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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    Respected Freelancers I am looking for someone who's good in Big Data Analytics using IBM Watson Analytics. I will share more details and data with shortlisted candidates. Looking forward for competitive bids. Regards

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    Speech Recognition Research 6 days left
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    We need someone to gather audio and text data, then build models using Kaldi.

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    I'm building a team collaboration dashboard that displays team members' social networks using their LinkedIn connections. For these connections, I would like to display a visualization that classifies each team members' connections by industry. However, the files I have do not have industry information for each connection. Instead I have company names. I am looking for help matc...

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    Thesis Writing Help Needed 5 days left
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    I need help in thesis writing. The topic is related to machine learning and signal processing. The work is done in MATLAB. Kindly bid with a proper proposal. I will share more details. Regards

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    Data Analysis 4 days left

    Function for Calculating Z-scores for data in a Numpy Array Concept: As a preliminary step in data analysis, certain types of data are transformed to ensure “good behavior” and “compatibility with other data.” One such transformation is the Z-score. Two series that has been transformed using the Z-score are more easily compared: [login to view URL] [login to view URL] I...

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    Big data and data science are set to bring in a digital revolution with groundbreaking technologies like artificial intelligence (AI), machine learning (ML), and deep learning. The essence of data science is to dive into massive datasets to extract meaningful information from them. The insights that data scientists and data analysts obtain from large volumes of data is the secret sauce that’...

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    1. Cluster stocks based on the price momentum by generating association rules 2. Use the clusters or association rules to determine the price momentum pattern 3. Develop a predictive model using SVM

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    Automatic response system to price lists through a database. 1. we collect information on price lists (mainly on Excel) 2. We enrich the database regularly to allow it to be as close as possible to the market reality 3. The module / program that we will develop together will facilitate the processing of historically collected data in order to make the response much faster 4. the program will work...

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    +++ No academic work is involved here, only the design of a title +++ +++ Experience in finance, information technology and academic writing are prerequisites for the task and help to realize a successful joint project +++ The thesis is about using data analytics to generate sales optimizations in the retail banking business. To do this, I look at the process from data collection to analysis as ...

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    The briefing (from German to English via Google Translate): Measurement of direct elasticity and cannibalization At the beginning of the season, the responsible Category Manager (CM) has adapted its prices for lawnmowers. He has lowered some prices of robot lawn mowers and then adapted constantly. At the end of the season, he then tries to make an assessment of his pricing measures. In doing s...

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    Project Overview The purpose of this engagement is to improve upon an already capable web application security product through a combination of data science research and implementation. The technology stack consists of a combination of Jupyter Notebooks, Python and associated libraries for research plus Apache Flink with Java or Python sidecars for implementation. This engagement is expected t...

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