Sign Up Now!

Sign up and get personalized intelligence briefing delivered daily.


Sign Up

Articles related to "skill"


Deep Walk: The overlooked lovechild of NLP and graph data structures

  • X words are seen at a time (in the window), one target word and (typically) 5 context words from the immediately surrounding context (duh.) A neural network simply learns to answer the question, “is a word in (in the current window) a context word of the target word?” So a word like “dog” might have frequent context words such as “walk” and “pet.” Likewise, the word “cat” might have semi-similar context words (perhaps not including walk — I can’t name anyone who walks their cat.) We’re able to quantify the similarity between any two words by how frequently they share (or don’t share) the same contexts.
  • With a little data preprocessing, we can borrow a page from recommender systems (though I will demonstrate that this is less effective than Deep Walk approach.) We simply create a “one-hot” encoding for each skill-job association, described by a 1 if a skill is required by a job (or 0 if it is not) in a job-skill matrix.
  • A simple function that I wrote finds nodes of the correct category, (jobs or skills) given a cosine similarity minimum threshold and maximum count threshold.

save | comments | report | share on


My Favourite Data Science Interview Question

  • Where Software Engineering is the foundation, and all others are pillars.
  • As we need such a broad skillset it’s difficult to cover all pillars in depth in an interview process.
  • The purpose of an interview question is to reveal a candidates aptitude for a job.
  • The interviewer needs to dissect a candidates personality and approach to work.
  • A good question should reveal skill in the above pillars.
  • The industry seems divided on the necessity of Software Engineering and DataOps in their Data Scientists.
  • A Data Scientist can’t deliver value in a silo without a software engineer to bring their ideas to fruition.
  • This question will showcase an individual's maturity as a software engineer.
  • It is a bonus if they already know the skills we need.
  • If they don’t already know these skills, then they need to have the right mindset to be open and improve.

save | comments | report | share on


My Favourite Data Science Interview Question

  • Where Software Engineering is the foundation, and all others are pillars.
  • As we need such a broad skillset it’s difficult to cover all pillars in depth in an interview process.
  • The purpose of an interview question is to reveal a candidates aptitude for a job.
  • The interviewer needs to dissect a candidates personality and approach to work.
  • A good question should reveal skill in the above pillars.
  • The industry seems divided on the necessity of Software Engineering and DataOps in their Data Scientists.
  • A Data Scientist can’t deliver value in a silo without a software engineer to bring their ideas to fruition.
  • This question will showcase an individual's maturity as a software engineer.
  • It is a bonus if they already know the skills we need.
  • If they don’t already know these skills, then they need to have the right mindset to be open and improve.

save | comments | report | share on


The Data Scientists I’ve met

  • The industry has unrealistic expectations for Machine Learning in their business.
  • As the Data Scientist, you are taking on a business transformation role.
  • Self-Learning is essential in software engineering and the same applies to data roles.
  • Data Science and Machine Learning are exciting to you and your company if you could figure out where it fits.
  • You have a PhD, your team has PhDs, and you prefer to hire people with PhDs. Your core product is data-based or has high potential from Machine Learning.
  • Your company tried to hire a rock star capable of all aspects of Data Science.
  • The following skills to be essential to a Data Science team (I say the team and not individual).
  • I do not expect any single Data Scientist to have all these skills, but if you do well done!

save | comments | report | share on


The Data Scientists I’ve met

  • The industry has unrealistic expectations for Machine Learning in their business.
  • As the Data Scientist, you are taking on a business transformation role.
  • Self-Learning is essential in software engineering and the same applies to data roles.
  • Data Science and Machine Learning are exciting to you and your company if you could figure out where it fits.
  • You have a PhD, your team has PhDs, and you prefer to hire people with PhDs. Your core product is data-based or has high potential from Machine Learning.
  • Your company tried to hire a rock star capable of all aspects of Data Science.
  • The following skills to be essential to a Data Science team (I say the team and not individual).
  • I do not expect any single Data Scientist to have all these skills, but if you do well done!

save | comments | report | share on


The Data Scientists I’ve met

  • The industry has unrealistic expectations for Machine Learning in their business.
  • As the Data Scientist, you are taking on a business transformation role.
  • Self-Learning is essential in software engineering and the same applies to data roles.
  • Data Science and Machine Learning are exciting to you and your company if you could figure out where it fits.
  • You have a PhD, your team has PhDs, and you prefer to hire people with PhDs. Your core product is data-based or has high potential from Machine Learning.
  • Your company tried to hire a rock star capable of all aspects of Data Science.
  • The following skills to be essential to a Data Science team (I say the team and not individual).
  • I do not expect any single Data Scientist to have all these skills, but if you do well done!

save | comments | report | share on


Premium Experiences Now Available for Kid Skills in the US

  • ISP for kid skills is supported by new tools powered by Alexa, including APIs to help you create premium kid skills, as well as purchase controls that help account holders manage them.
  • Using the Alexa app, parents can enable and disable voice purchasing in kid skills, and can also choose whether they would like to approve each purchase individually.
  • By default, when a user is offered premium content in a kid skill and agrees to purchase, the account holder will receive an SMS or email requesting they approve or decline the transaction within 24 hours.
  • Account holders who want to allow purchases to be made in kid skills but do not wish to receive these approval requests can disable them in the Alexa app, allowing purchases to be made in kid skills without the request for approval.

save | comments | report | share on


New Alexa Skills Training Course: How to Build a Multimodal Skill

  • Enhance Your Voice Experience with New Modalities When you build a multimodal Alexa skill, you combine voice, touch, text, images, animation, audio, and video in a single experience.
  • Course Components The course will introduce the important concepts of multimodal skill design: Why Build Multimodal Alexa Skills Build Your First Visuals with the APL Authoring Tool Modify Your Backend to Add LaunchRequest Visuals Create More Visuals with Less Add Animation and Video Control Wrapping Up & Resources  Each part includes step-by-step instructions so you can easily apply the course material to your skill.
  • More Training Opportunities to Enhance Your Skills Once you have completed the Cake Walk series, continue to learn with these additional training materials: Alexa Design Guide: Learn the principles of situational voice design so that you can create voice-first skills that are natural and customer-centric.

save | comments | report | share on


Is a trillion-dollars worth of programming lying on the ground?

  • At any rate, I think that PISA is a test for more high-level reasoning skills coupled with things like conscientiousness and overall education level.
  • Caveats apply here, but I think it's a roughly accepted hypothesis that both status and pay is high in Eastern Europe for people working in the field compared to many other fields of intellectual labor.
  • One thing that I am curious about if PISA average 2000 to 2012 (our proxy for intelligence and education) the EPI (our proxy for language skills) will have good predictive power for per-country salary when put together.
  • I think this is a good way of figuring out if EPI and PISA are just looking at the same thing (intelligence + education) from different angles, or if together they form a very powerful polycausal predictive model and explain our quandary.

save | comments | report | share on


10 Things I Wish I Knew About Learning Data Science

  • It should be noted that the 10 things that I wish I knew about learning data science is based on my personal journey as a self-taught data scientist.
  • Then from this bucket list of data science concepts/skills, focus on learning just 1 new thing a day.
  • As you learn new concepts or skills (i.e. from visual and auditory), you can reinforce what you have learned by immediately applying that newfound knowledge to your data science project (i.e. to do).
  • Late last year, I released a YouTube video Strategies for Learning Data Science in 2020 where I share some of the practical tips and tricks to get started in your data science journey.
  • Additionally, he also shares his tips in his YouTube video How I Would Learn Data Science (If I Had to Start Over).

save | comments | report | share on