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Data Science (in English) - beBee

Data Science (in English)

~ 100 buzzes
  1. ProducerAli Anani

    Ali Anani

    The Hidden Paradox of Predictability
    The Hidden Paradox of PredictabilityThe weather forecast hasn't been very accurate in our region this year. Warnings of heavy snow storms were mostly false warnings. The response to the warnings was peoples started to store food supplies, fill tanks with fuel for heating homes and...


    David B. Grinberg
    12/03/2017 #9 David B. Grinberg
    Nice buzz, as always, Ali. My favorite probability models related to -- you guessed it -- space. My favorite is The Drake Equation which posits the number active advanced intelligence civilizations within our own Milky Way Galaxy (a range from a low of 1,000 to a high of 100,000,000. The antithesis of this model would be Fermi's Paradox (which can be disputed/argued per "Ancient Astronaut Theory" and UFO reporting starting from the dawn of human civilization to the present).
    YOUR thoughts?
    Ali Anani
    12/03/2017 #8 Ali Anani
    #7 Great thoughts dear @Sara Jacobovici. I appreciate your differences with me. Yes, local supporters can be of help. Yet; I have watched matches in which the supporters got so furious with the performance of their team and chanted for the opponent. What is assumed to be an asset turned into a liability. Despairing audience may turn their team into a bunch of runners.
    As for the prediction Almanac- it is an astonishing example and I wonder if predictability gets better, same or less. It is a striking example of trying to predict the future.
    In trying to predict, sometimes we increase unpredictability. Is the a behavior of complex systems? I need to think more.
    Thank you Sara for provoking my mind with your astute feedback.
    Sara Jacobovici
    12/03/2017 #7 Sara Jacobovici
    Your buzzes push at my mind to expand and make connections. Thank you @Ali Anani. You write: "But football is a game and so is life." It fascinates me how we look to sports and games to understand ourselves and our world. Brilliant economists design games and Einstein was quoted as saying, "God does not play dice with the universe." Now that we can simulate the image of 2 black holes (before they merge), it looks like "bowling" may be the game of the universe. https://www.ligo.caltech.edu/LA/image/ligo20160211d

    You write very powerfully: "We prison ourselves in determinism." Although your statement reminds me of what can happen when we take our need to predict to its negative side of the spectrum, it also reminded me of this: "The original Farmer's Almanac founded in 1792, Old Farmer's Almanac is a reference book that contains weather forecasts, tide tables, planting charts, astronomical data, recipes, and articles on a number of topics, including gardening, sports, astronomy, and farming. The Almanac also features anecdotes and a section that predicts trends in fashion, food, home décor, technology, and living for the coming year. Released the first Tuesday in the September that precedes the year printed on its cover, The Old Farmer's Almanac has been published continuously since 1792, making it the oldest continuously published periodical in North America."

    And finally, you write: "The closed clusters of supporters can't change the result of the match." As a sports fan with a firm belief in hometown advantage, I beg to differ with you ;-) Thanks for another provocative post Dr. Ali.
    Ali Anani
    12/03/2017 #6 Ali Anani
    #3 Thank you for making such profound reflection @Liesbeth Leysen, MSc. Brand Ambassador beBee, Inc.
    Ali Anani
    12/03/2017 #5 Ali Anani
    #2 Wonderfully expressed @Mohammed A. Jawad. You are eloquent and I agree with you. Your mentioning of making assumptions is correct ad relevant. Sadly, mostly our assumptions turn to be wrong.
    Ali Anani
    12/03/2017 #4 Ali Anani
    #1 You remind me @Harvey Lloyd of the weather forecast that about 20 years ago predicted the weather in Brazil would be unusually frosting. It turned out to be and the price of brazilian coffee beans shot up.
    I fully concur with your lines "...Or am i a part of a much larger environment whereby i have to learn to be successful within"? Yes, I believe this is the better choice and you put your view firmly on ground with your sound explanations. I feel like saying we progressively live in a world of decreasing predictability.
    Liesbeth Leysen, MSc. Brand Ambassador beBee, Inc.
    12/03/2017 #3 Liesbeth Leysen, MSc. Brand Ambassador beBee, Inc.
    inspiring @Ali Anani with much playroom for personal reflection, thank you for your creation!
    Mohammed A. Jawad
    12/03/2017 #2 Mohammed A. Jawad
    Oftentimes, we cast off realities and carry on with our own ways; we sometimes take predictions to heart and come up with our own shuddering assumptions and stay behind with still hopes. Presumably, betwixt sheer conjectures and true happenings we miss matters of priorities with our vain miscalculations.
    Harvey Lloyd
    12/03/2017 #1 Harvey Lloyd
    Two questions or one concept comes to mind in reading your post this morning. Do i make my environment; Or am i a part of a much larger environment whereby i have to learn to be successful within?

    How you answer the question determines your reliance of predictions. I have always thought that the latter was the question we needed to affirm. By assuming this answer we realize that we are all adrift inside a ever changing environment where we all experience the unpredictability together.

    I like predictions weather and others. But reliance on any prediction is Russian roulette. Our ability to understand the biases in predictions gives us the foresight to read the unfolding events into our own evolving predictions.

    Our weather here has become a off Broadway production. They seem to sell you the weather with great actors. Its great for the milk and egg industry locally. One mention of snow and the local groceries have a field day of sales.
  2. Zacharias Voulgaris 🐝
    Today I read an article by this Danish PhD student, who is also an avid Julia user. There he describes how Julia is now something you can find on the Azure VM. Yet, this option that we now take for granted wasn't always there. Believe it or not, there was a time, not too long ago, when Julia was a very niche topic of interest, somewhat irrelevant to data science. So, I decided to write an article myself, to share my thoughts on all this...
    Zacharias Voulgaris 🐝
    Some Thoughts on Julia Language and Its Role in Data Science
    www.foxydatascience.com Julia has been a topic of controversy in the previous year, the year that was critical for the language’s future, at least in the data science domain. In the beginning of that year, while...
  3. Zacharias Voulgaris 🐝
    I've read several books on Data Science over the year and although most of them were quite insightful, there is one thing that was missing and kept bugging me: bugs and mistakes in data science and how we can deal with them! Since getting vexed about it was counter-productive, I decided to make a video about this topic, which is now available at Safari Books Online. Check it out when you have the chance
    Zacharias Voulgaris 🐝
    Bugs and Mistakes in Data Science [Video]
    www.safaribooksonline.com Data science projects are not so straight-forward in practice. Many hands-on books describe various parts of the process in such a way that you may come to expect everything to ... - Selection from Bugs and Mistakes in Data Science...
  4. George Touryliov
    For 2017, customer trends show a growing emphasis on shifting local and global identity, the impact of intersectionality on business and culture, and the real threats in the realm of cyber security. For marketers and business this means staying culturally relevant is even more important. The trends to watch -
    George Touryliov
    Big Data Trends to Watch in 2017
    www.business2community.com Last year’s trend outlook for 2016 suggested that you keep your eye on growing consumer control, the emerging questions about AI and our excitement about the prospects of virtual reality...
  5. Zacharias Voulgaris 🐝
    I'd like to hear your views on this one: . Apparently this guy hasn't really done his homework, since DL and other ANN-based methods are under the ML umbrella. Leaving this aside, though, what do you think of his thesis? Is ML truly inferior to DL as he suggests? Are human data scientists going obsolete due to the advancements of DL and other A.I. techniques?
    Zacharias Voulgaris 🐝
    Machine Learning is Dead, Long Live Deep Learning
    razorthink-2424313.hs-sites.com I’m not making this up. Computers are doing things that human beings literally can’t at a much higher proficiency level. A few...
  6. Zacharias Voulgaris 🐝
    Apologies for the source of this article. I just couldn't resist, but at the same time I couldn't comment on the LI platform (that would go against my new year's resolution!). I've been looking at the problem of natural language and text analytics a lot lately (I'm part of a team that explores this field, in Seattle). Although ANNs are a very mature technology with many promising applications, that's not the type of A.I. I'd use. Don't get me wrong. I like conventional A.I. and I've worked with neural nets. Hell, even my advisor for my PhD was a neural network expert! Still, the more I look into this topic, the more I find that ANNs are better suited for other applications, while natural language is best modeled through other, more intuitive approaches that have little to do with conventional A.I. methods, such as ANNs.
    Zacharias Voulgaris 🐝
    Is Google Hyping it? Why Deep Learning cannot be Applied to Natural Languages Easily
    www.linkedin.com Neural networks (NNs), recently referred to as deep learning, only work "effectively" with data that is produced from a process of a continuous function. My article should actually stop here with...
  7. Zacharias Voulgaris 🐝
    Lots of people are talking about imagination these days (or maybe it's just Bees, I don't know). Few people talk about how it applies to data science though. I'm one of those people, as you can see from my latest blog post.
    Zacharias Voulgaris 🐝
    The Role of Imagination in Data Science
    www.foxydatascience.com Contrary to what many people will have you believe, imagination is not just for researchers and PMs, when it comes to data science. Every single aspect of a scientific project has some imagination...
  8. Zacharias Voulgaris 🐝
    Do you feel that there is a paradox in data science, when it comes to the abundance of data scientists out there and the difficulty in getting a decent data science FT position? If you ever wonder why this is, this article would be insightful for you:
    Zacharias Voulgaris 🐝
    The Paradox in Data Science
    www.foxydatascience.com Even though data science is considered to be a “sexy” profession as it has a lot of demand, there seems to be a shortage of “good” data scientists, those few individuals that deliver what...
  9. Zacharias Voulgaris 🐝
    Lately I've been thinking about NLP and how it relates to A.I. Both are very important in Data Science, yet the relationship between the two fields hasn't been properly appreciated. Here is my attempt to remedy that.
    Zacharias Voulgaris 🐝
    Natural Language Processing (NLP) and A.I.
    www.foxydatascience.com Natural Language Processing, or NLP for short, is a very popular Data Science methodology that has gained a lot of traction over the past few years as more and more companies have realized...
  10. Zacharias Voulgaris 🐝
    For those people who are still living under a rock, when it comes to Data Science programming languages: http://www.juliabloggers.com/amazon-web-services-announces-mxnet-is-framework-of-choice-for-deep-learning-using-julia-and-other-languages. It's easy to be skeptical about something new, but when this something new has been adopted by a tech giant's state-of-the-art machine learning platform, then being skeptical about it is a bit silly...
    Zacharias Voulgaris 🐝
    Amazon Web Services Announces MXNet Is “Framework of Choice” for Deep Learning Using Julia and Other Languages | juliabloggers.com
    www.juliabloggers.com Las Vegas, NV – Amazon Web Services announced at this week’s AWS re:Invent 2016 conference that MXNet is the framework of choice for deep learning using Julia and other languages. According to Amazon.com CTO Werner Vogels, “In addition to...
  11. Joyce Redlon

    Joyce Redlon

    Joyce Redlon
    These science superstars just won the 2017 Breakthrough Prize
    techcrunch.com Today at the 5th annual Breakthrough Prize, some of Silicon Valley's biggest names will award more than $25 million to scientific research in...
  12. Zacharias Voulgaris 🐝
    Have you heard of MXNet? If not, here is an article I wrote this afternoon on it: . Enjoy!
    Zacharias Voulgaris 🐝
    MXNet: A Language-agnostic Paradigm for Fringe Data Science
    www.foxydatascience.com I have talked in another post about the new kind of data science that is becoming more and more popular nowadays. Namely, there is a kind of data science that leverages A.I. via a framework known...
  13. Zacharias Voulgaris 🐝
    "So, which language should I use for data science projects?" If you ever had this question, here is a video I made for you! (I didn't come up with the thumbnail image, btw)
    Zacharias Voulgaris 🐝
    Programming Languages for Data Science (Julia, Scala, Python, and R) [Video]
    www.safaribooksonline.com Ever since the birth of the data science field, there has been a constant debate about which language is the best, the one better suited for large-scale data analytics applications ... - Selection from Programming Languages for Data Science (Julia,...
  14. Zacharias Voulgaris 🐝
    Interesting article by Prof. Andrew Ng.
    Zacharias Voulgaris 🐝
    Andrew Ng: What AI Can and Can’t Do
    hbr.org If a task takes you less than one second of thought, a machine can probably do...
  15. Milos Djukic

    Milos Djukic

    "The survey indicated that societies already do well at traditional activities such organizing events and providing opportunities to present research. However, the future success of societies depends on their ability to deliver electronic tools and platforms to enable information sharing, networking and collaboration" beBee will take part in it. cc. @Javier 🐝 beBee, @Juan Imaz, @John White, MBA, @Matt 🐝 Sweetwood, @David B. Grinberg, @Vincenzo De Florio, Ali @Ali Anani.
    Milos Djukic
    How can academic societies continue to be relevant?
    www.elsevier.com We surveyed 2,000 researchers and practitioners about what they want from academic societies; here’s what they told...
  16. Mike Macioci

    Mike Macioci

    Mike Macioci
    What investors need to know about the shift in data science
    venturebeat.com This coming week, the largest big data conference, O’Reilly Strata event, will gather close to 10,000 attendees in one of NYC’s largest conference hall – the Javits Center.  I had the pleasure of presenting at the very first editions of this show,...
  17. Mike Macioci

    Mike Macioci

    Data Science Analyst Job
    Mike Macioci
    Data Science Analyst in New York, United States
    u.rfer.us The Weather Company is the world's largest private weather enterprise, helping people make informed decisions – and take action – in the face of weather. The company offers the most accurate, personalized and actionable weather data and insights to...
  18. Doug Needham

    Doug Needham

    Here is an article I wrote about becoming a data scientist:
    Doug Needham
    The-Data-Guy: Becoming a Data Scientist
    bit.ly Becoming a Data...
  19. Marta Ardizone Marín
    Hi there data friends! If you want a new challenge for the New Year, we're looking for sharp brains! I promise you won't regret it!

    Marta Ardizone Marín
    Data Scientist