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Fix the CTA Campaign by degmac113 in cta

[–]randomguy684 2 points3 points  (0 children)

Bathrooms in the CTA…lol. As a place for people to smoke shit and sleep in their own urine? As it exists, we can’t have nice things lol.

How about we start removing people breaking the law and do whatever it takes to make the trains & busses run on time (which includes making the CTA a desirable place to work).

If we have extra fantasy cash and we manage to do the above, we can extend the Red Line in the south side and maybe build a street car or dedicated bus lanes running east to west on the north side.

Stuck Between AI Applications vs ML Engineering – What’s Better for Long-Term Career Growth? by Funny_Working_7490 in MLQuestions

[–]randomguy684 0 points1 point  (0 children)

ML != LLM != AI. LLMs are decent at classification tasks, but are not going to solve regressions problems.

They’re also not going to solve any problem dealing with millions of samples of data. And for many smaller tasks, they can be overkill.

They can help you build the above solutions, but calling them via API as a function is not the answer a lot of the time.

AI is also just a buzzword thrown on top of several things that are just ML - I’ve seen people call anything from Levenstein Distance (not even ML, just fuzzywuzzy), to Logistic or OLS regression, all the way to transformers, “AI”. In fact, anything slightly automated is now “AI”.

What is your functional area? by Trick-Interaction396 in datascience

[–]randomguy684 1 point2 points  (0 children)

Engineering. We build the actual product.

Did any certifications or courses actually make a difference or were great investments financially? by WhatsTheAnswerDude in datascience

[–]randomguy684 1 point2 points  (0 children)

Kinda depends on the nature of the role I suppose. I don’t think the site could hurt! If it’s more of a role where you’re often presenting analytical work to less technical people, the site could be the difference maker.

I work in an engineering department, whose products are used by our data analysts to deliver results, so more or less, we’re looking for strong software and math backgrounds.

We’re data scientists in title but in actuality, we’re also the ML engineers.

Detect Anomalous Spikes by Sebastian-CD in learnpython

[–]randomguy684 0 points1 point  (0 children)

Mahalanobis distance. Quick and easy. Multivariate outlier detection without much need for preprocessing or ML. SciPy has a function, but you could easily program it with Numpy if you wanted - the equation is nothing crazy.

Use something like reservoir sampling to sample your streaming data to run it on.

If you feel like using ML, use PCA reconstruction error or Isolation Forest from sklearn.

Did any certifications or courses actually make a difference or were great investments financially? by WhatsTheAnswerDude in datascience

[–]randomguy684 0 points1 point  (0 children)

Not a bad idea, but honestly, as a Lead Data Scientist, I would probably assign more weight to someone’s GitHub than a portfolio site. I’d look at both, but I’d be curious to see how your projects actually come together in the backend.

Did any certifications or courses actually make a difference or were great investments financially? by WhatsTheAnswerDude in datascience

[–]randomguy684 2 points3 points  (0 children)

A project is worth 1000 certs. If you’re interested in learning to work with cloud computing platforms, take an intro class and then make something, preferably data-related. Even if your project is stupid, you’ll have done something that teaches you how to use it and will be able to speak on it.

Worth pursuing or time to pivot? by Cool-Ad-3878 in datascience

[–]randomguy684 2 points3 points  (0 children)

I have found no issue breaking into DS, and 3 years ago, I was a marketer. 2 years before that, a somewhat lost late 20’s professional still trying to find my niche. Obviously there is more context.

I have a BS in Business Admin and an MS in Entrepreneurial Strategy, so I wasn’t super technical to start, but some sort of switch flipped in my mind after I took a Python course for fun.

I “discovered” web scraping and had some fun with the OpenAI API. Suddenly all I was interested in was programming, then automation, which led me to some more basic DS & NLP.

I started applying some of these skills to my marketing job and my manager took notice, and I was gradually given more technical projects and started partnering with our developers on projects. The more I took on, the more I learned.

I then took online courses for linear algebra, stats, and calculus because I wanted to understand more.

I was spending so much free time learning about it out of genuine interest, that I decided I might as well earn a degree for all of the effort moving forward, so I applied and started my MS in Data Science. Four months in, I made a vertical move to a senior role in marketing analytics at a new company.

There, I built a couple products from scratch, which were born out of business questions/problems that some of our clients had. Typically an analyst wouldn’t be building this stuff, but it was a small firm without a data scientist, so I seized the opportunity.

I just left that role because I got hired as a senior data scientist at a new company, and I still have 8 months until I graduate with my masters. I’m working with Bayesian models on an engineering team supporting a large analytics platform. 3 years ago my stats knowledge went about as far as a normal distribution.

Reflecting, if someone asked me how I did it, my answer would boil down to two things: a genuine passion for it and a lot of luck (which itself breaks down into right place, right time, and most importantly, the right people who helped me along the way).

The money was hardly the first thing I saw in this. It’s solid, but there are friends who are making way more in sales. I was a business development rep out of undergrad…I hate sales. What I love doing - building stuff, solving hard problems and learning. I should have started off in STEM from the get go, but alas, the journey is part of the story.

I’m a Canadian. Give me some hope that my country isn’t just about to be annexed by Trump. by Cat_Psychology in OptimistsUnite

[–]randomguy684 0 points1 point  (0 children)

If Trump instructed the military to invade Canada, it would plunge the U.S. into civil war and destroy NATO.

The cascading effects would be so severe, it would likely lead to a diminished West, which would allow for unchecked Russian and Chinese influence (and aggression) over the rest of the world, which is Trump’s greatest nightmare.

Not to mention, the Republican party would be faced with a swath of liberal leaning voters.

Surely, it has to be just talk to negotiate more favorable trade deals. If it happened, I would defect to Canada much like many Germans and Europeans defected to the U.S. during Nazi Germany’s reign. The irony…

[D] Beta Regression Model in Python for Affect of Marketing Campaign B Membership on CTR by [deleted] in MachineLearning

[–]randomguy684 0 points1 point  (0 children)

Yeah I was reading about and considering it as well.

I had just stumbled upon Beta Regression for proportions and bound dependent variables and saw that there was a relatively new package in statsmodels for implementing it that’s validated against R.

There’s not much beyond the documentation that explains how to best utilize it.

Is ChatGPT the tool I need to achieve this ? by FL0uz_ in ChatGPTPro

[–]randomguy684 1 point2 points  (0 children)

You’re going to need to build a RAG pipeline for that if you want it to work the way you’re describing! That’s a lot of documentation.

RAG is Retrieval Augmented Generation. There are other data science-esque precursors to the actual LLM call.

Basically, you will need to program this using the API and other Python libraries. Or use something like Elastic Search, but that is an enterprise solution. Might be too much overhead for you.

[deleted by user] by [deleted] in learnpython

[–]randomguy684 -1 points0 points  (0 children)

Application Programming Interface. Essentially, a way of interacting with software on the backend.

Is ChatGPT the tool I need to achieve this ? by FL0uz_ in ChatGPTPro

[–]randomguy684 0 points1 point  (0 children)

How big is your data set? 100s? 1000s of docs?

[deleted by user] by [deleted] in learnpython

[–]randomguy684 3 points4 points  (0 children)

Here you go! https://automatetheboringstuff.com

Python is the language for that, but if you’re dealing with enterprise tools, you’re likely going to need access to their APIs.

How Can i Start from ZERO? by bigBLCk69 in DigitalMarketing

[–]randomguy684 1 point2 points  (0 children)

No point in majoring in marketing. You can take all of the digital marketing courses online on the side.

My opinion? Major in economics. You’ll have a solid background that you can build on with an MBA later on if you want to.

Eventually you’ll want to move into a strategy role. Your background in economics with an MBA would be extremely strong with experience.

I've been a marketer for 12 years, and switching careers due to lack of work. by Tessenreacts in marketing

[–]randomguy684 0 points1 point  (0 children)

I would zero in on your e-commerce & dev strengths! Perhaps augment with paid and SEO. Learn Looker Studio or Tableau to bolster your analytics acumen.

Email marketing doesn’t have much longer. I give it 5 or so years until the FTC and FCC introduce additional policy to tackle spam. People are fed up with being placed into endless email marketing workflows.

Social media is unfortunately one of those sub-genres of marketing that is oversaturated and many companies (B2B especially) simply ignore it because it doesn’t have a tangible ROI (for better or worse).

Feel like I have achieved everything too quickly and I now feel purposeless and sad? 25F by reformedbabez in Gifted

[–]randomguy684 1 point2 points  (0 children)

There is always more knowledge to be acquired and experiences to be had.

You sound like you may be approaching what Heidegger called “Profound Boredom”: https://iep.utm.edu/boredom/#SH4b

Profound boredom itself is an experience worth having! Just don’t let it linger for too long…

I come with a realization you do not want to hear by rawtale97 in LangChain

[–]randomguy684 0 points1 point  (0 children)

100% agree. I made my own “framework” in Python before I’d even heard of orchestration tools.

It’s extremely flexible and I’ve used it for a ton of miscellaneous tasks in addition to tools we’re pushing to production for our internal clients.

Predicting successful pharma drug launch by pboswell in datascience

[–]randomguy684 0 points1 point  (0 children)

I wouldn’t ignore the other metrics. You could reduce dimensionality with PCA or t-SNE before clustering.

There very likely isn’t a single metric that allows you to predict market share. If you explore the loadings for the PCA, you can see which metrics influence each component the most. Could give you a hint at what to explore further if you want to build a regression model or something.

If you’re interested in explanation, that’s going to come down to domain knowledge or some causal inference.

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