modelos estadisticos que debo usar, pero necesito ayuda para aprender a evaluar el modelo predictivo
We want to hire a persons who can develop a website based on machine learning, data mining for ease access to costumers.
I work as a visual artist. My project is based upon the goal that a houseplant control motor actuators. More info about the project can be found here: [url removed, login to view] Two differential signals (four electrodes) are collected from the plant's leafs. The signals goes to a raspberry pi by a ads1115 16-bit adc. The goal is that
I need someone to create 30-40 interactive worksheets for kindergarten for me to put into the Kindergarten Learning Activity Binder for distribution. Created will be given where credit is due! Worksheets need to cover: 1. Human Anatomy basics. 2. USA map, states. 3. Solar System- Planets. 4. Letter - Caps & Lows. 5. Weather and Seasons.
...reinforcement learning agent. My main goal is to make reinforcement learning technique explainable / transparent for the user. We can visualize / present future behaviors of actions of the trained algorithm. That would be simple and a good starting point to do something real / bigger in the next gigs as I have lots of work. Language: Python, you
I need a method, technique to make Reinforcement Learning Agent Explainable, Transparent for the operator. In Python or Matlab. After this test work, we will have more similar and bigger tasks focused on Reinforcement Learning and Accountability.
We're currently developing a fitness application which will generate workouts and nutrition plans based on the individual user. We're looking for someone who can use an existing dataset to train a machine learning algorithm to generate workouts, which can then be improved by the user interaction on the site.
very simple python project. doing a regression analysis and finding out the r square and mean error scale values
I have six million images in amazon s3, and I want to use deep learning models to extract features and run comparisons on those feature vectors to identify duplicates. there are some libs out there that can help with this. I need for this to be implemented using tensorflow. We have some helper code you can use an aws spot instance with docker container
...trained to connect the parameters and give a full set of parameters as an output f.e. parameters would be "width", "length", "type of glass", "type of frame", "sound insulation", "colour" etc. The parameters are listed in different places of the document. The user should then train the app to connect the parameters to a s...
...newspapers write articles aimed at certain age groups. For example, a women's magazine might have articles aimed at women in their 20s, as well as articles aimed at women in their 40s. I need a classifier which can detect the target age group of an article. You don't need to write a crawler. You just need to train the models, and provide the code