Datavidenskab Jobs
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.
Ansæt Data Science ExpertsWe 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...
Hi, I need an R programmer to help me understand some concepts of Statistics and R programming e.g Cauchy distribution, Fisher’s information etc. Only bid if you're aware of all these concepts. thanks.
More details will be shared in the PMB.
Designs and develops systems to analyze unstructured "big data" sources to generate actionable insights and solutions for client's product enhancement Essential Duties and Responsibilities: • Interacts with and queries Cross Functional Teams to identify issues with data analysis, experiments and significance • Develops algorithms and automated processes to cleanse, integra...
We have a set of data describing a million customers’ various attributes such as demographics, entire purchasing history and app browsing history. It is therefore possible to model the data to predict each customer’s repurchase probability on an individual level. You are then faced with a limited marketing budget, which you can choose to allocate to a set of customers of your choice wi...
Since freelancer is removing line breaks, you might look at the attached text file with a better layout. I have a table that contains about 5,000,000 records. It is a key-value pair and It has recordID, field_name, field_value, date_created. There are 3,000 different field_names. Some values have JSON with some additional properties. Ex. recordID; field_name; field_value 1; name; John; 2; n...
For a long term project, we are seeking high-performance Consultants to join our dynamic team. We are a rapidly growing consultancy focused on helping clients to effectively manage and market their products by leveraging technologies such as Product Information Management (PIM) systems and e-commerce platforms. our experience with enterprise PIM systems such as Agility Multichannel, Informatica (H...
I need an expert Machine Learning expert in Python to help me quickly get up to speed on machine learning models. I already have 7 years of professional experience in analytics in SAS, R, Tableau etc. So please ensure that you have the level of expertise to add value to me.
I need to create some dashboards from multiple sources of data. Possible ongoing work. Must be available to work in London.
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...
I need help with an AI project focusing on the following algos: decision trees random forests Ada boost
A special project where we need a data scientist to comb through data from 150 survey respondents and find trends. Need to understand how woman answer vs. men, age differences, program differences, etc.
I need some person show is very good in optimization and data mining. Please bid if you are good in those subjects.
I need some person show is very good in optimization and data mining. Please bid if you are good in those subjects.
We are building a model for Anomaly Detection on multivariate data. We are targeting in getting the anomaly scores and importance of every variable for each observation.I used Isolation Forest for the same. We also used online platforms like BigML to get the results. But facing problem in getting those same results from R. We are mainly facing issue with getting the importance of individual varia...
I am looking for a experience data scientist to look at a list of 30 people and give me unique insights that I already don't know. The ideal person is a senior data scientist Asks a lot of questions from me via email or zoom Takes time to analyze my data and give me insights that I don't know myself I will not pay for any of the insights that I already know
Preparing and preprocessing the data 3. Finding rules, including appropriate parameter setting 4. Determining which of the resulting rules are interesting 5. Figuring out how the interesting rules could be useful 1. Objectives: What is the domain and what are the potential benefits to be derived from association rule mining. This is high level - not find patterns, but what would improve because ...
