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.

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    13 munkát találtunk, az árak pénzneme: EUR

    # background to write 2 class 1) to compare 2 image similarity and output result as array of % 2) to create statistic report output as dictionary > Json / XML # requirement 1) write in python 2) use common library if possible 3) request opinion: can this logic run in pyspark / tensorflow or some other machine learning technology / GPU when image are "too many" # pseudo code im...

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    What's simple random sampling? Is it possible to sample data instances using a distribution different from the uniform distribution? If so, give an example of a probability distribution of the data instances that is different from uniform (i.e., equal probability).

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    Tableau preferred! We are looking for a very experienced data analyst/scientist to help build our company KPI/Metric dashboard and be in charge of creating reports, data input, data analysis, and consulting. Examples would be sales metrics, web metrics, socials metrics, marketing, room/hotel metrics, revenue... This would be a long-term project and and could involve two different companies. ...

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    We are looking for a data scientist who can help us with a project with analysis of temperature, energy and sensor data to look for optimisation opportunities and classification of data to generate messages to help optimise building performance. Knowledge and prior experience in building automation, HVAC and sensor data modelling is a plus. Work can be done in any programming environment but needs...

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    Machine Learning Tutor 5 nap left
    IGAZOLT

    I will be doing several online courses on machine learning these couple of months. I study a MSc in Computational Finance and would like (1) support with the theory of machine learning, and I’ll also (2) sign up to Kaggle competitions which it would be great if you could assist with. For (1), to get started I am doing courses on CourseRA which I would like your help with. The amount of tuto...

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    I am looking at developing a decision making support tool that will assist companies to choose best software solution among a set of alternatives. This tool -black box - will use an install base database to train the model and will receive as inputs a couple of informations about the company (Exe: Nbre of employees, sector, Turnover, Budget..etc).

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    Problem: The R script we've been using, in combination with Microsoft's version of Open R, no longer works for larger applications for our growing database (e.g., files >10GB, datatables with greater than 2^31 rows, matrices > 50k x 50k). Need: An expert in R coding with significant experience working with big data sets to: (1) clean up our code and make it more efficient/reduce r...

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    The goal of the project is to create an operational data intelligence platform capable of monitoring, alerting, reporting. I am currently considering Elastic (ELK stack) + FileBeats. After being selected & signing a nondisclosure agreement, you will be working to translate my experience and insights through the lens of your technical prowess & experience with big data & machine learn...

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    I need an experienced research fellow who could guide me in doing a computer science research, writing a research paper and publishing it.

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    Lidar analysis 2 nap left

    We made some lidar measurements of a ship. Now, we want to analyze the data. Main activities: - load data (a pcap file) - detect/classify the ship - determine velocity and / or angle of the ship Looking for someone with experience in lidar data who can help us with analyzing/modeling. We prefer to have the scripts in Python3.

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    need help with deep learning and working of GAN method

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    We need a freelancer trainer who is well experienced in big data. He/She should teach students in big data,Conduct workshop,Help students in projects etc..,

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    Trophy icon 10x better search engine 4 nap left

    Define the specs for a 10x better search engine then Google, from user perspective.

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    4 pályamű