Brian Roepke @broepke
Data Science, Engineering, and Analytics leader and also share a few tips and tricks of my own at a https://t.co/zzReZy3X34. dataknowsall.com Minneapolis, MN Joined August 2007-
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The first time I heard about Groq, I dismissed it. But this team is legit! Their performance for LLM Inference is unbelievable! LPUs, or Language Processing Units, are a new type of chip architecture that happens to be the perfect use case for it! hubs.ly/Q02ny3bz0
This is such an important rule for building a high-performance team. Performance Vs. Trust by @simonsinek hubs.ly/Q02ntKC20
We did it. #TwinsWin! #WeBelieveinTC
A penny doubled each day for a month: day 1: $0.01 day 2: $0.02 day 3: $0.04 day 4: $0.08 day 5: $0.16 day 6: $0.32 day 7: $0.64 day 8: $1.28 day 9: $2.56 day 10: $5.12 day 11: $10.24 day 12: $20.48 day 13: $40.96 day 14: $81.92 day 15: $163.84 day 16: $327.68 day 17: $655.36…
A few of my favorite frameworks, borrowed from my days as a product manager, assist me in my day-to-day analytics and data science projects. Additionally, always consider your data projects as products! dataknowsall.com/frameworks.html
Always evaluate your model's performance using multiple metrics. Don't just rely on accuracy! #MachineLearningMistakes dataknowsall.com/modeleval.html
Data science tip: brushing up on your SQL skills is essential if you want to be effective at analyzing and manipulating large datasets. It might not be as 'sexy' as machine learning algorithms or visualizations, but it'll save you time and headaches.
As a Product Manager, I learned the most important rule of building something great: Launch early and often. Collect feedback, iterate, and repeat until you've nailed it. For more on this approach, check out dataknowsall.com/lean.html.
Don't waste time developing features nobody wants. Data Scientists and Analysts can use Product Managers' tools to prioritize requirements. Focusing on the features that bring real value when resources are limited is crucial. Check out dataknowsall.com/prioritization… for more info.
"With limited resources and time, it’s important to focus on the features and requirements that will bring the most value to your customers." @broepke outlines five techniques for prioritizing features and requirements. buff.ly/3Geq8lP
"Best practices" can feel like a hollow term at times. Our new roundup dives into the nitty-gritty of data science workflows and how to streamline them, with contributions by @vickdata, Aruna Pisharody, @erykml1, Susan Maina, @KhuyenTran16, and @broepke. buff.ly/3mDeOsP
Each of these are on my short list with “Buy a Feature” probably my favorite!
Each of these are on my short list with “Buy a Feature” probably my favorite!
It’s incredible how portable product management skills are. If you are creating any kind of “product” or delivering a project, you can leverage what PMs know!
It’s incredible how portable product management skills are. If you are creating any kind of “product” or delivering a project, you can leverage what PMs know!
One of my most favorite and memorable posts from the internet. The Struggle | Andreessen Horowitz a16z.com/2012/06/15/the…
Great advice for anyone, in any field.
Five Powerful Prioritization Techniques from Product Management by @broepke buff.ly/3Geq8lP
Pandas 2.0 is here! This is the biggest overhaul of Pandas since its inception, and it has been years in the making. However, you will probably not notice too many changes, and all your existing Pandas code will most likely run the same as before. All the major changes are under…
OpenAI just released Plugins for ChatGPT! Zapier and Wolfram look super interesting! The first plugins have been created by Expedia, FiscalNote, Instacart, KAYAK, Klarna, Milo, OpenTable, Shopify, Slack, Speak, Wolfram, and Zapier. openai.com/blog/chatgpt-p…
It seems like there is a Python 🐍 interface for any API you could imagine. If you want to amp up your career, regardless of your field. Learn Python. 🐍 🧑🏻💻 ♾️
Some things that set @SnowflakeDB apart from the rest are capabilities like Snowpark. Or the ability to build native Python-based data pipelines within the platform. Check out this awesome tutorial to get started: quickstarts.snowflake.com/guide/data_eng…
Andrew Anagnost 🇺�.. @andrew_anagnost
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3K Followers 826 Following Veteran, wrestling coach, sports fanatic, husband, and father of three amazing kids.#AutodeskCommunity @ADSKCommunity
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5K Followers 608 Following Autodesk UK Industry Marketing Manager PDMC https://t.co/HpVbv20krg (all opinions are my own) #ADSK #ADSKInventor @ADSK_InventorJaime 📷 @AfroJme
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95% of Machine Learning solutions in the real world are for tabular data. Not LLMs, not transformers, not agents, not fancy stuff. Learning to do feature engineering and build tree-based models will open a ton of opportunities.
First ever post made just by thinking, using the @Neuralnk Telepathy device!
I still remember when people thought that "Prompt Engineering" was going to become a real career.
I have a meeting TODAY to discuss the possibility of doing Employee of the Month 2 (essentially) with my friends at Lionsgate. Throw a LIKE if you, well, like this idea. RT it.. heart it.. share it.. I can show the powers that be how much people love this IP and would like to see…
For the last few days, I've been working with TypeScript and React. It's now crystal clear to me why Python is so popular.
The Hello World of Machine Learning: Here are 4 simple problems I'd recommend if you want to learn from the beginning. 1. They are simple. Perfect when you are starting. 2. They represent some of the main pillars of machine learning. 3. Thousands of people have solved them…
Some great news in the world of open source machine learning: @nvidia has joined the scikit-learn Consortium! scikit-learn has for many years been the bedrock library for ML work, and their API is the gold standard for the ease of use, stability, and breadth of adoption. NVIDIA’s…
My goal is to never interview for a job ever again. I've had 4 different jobs since 2008. Never interviewed for a single one of them. My advice? Build your network.