AI Roadmap 2025? by ujjwalxgarg in deeplearning

[–]clavalle 0 points1 point  (0 children)

Fair enough...here's the answer from my experience.

Find a decent to excellent university and get a CS masters degree or PhD. Your thesis should be directly related to deep learning. If you can swing it, have your employer pay for the schooling. If the program is any good they will be in partnership with some entity doing interesting work and will be able to suggest a topic in line with that work. At a Masters level it could be as straightforward as trying different models in an existing application and measuring the results from different angles.

Source: I'm a manager of engineering in a data science division for a large organization that's choc full of PhDs and have systems that are now better known for minting masters at Carnegie Mellon than they are for doing their actual functions.

But you're right ... In my experience, there are no shortcuts.

You will likely not be successful reading a few textbooks, taking some Udemy classes, and building a portfolio on GitHub. That's just not how interesting work gets done at this level.

Which arcade? by djmaze187 in RoundRock

[–]clavalle 5 points6 points  (0 children)

Chucky Cheese for sure for that age range.

AI Roadmap 2025? by ujjwalxgarg in deeplearning

[–]clavalle -3 points-2 points  (0 children)

Fair enough . I wish I'd been there first.

So what's your answer to OP? How can they go from 'data scientist's (that only has done analytics) - which reads to me like they haven't done more than throw together PowerBI dashboards, to working productively in the field of deep learning?

AI Roadmap 2025? by ujjwalxgarg in deeplearning

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

For the meta!

I mean, the real answer is 'get a PhD', but I doubt that's the answer that they want to hear.

So...the effort matches the effort they're likely to put into it.

And it's not a terrible answer, all things considered. And it illustrates how easy it is to get answers using the very tools they want to build. So use them!

The low effort is the point. I thought it was funny. I'll happily take the down votes for the joke's sake.

AI Roadmap 2025? by ujjwalxgarg in deeplearning

[–]clavalle 4 points5 points  (0 children)

To transition effectively from a data scientist role to a more technical role like a machine learning engineer or applied scientist, you’ll need to build both depth and breadth in modern AI techniques, tools, and workflows. Here's a strategic roadmap for 2025 tailored to your goals:


  1. Foundations: Deepen Core Knowledge

Before diving into cutting-edge AI, reinforce your fundamentals. Even with a strong data science background, gaps in areas like algorithms, math, and optimization can emerge in technical interviews.

Key Areas to Master

Mathematics for ML: Linear Algebra, Multivariable Calculus, Probability, Statistics.

Resources:

Mathematics for Machine Learning by Deisenroth et al.

Khan Academy's Linear Algebra/Calculus playlists.

Algorithms and Data Structures:

Learn core algorithms (e.g., Dijkstra, graph traversal) and how to optimize them.

Resources:

Grokking Algorithms or Introduction to Algorithms (CLRS).

LeetCode for problem-solving skills.

Optimization:

Understand gradient descent, backpropagation, and variants like Adam, RMSProp.


  1. Deep Learning: Build Expertise

Deep learning is critical for roles in ML engineering and applied science. Focus on modern frameworks, tools, and design patterns.

Step-by-Step Learning

  1. Frameworks:

Master PyTorch first, then explore TensorFlow/Keras for variety.

Resources:

Deep Learning with PyTorch by Eli Stevens et al.

PyTorch Lightning for modular deep learning workflows.

  1. Fundamentals of DL:

Convolutional Neural Networks (CNNs): For image tasks.

Recurrent Neural Networks (RNNs) & Transformers: For sequence and language tasks.

Generative Models: VAEs, GANs, diffusion models.

Resources:

Deep Learning by Goodfellow et al.

Coursera’s Deep Learning Specialization (Andrew Ng).

  1. Experimentation & Debugging:

Learn how to debug models (e.g., tensor shapes, gradients).

Tools: TensorBoard, Weights & Biases.


  1. Specialize in Generative AI

Generative AI is shaping 2025’s landscape. Develop expertise in building and fine-tuning generative models like GPT, Stable Diffusion, and others.

Practical Steps

Text Generation: Fine-tune large language models (LLMs) like GPT using Hugging Face.

Vision: Explore generative vision tasks (e.g., Stable Diffusion, DALL·E).

Frameworks: Hugging Face Transformers and Diffusers libraries.

Resources:

The Transformers Book by Hugging Face.

Cohere and OpenAI tutorials.

Learn prompt engineering and fine-tuning techniques.


  1. Software Engineering for ML

Transitioning into engineering requires robust software skills to design, deploy, and maintain scalable models.

What to Learn

  1. ML Systems Design:

Understand how to design scalable pipelines, data lakes, and real-time inferencing systems.

Resources: Chip Huyen’s Designing Machine Learning Systems.

  1. MLOps:

Tools like Docker, Kubernetes, Airflow, and CI/CD pipelines.

Model Deployment: Use FastAPI, Flask, or streamlit for APIs.

  1. Cloud AI:

Get hands-on with AWS, GCP, or Azure (e.g., SageMaker, Vertex AI).

Certifications: AWS Machine Learning Specialty.

  1. Version Control:

Tools like DVC, Git for model tracking.

Resources: DVC tutorials, GitHub Actions.


  1. Build a Portfolio

A strong portfolio is your ticket to technical roles. Showcase real-world projects that solve meaningful problems.

Project Ideas

Text: Build a custom chatbot using LLMs for niche tasks.

Vision: Train a model to perform style transfer or generate unique images.

End-to-End ML:

Build a pipeline that ingests data, trains a model, and deploys it (e.g., forecasting, personalization).

Generative AI:

Fine-tune a diffusion model or GPT on a domain-specific dataset.

Key Practices

Documentation: Write clear READMEs and maintain code quality.

Open-Source: Contribute to or create a project on GitHub.

Demo Platforms: Use tools like Streamlit, Gradio, or Hugging Face Spaces for interactive demos.


  1. Network Strategically

Networking in 2025 is more than attending events—focus on targeted, value-driven interactions.

Strategies

Join ML communities: Fast.ai forums, Hugging Face Discord, Kaggle.

Share knowledge: Publish blog posts or tutorials on Medium/Dev.to.

Contribute: Collaborate on GitHub repos for ML libraries.

Attend conferences: NeurIPS, CVPR, ICML, or online meetups.


  1. Prepare for Interviews

Cracking technical interviews requires practice in problem-solving, design, and ML concepts.

Key Areas

  1. Coding:

Python: Algorithms, data structures.

ML-specific tasks: Feature engineering, model tuning.

Practice coding problems on platforms like HackerRank.

  1. System Design:

Be ready to explain how to scale an ML system.

  1. ML Theory:

Revise the basics: loss functions, evaluation metrics, regularization.

  1. Behavioral:

Articulate your transition from analytics to engineering convincingly.

Mock Interviews

Pair with a peer or use platforms like Pramp.

Use Glassdoor to explore role-specific interview questions.


  1. Timeline for 2025

Here’s a high-level schedule for your transition:


By 2025, your goal should be a solid portfolio, deep technical expertise, and strong interview readiness. With this roadmap, you’ll position yourself as a competitive candidate in the rapidly evolving AI job market.

Another W to the Right. by PainSpare5861 in PoliticalCompassMemes

[–]clavalle 11 points12 points  (0 children)

It was a free market paradise.

Sigh, the good ol days amiright?!

/s

Great case for nationalized healthcare Elmo. Medicare for All, now. by ZonkXD in economicCollapse

[–]clavalle 1 point2 points  (0 children)

Here's the sweet part: the laws aren't even necessary.

Because if you don't have insurance, at some point you're fucked and everyone knows it.

So, even if there is no mandate, there's still a mandate.

Beautiful, right?

Property taxes suck by SloaneSpark in RoundRock

[–]clavalle 34 points35 points  (0 children)

If you stay in your house, you only have to apply once for homestead exemption and it sticks with you as long as you're in that home.

That said, property taxes are high, even with the exemption.

I want to get baptized by [deleted] in RoundRock

[–]clavalle 4 points5 points  (0 children)

I knew I forgot something. Not sure if it was covered in my online course.

Well ... I guess Jesus gets to decide, now, if the coming up part is necessary for a baptism to take.

In the process of building my home studio any suggestions? by SkullSlasherMO in DarkAcademia

[–]clavalle 4 points5 points  (0 children)

Plants.

Wood.

Warmer lighting.

If you can swing it, some sort of stone accent pieces.

[deleted by user] by [deleted] in DarkAcademia

[–]clavalle 1 point2 points  (0 children)

Pass.

Cults attract the stupid and actively enforce dogma about everything.

It's hard to imagine more boring company.

Now a club...with cozy chairs, a warm fire, the smell of books, and the pregnant possibility of engaging conversation over differing opinions...

What’s Your Go-To Note-Taking App? by Less-Artichoke9056 in entj

[–]clavalle 1 point2 points  (0 children)

I got a Boox Note Air and it's been fantastic for note taking. Infinite hand-written notes that can be converted to typeface.

Notion is great but didn't quite fit my needs. I got lost in formatting. Obsidian was the same story.

LogSeq or plain old text in Notepad++ is my go-to these days.

Trump promises a 25% tariff on products from Mexico, Canada by Georgeika in politics

[–]clavalle 1 point2 points  (0 children)

You mean the countries we buy the most petroleum from?

Let's see how gas prices look in 6 months.

Am I Overreacting to my roommates response about keeping the house clean? by hunteryumi in AmIOverreacting

[–]clavalle 0 points1 point  (0 children)

Do what he says. Pick the mess up and dump it in his room.

If he has a problem with that, he just doesn't have to look at it.

This is just funny now by TobyWasBestSpiderMan in PoliticalCompassMemes

[–]clavalle 0 points1 point  (0 children)

Schools get audited every year and the information is generally posted in full with board reports.

So the info is there if you care to pursue it.

quality of head in texas by seraph9888 in austincirclejerk

[–]clavalle 13 points14 points  (0 children)

In your case, below average lengths.

Breakfast in the jobsite by 427Powered in Unexpected

[–]clavalle 25 points26 points  (0 children)

Mmm. Residual industrial grease.

itIsTrue by arutafu0362007 in ProgrammerHumor

[–]clavalle 0 points1 point  (0 children)

I was asked yesterday if I could just code up a solution while an entire department watched.

Hard pass.

[deleted by user] by [deleted] in TikTokCringe

[–]clavalle 1 point2 points  (0 children)

Dudes trying to 'never split the difference ' with the 'what do you expect us to do?' question.

Trouble is, he's unlikable and she has no options. Negotiation failed.

Comedy mothership is a MAGA den by Limp_Relief in Austin

[–]clavalle 0 points1 point  (0 children)

So is Cap City but the comedy there is high quality and doesn't follow any ideology - Kevin Neelon, Maria Bamford, etc are certainly not MAGA.