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    zagros Posted 2020-09-01 19:08:38Z
    There is little question, big data analytics, data science, artificial intelligence (AI), and machine learning (ML), a subcategory of AI, have all experienced a tremendous surge in popularity over the last few years. Behind the marketing hype, these technologies are having a significant influence on many aspects of our modern lives. Due to their popularity and potential benefits, commercial enterprises, academic institutions, and the public sector are rushing to develop hardware and software solutions to lower the barriers to entry and increase the velocity of ML and Data Scientists and Engineers. 

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    zagros Posted 2020-01-06 02:41:27Z
    Which of these two proportions is higher: 4 out of 10, or 300 out of 1000? This sounds like a silly question. Obviously 4/10=.4, which is greater than 300/1000=.3.
    But suppose you were a baseball recruiter, trying to decide which of two potential players is a better batter based on how many hits they get. One has achieved 4 hits in 10 chances, the other 300 hits in 1000 chances. While the first player has a higher proportion of hits, it’s not a lot of evidence: a typical player tends to achieve a hit around 27% of the time, and this player’s 4/10 could be due to luck. The second player, on the other hand, has a lot of evidence that he’s an above-average batter.
    ...
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    zagros Posted 2019-12-31 21:34:51Z
    .NET Conf 2019 was full of great news and interesting pieces of information for those who love .NET world like me. It was specially interesting for me to watch presentation The Future of Blazor on the Client by Dan Roth who introduced on-going work with Blazor and plans for near future. Here’s my short overview with explanations about what’s going on.Here’s the roadmap for client-side Blazor shown by Dan Roth during his presentation.

    Note: First stable release of client-side Blazor is planned to launch at May 2020.
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    zagros Posted 2019-09-30 17:25:08Z
    We’re excited to announce the release of .NET Core 3.0. It includes many improvements, including adding Windows Forms and WPF, adding new JSON APIs, support for ARM64 and improving performance across the board. C# 8 is also part of this release, which includes nullable, async streams, and more patterns. F# 4.7 is included, and focused on relaxing syntax and targeting .NET Standard 2.0. You can start updating existing projects to target .NET Core 3.0 today. The release is compatible with previous versions, making updating easy.
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    zagros Posted 2019-05-10 00:52:56Z
    Introducing .NET 5

    Today, we’re announcing that the next release after .NET Core 3.0 will be .NET 5. This will be the next big release in the .NET family.There will be just one .NET going forward, and you will be able to use it to target Windows, Linux, macOS, iOS, Android, tvOS, watchOS and WebAssembly and more.We will introduce new .NET APIs, runtime capabilities and language features as part of .NET 5.

    and .net core 3.0 will be release at Sep 2019
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    zagros Posted 2017-01-29 21:08:28Z
    Python is fast becoming the preferred language for data scientists – and for good reasons. It provides the larger ecosystem of a programming language and the depth of good scientific computation libraries. If you are starting to learn Python, have a look at learning path on Python.Among its scientific computation libraries, I found Pandas to be the most useful for data science operations. Pandas, along with Scikit-learn provides almost the entire stack needed by a data scientist. This article focuses on providing 12 ways for data manipulation in Python. I’ve also shared some tips & tricks which will allow you to work faster.
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    zagros Posted 2016-06-17 02:52:39Z
    Microsoft Corp. snapped up LinkedIn Corp. for $26.2 billion in the largest acquisition in its history, betting the professional social network can rev up the tech titan’s software offerings despite recent struggles by both companies.The deal is Chief Executive Satya Nadella’s latest effort to revitalize Microsoft, which was viewed not long ago as left behind by shifts in technology. Mr. Nadella hopes the deal will open new horizons for Microsoft’s Office suite as well as LinkedIn, both of which have saturated their markets, and generally bolster Microsoft’s revenue and competitive position.
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    zagros Posted 2016-04-21 02:49:51Z
    Many of those who call themselves statisticians just won't admit that data science heavily relies on and uses (heretical, rule-breaking) statistical science, or they don't recognize the true statistical nature of these data science techniques (some are 15-year old), or are opposed to the modernization of their statistical arsenal. They already missed the train when machine learning became a popular discipline (also heavily based on statistics) more than 15 years ago. Now machine learning professionals, who are statistical practitioners working on problems such as clustering, far outnumber statisticians.
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    zagros Posted 2015-11-14 22:28:58Z
    About data scientists

    Rising alongside the relatively new technology of big data is the new job title data scientist. While not tied exclusively to big data projects, the data scientist role does complement them because of the increased breadth and depth of data being examined, as compared to traditional
    roles.

    So what does a data scientist do?

    A data scientist represents an evolution from the business or data analyst role. The formal training is similar, with a solid foundation typically in computer science and applications, modeling, statistics, analytics and math. What sets the data scientist apart is strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge. Good data scientists will not just address business problems, they will pick the right problems that have the most value to the organization.
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    zagros Posted 2015-06-25 22:25:28Z
    Feature selection techniques have become an apparent need in many bioinformatics applications. In addition to the large pool of techniques that have already been developed in the machine learning and data mining fields, specific applications in bioinformatics have led to a wealth of newly proposed techniques.
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