Data science, which should not be mistaken for information science, is a field of study that uses scientific processes, methods, systems, and algorithms to extract insights and knowledge from various forms of data, be it structured or unstructured. It is similar to data mining and is a conception to unify machine learning, data analysis, statistics, and their related methods so as to analyze and understand the actual facts about data. Data science employs theories and techniques taken from many disciplines such as computer science, information science, statistics, and mathematics.
In a nutshell, data science can be said to be a multidisciplinary blend of algorithm development, data inference, and technology in a way to find solution to analytically complex problems. Data science is useful to anyone who wants to be a data miner.Palkkaa Data Science Experts
The project is about Dog Breed classification. It has been hosted at Kaggle competition. Need complete code with explanation and final report of the analysis done and models implemented with its reasoning. Needs to be implemented in Python. Skills Req: Python, Deep Learning, CNN, Tenserflow, Keras, Cloud computing Link: [kirjaudu nähdäksesi URL:n]
I have a dataset and I need to perform some data analytics using machine learning techniques. I require some suggestions as to what can be performed on this dataset? Here is the link [kirjaudu nähdäksesi URL:n]
AI Trainer Required for providing Online training on weekends (60 Hours Training)
We are looking for Data Scientist must be available in our business hours. There will be some Data Entry work required. Software Development Experience is considerable, but not required. Please apply to this position, will start soon.
Im trying to get a quick basic overview of bigdata industry, what it is, how it can benefit my business, what sort of services/products there are in the market etc. Would like to consult with someone who is expert @ bigdata for 1 hour for the start.
my major is Applied Statistics. And i need some help to write a good Phd proposal. The topic that i have chosen is " Using time series modeling ARIMA model in predicting future points forecasting in Global worming and how this will affect on agriculture industry" ARIMA is Autoregressive integrated moving average. data collection: I'm planing to use a data set with a large sample ...
The idea is to create a tool what prices should be around at any given moment of the match, based on other markets. In betfair, the most liquid markets are Match Odds and Over/Under 2.5 goals. Based on these markets, one can derive the price the other less liquid markets should be at, like correct scores, under/over 3.5, etc Once taken this into account, one can create a sample of historic match...
We need a developer who can customize dimension in google analytics and retrieve the data from the google analytics. Experience in scripting with SQL, extracting large sets of data, and design of ETL flows. Experience in an inter-disciplinary/cross-functional field. Interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation...