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Data Scientists - Digging data, Big Data, Analysis, Data Mining | datascientists.info Reviews
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Digging data, Big Data, Analysis, Data Mining
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Datawarehouse | Data Scientists
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Digging data, Big Data, Analysis, Data Mining. Python vs. R for Data Science. February 15, 2015. In Data Science there are two languages that compete for users. On one side there is R. On the other Python. Both have a huge userbase, but there is some discussion, which is better to use in a Data Science context. Lets explore both a bit:. R was developed solely for the purpose of statistical computing, so it has some advantages there, since it is specialized and has been around some years. Python is co...
Data Science | Data Scientists
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Digging data, Big Data, Analysis, Data Mining. Category Archives: Data Science. Python vs. R for Data Science. February 15, 2015. In Data Science there are two languages that compete for users. On one side there is R. On the other Python. Both have a huge userbase, but there is some discussion, which is better to use in a Data Science context. Lets explore both a bit:. R was developed solely for the purpose of statistical computing, so it has some advantages there, since it is specialized and has been ar...
Tools | Data Scientists
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Digging data, Big Data, Analysis, Data Mining. Python vs. R for Data Science. February 15, 2015. In Data Science there are two languages that compete for users. On one side there is R. On the other Python. Both have a huge userbase, but there is some discussion, which is better to use in a Data Science context. Lets explore both a bit:. R was developed solely for the purpose of statistical computing, so it has some advantages there, since it is specialized and has been around some years. Python is co...
Machine Learning | Data Scientists
http://datascientists.info/category/machine-learning
Digging data, Big Data, Analysis, Data Mining. Category Archives: Machine Learning. Python vs. R for Data Science. February 15, 2015. In Data Science there are two languages that compete for users. On one side there is R. On the other Python. Both have a huge userbase, but there is some discussion, which is better to use in a Data Science context. Lets explore both a bit:. R was developed solely for the purpose of statistical computing, so it has some advantages there, since it is specialized and has bee...
Visualization | Data Scientists
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Digging data, Big Data, Analysis, Data Mining. Python vs. R for Data Science. February 15, 2015. In Data Science there are two languages that compete for users. On one side there is R. On the other Python. Both have a huge userbase, but there is some discussion, which is better to use in a Data Science context. Lets explore both a bit:. R was developed solely for the purpose of statistical computing, so it has some advantages there, since it is specialized and has been around some years. Python is co...
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Marc Matt
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Expirienced data modeller for traditional datawarehouses and big data solutions. Proficient in data mining, machine learning, text mining and exploring data vizually. Experienced in managing data related projects. Practicing the art of aikido for more than 10 years. Combining this expirience with my Aikido practice teaches me patience and to be humble in the sight of new challenges. Especially the challenges of making huge amounts of data usable and gaining insights from it are my favourite passtime.
Marc Matt
http://www.matt-online.info/index.php?/most_visited
Expirienced data modeller for traditional datawarehouses and big data solutions. Proficient in data mining, machine learning, text mining and exploring data vizually. Experienced in managing data related projects. Practicing the art of aikido for more than 10 years. Combining this expirience with my Aikido practice teaches me patience and to be humble in the sight of new challenges. Especially the challenges of making huge amounts of data usable and gaining insights from it are my favourite passtime.
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Analysing and computing using various algorithms and computational patterns with statistical world of Math. How to store the data in various forms? Role of Big Data Technology for such storage against traditional storage means. Data Scientist Lab (DSL). Check here to receive email updates. Thank you for contacting us! If needed, you will hear back within 48-72 hours. Email your thoughts here. What do we do with the data analysed and who can benefit from the generated report. Report customization.
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Data Scientists - Digging data, Big Data, Analysis, Data Mining
Digging data, Big Data, Analysis, Data Mining. Data Science: What is it? Data Scientist: Hype or Sexy? Scroll down to content. October 29, 2017. January 21, 2018. Analytics Platform: An Evolution from Data Lake. Having built a Data Lake for your company’s analytical needs, there soon will arise new use cases, that cannot be easily covered with the Data Lake architecture I covered in previous posts, like Apache HAWQ : Building an easily accessable Data Lake. Definition of an Analytics Platform. You are al...
Data Scientists
Is your Data Scientist career stagnant? If you feel like your Data Scientist career could be accelerating at a much faster rate and are looking for a mentorship program that includes both right brain and left brain development, answer the following survey to see if you qualify for "The Extraordinary Data Scientist Program". How Can Thick Data Improve the Way We Use Big Data? Friday, June 30, 2017. April 16, 2017 TedTalk: https:/ www.youtube.com/watch? V=WaOUJa9fjXU (https:/ www.y . Thursday, June 15, 2017.
Bhutan Data Scientists | Welcome
Data Science Services for a Sustainable Future. We are experts in data and technology driven by a passion to learn more and do more with data. Our founders are pioneers in data science and have over 10 years of practical experience of data science applications. We have invented, deployed and supported data-driven projects with industries of Health, Construction, Finance and Telecommunications. We develop data-driven custom and appropriate systems for any environment. How we do it. What we done so far.
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