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Articles related to "engineer"


The Absolute Beginner’s Guide To Learning Data Science and ML from Scratch.

  • In an article I wrote a while ago, The self-learning path to becoming a data scientist, AI or ML engineer, I outlined a clear learning path and recommended some well-curated free and accessible resources that can assist anyone who seeks to learn data science, AI and ML engineer on their own, absolutely without any costs whatsoever.
  • To desist from rewriting everything I wrote in that article, I’m just going to give an outline of the learning path here in this story but I strongly advise that you spare a couple of minutes to go through that article for a more detailed discussion on how you can take on self-learning as a method of learning to become a data scientist, AI or ML engineer.
  • Notitia AI is a good platform for being trained from beginner to expert level in Data Science, Data Analytics, Artificial Intelligence and Machine Learning where you will be assigned a personal Mentor who will personally and professionally contribute to your growth in the chosen field.

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The Absolute Beginner’s Guide To Learning Data Science and ML from Scratch.

  • In an article I wrote a while ago, The self-learning path to becoming a data scientist, AI or ML engineer, I outlined a clear learning path and recommended some well-curated free and accessible resources that can assist anyone who seeks to learn data science, AI and ML engineer on their own, absolutely without any costs whatsoever.
  • To desist from rewriting everything I wrote in that article, I’m just going to give an outline of the learning path here in this story but I strongly advise that you spare a couple of minutes to go through that article for a more detailed discussion on how you can take on self-learning as a method of learning to become a data scientist, AI or ML engineer.
  • Notitia AI is a good platform for being trained from beginner to expert level in Data Science, Data Analytics, Artificial Intelligence and Machine Learning where you will be assigned a personal Mentor who will personally and professionally contribute to your growth in the chosen field.

save | comments | report | share on


The Absolute Beginner’s Guide To Learning Data Science and ML from Scratch.

  • In an article I wrote a while ago, The self-learning path to becoming a data scientist, AI or ML engineer, I outlined a clear learning path and recommended some well-curated free and accessible resources that can assist anyone who seeks to learn data science, AI and ML engineer on their own, absolutely without any costs whatsoever.
  • To desist from rewriting everything I wrote in that article, I’m just going to give an outline of the learning path here in this story but I strongly advise that you spare a couple of minutes to go through that article for a more detailed discussion on how you can take on self-learning as a method of learning to become a data scientist, AI or ML engineer.
  • Notitia AI is a good platform for being trained from beginner to expert level in Data Science, Data Analytics, Artificial Intelligence and Machine Learning where you will be assigned a personal Mentor who will personally and professionally contribute to your growth in the chosen field.

save | comments | report | share on


The Absolute Beginner’s Guide To Learning Data Science and ML from Scratch.

  • In an article I wrote a while ago, The self-learning path to becoming a data scientist, AI or ML engineer, I outlined a clear learning path and recommended some well-curated free and accessible resources that can assist anyone who seeks to learn data science, AI and ML engineer on their own, absolutely without any costs whatsoever.
  • To desist from rewriting everything I wrote in that article, I’m just going to give an outline of the learning path here in this story but I strongly advise that you spare a couple of minutes to go through that article for a more detailed discussion on how you can take on self-learning as a method of learning to become a data scientist, AI or ML engineer.
  • Notitia AI is a good platform for being trained from beginner to expert level in Data Science, Data Analytics, Artificial Intelligence and Machine Learning where you will be assigned a personal Mentor who will personally and professionally contribute to your growth in the chosen field.

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Senior Software Engineer

  • Dover is the modern recruiting department for the world's top companies.
  • We combine domain expertise with best-in-class automation to help companies hire the best talent for their open roles.
  • Recruiters spend countless hours on administrative work, so they have less time to do what they do best: pitch and close candidates.
  • You're a full stack, frontend, or backend engineer with 3+ years of software experience at one or more companies with a strong engineering culture.
  • We are currently hiring in San Francisco, but will make exceptions for particularly strong candidates.
  • At Dover, we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
  • At Dover, we think benefits should empower you to be your best, both in and outside of work.

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What can a pipe wrench teach us about software engineering?

  • What can a pipe wrench teach us about software engineering?
  • Bush would greet an auditorium filled with aspiring engineers, hold up a pipe wrench, and challenge them: "Describe this".
  • Bush MIT students were electrical engineers, but precision is something software engineers should learn, too.
  • Precision is fundamental when representing building a model for the domain of the software in code.
  • One way in which a domain representation can be vague is when it allows inconsistent state to occur.
  • If you work in a language with a strong type system, like Swift, you can use precise types to make your domain modeling clearer and make undesirable state unrepresentable.
  • NonEmpty<OrderedSet<UInt>> requires more work but using it will make the compiler help you avoid inconsistent state.
  • What are your favorite ways to use the type-system to implement a precise domain model?

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78 days, and still no broadband (Sky/Openreach, UK)

  • Closer to the day of completion Sky's 'order recovery team' notified us that everything was back on track, and that we were even still going to get connected on the original date (a week after completion); the term they used was 'Openreach have committed to the date' - something Sky later denied ever saying.
  • Next on the 24th of September Sky advised us in a pair of emails in the early hours of the morning (delivered 7 seconds apart) that they had failed to reach us multiple times in regards to the complaint we had opened many weeks ago (no missed calls at our end) and that per policy the complaint would be closed in 28 days; the second message advised us the complaint had now been closed.

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Now may be the best time to become a full-stack developer

  • In the world of software development, one term you’re sure to hear a lot of is full-stack development.
  • Full-stack developers are jacks of all trades as they work with the design aspect of software the client interacts with as well as the coding and structuring of the server end.
  • In a time when technological requirements are rapidly evolving and companies may not be able to afford a full team of developers, software developers that know both the front end and back end are essential.
  • This matches up with the expectations of new hires as well, as you’ll notice a lot of openings for full-stack developer jobs require specialization in more than one back-end program.
  • Getting into full-stack though means you should concentrate on finding your niche within the particular front-end and back-end programs you want to work with.

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I've been an engineer and a recruiter. Hiring is broken. Here's why... and what it should be like instead. - Aline Lerner's Blog

  • Or, another way to put it … if I’m a good engineer, it should be easy for me to talk to a hiring manager at a company I might be interested in, at a time of my choosing.
  • Unfortunately, when you look at an actual typical funnel, you’ll see that despite attempts to gate the top with recruiters filtering resumes and making intro calls, it’s not really working.
  • If you do the math and look at how many hours are spent — not per candidate but per hire (more useful because hires are ultimately what we want) — you’ll see that despite attempts to save eng time, recruiters spend roughly 15 hours a hire 2 and engineers spend about 40.
  • And so we end up with a paradox: in the midst of a talent shortage, companies ignore the candidates who apply to them and pay recruiters without domain expertise to chase the same ten engineers with the same credentials.

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