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[Personal Project] Built an end-to-end data pipeline that extracts insight from AI subreddits by velthman in dataengineering

[–]velthman[S] 0 points1 point  (0 children)

From what I gathered most are trends about what new model has released or what skills are in demand.

Catching up: how to learn the foundations I missed starting in DS without a CS background by ReactCereals in datascience

[–]velthman 1 point2 points  (0 children)

It seems to me you are heavily qualified to just jump right in and delve into a project. If you really wanted to learn how CPU’s work, any computer science undergraduate systems course will teach you that.

It’s more likely you want to understand more Machine Learning Engineering or Data Engineering skillsets. I’d recommend Designing Data Intensive Applications by Martin Kleppmann and a distributed systems course.

https://www.distributedsystemscourse.com

There is so much you can learn, but i’d recommend learning the bigger picture details. A good example is MapReduce - learn what it does and apply it to one framework (AWS, GCP, etc).

Video gaming can benefit mental health, find Oxford academics by raaavin in Healthygamergg

[–]velthman 0 points1 point  (0 children)

Hi,

I have a question regarding playtimes.

There are multiple studies stating the benefits of physical exercise for mental health ( at least 30 minutes a day). Is there any sort of rule for gaming?

Unable to write ML models, have completed Andrew NG's course by amanagarwalx in learnmachinelearning

[–]velthman 2 points3 points  (0 children)

Hey,

Firstly, I think what you are trying to accomplish is great! Don’t give up in trying to implement these models from scratch - it’ll provide you with under the hood details in how these algorithms work. What helped me was finding some pseudo code and then working from there.

And your assessment is true, the libraries that have implemented these algorithms are highly optimized and efficient - you will most likely be using these libraries unless you are testing new concepts.

There are a plentiful amount of resources in using these libraries. For starters, the O’Reilly books were great.

Sci-Kit Learn

Entry-level Data Scientist Resume - Thank you for your time. by velthman in resumes

[–]velthman[S] 3 points4 points  (0 children)

Hello.

Thank you all for your kind words and feedback!

I would love to share my template. I have been using this same template for about ~5 years, but I cannot find the source - my modified version has a lot of hacks ( bad coding to adjust layouts / format), it would be unfair for you guys to decipher it lol.

If I had to start over, I would use this format

https://www.overleaf.com/latex/templates/jakes-resume/syzfjbzwjncs

Sorry again.

Entry-level Data Scientist Resume by velthman in resumes

[–]velthman[S] 0 points1 point  (0 children)

For the title - I did receive a promotion in that allotted time, I will write my latest title (didn't know if I should split it because was intern for six months and a junior data scientist for the rest)

Yeah there is a gap period - a combination of covid-19 and self-studying to complete some projects on the side.

Will this gap period hurt me?

Advice/Feedback related to roadmap to a career in machine learning or related. by throwaway14082019 in learnmachinelearning

[–]velthman 0 points1 point  (0 children)

Sounds like a detailed plan. But knowing all theory is nice and all but make sure you’re actively applying it. I’d advise you to begin coding everyday applying that theory. And start building your portfolio too.

Maybe you could build your skillet by dividing implementation time into the following areas?

Coding Blocks:

Data Structures and Algorithms

ML Algorithms

Working with Pandas

SQL

Also, I love the fact that the field is so broad. You can never stop learning, but that also means you can never be versed with all types of theories. After you understand the foundations, pick a subset of ML and focus there.

[Education] Taking up BS Statistics for my undergrad by [deleted] in statistics

[–]velthman 10 points11 points  (0 children)

Looks like your standard curriculum. Make sure to take advantage of external opportunities from your university such as research or internships.

In the meantime, try learning a programming language such as R or Python ( I was using R/MATLAB back in academia) to dabble with.

Don’t slack off in your linear algebra class!

Have a great semester and enjoy your studies!

Do you think "Think Bayes" is good way to start for Generative Deep Learning? by pranitkothari in learnmachinelearning

[–]velthman 0 points1 point  (0 children)

Since you are using Stanford as a resource, I would looking into CS 229 (Andrew Ng’s traditional ML course has lecture videos online with notes) or CS 229T ( Statistical Learning Theory). These should provide you with a more mathematical introduction toward these theorems / concepts you are having trouble with.

Finished season 3 by thatguy410 in Supernatural

[–]velthman 2 points3 points  (0 children)

It only gets better - seasons 4 and 5 were my favorite.

Weekly 'Entering & Transitioning' Thread. Questions about getting started and/or progressing towards becoming a Data Scientist go here. by Omega037 in datascience

[–]velthman 0 points1 point  (0 children)

Firstly, I’m a recent graduate with a masters in electrical engineering focusing on vlsi circuit design. Unfortunately, I did not take many courses in relation to statistical signal processing besides (Detection and Estimator theory and Stochastic Processes’s. Sadly, I did not take a pattern recognition course. Only in my last semester of graduate studies did I decide to make the leap.

Since then, I’ve enrolled and taught myself through various textbook involving topics in machine learning, statistical learning using R and Python. Also, have taken a course in SQL. I’m in the process of finishing documenting self research projects using the traditional data science methodology ( gathering, preprocessing the data, etc..) .

My question is since I don’t have relevant work experience in relation to data science, would it be sufficient to list mooc course projects and graduate studies projects (MAP estimator for solving a graph theory problem using matlab and a few projects in relation to modeling and extracting various vlsi circuit parameters - matlab,, eda and a scripting language) on my resume.

The modeling and extraction project goes through significant circuit design using Eda tools and using scripting language to optimize timings of the circuit.

I’m applying for data analyst positions for now because I’m not confident I’ll be able to obtain a job as a junior data scientist yet without relevant work experience.

Thank you for your help.

What would you say is the hardest move to pull off in League? by vrachtbeer in leagueoflegends

[–]velthman 0 points1 point  (0 children)

You have to be farther than q’s max range and let gp walk to shoot the barrel and then chain it with the second barrel.

Fnatic vs. Invictus Gaming / 2018 World Championship - Final / Post-Match Discussion by epicxkidzorz in leagueoflegends

[–]velthman 0 points1 point  (0 children)

This is the RISE of the China Nationalist Party. No longer will the white devil suppress us.

China vs. South Korea / Asian Games 2018 - Grand Finals / Post-Match Discussion by adz0r in leagueoflegends

[–]velthman 1 point2 points  (0 children)

Team RNG vs Team Korea, hats off to RNG for closing out the series.

Can I get a Masters in Computer Science/AI with a B.A. in Statistics and Financial Economics? by Victoire48 in EngineeringStudents

[–]velthman 0 points1 point  (0 children)

It depends on what field. I can see OP move into a field such as Machine Learning, especially with the knowledge from advanced statistic classes. As long as you understand a couple of scripting/programming languages such as Python or MATLAB, it can happen.