Kristen Kehrer

I actually went through each of the 68 computer vision tutorials in keras to understand the common loss functions that were being used to solve the different problems. Learned a lot, hope it helps someone :) datamovesme.com/2022/08/03/an-…

In "Susie’s School Bus Solution", young readers will join Susie and her mom as they learn about the fascinating world of artificial intelligence #AI and computer vision. Get the book for a young person in your life, or for yourself: amzn.to/43oma64 by @DataMovesHer

Thrilled to announce Express, a conversational data engineering platform, powered by agents, that makes working with data as simple as describing what you need. The biggest blocker to AI adoption isn’t the models - it’s the complex, time-consuming process of preparing and integrating data from hundreds of systems. Express solves that! Describe what you need in natural language. Express figures out where the data lives, connects to it, transforms it, and prepares it for use. No coding required. Production-ready in minutes. The teams that move fastest with AI will be the ones who can unlock their data fastest. Now, anyone can, with Express. Try it today → express.dev

In "Susie’s School Bus Solution", young readers will join Susie and her mom as they learn about the fascinating world of artificial intelligence #AI and computer vision. Get the book for a young person in your life, or for yourself: amzn.to/43oma64 by @DataMovesHer

@KirkDBorne Amazing! Thanks for tagging me. My next children’s book is actually about time series analysis. Hope you’re doing awesome ❤️

@DataMovesHer See this… tradersunion.com/news/market-vo…

People are always asking what it looks like to go end-to-end algo trading with Python. This covers the pipeline and some of the tools. datamovesme.com/blog/the-momen…

From notebooks to production backtests in algo trading: momentum+value in Python (data→features→MLflow→Prefect→IBKR). datamovesme.com/blog/the-momen… #DataScience #Backtesting #Python

One of the most beautiful and unique things of being a software developer: The more code you write, the more bugs you’ll have to fix in the future. The more time you spend working, the longer they’ll need you. Self-generating demand. It’s amazing.

How to make a simple algorithmic trading strategy with a 472% return using Python. A thread. 🧵

@svpino Is that even possible? A number of times LLMs have sent me in circles until I dig in myself. It’s still useful and helps me move faster, but other than something really simple, I still find myself on stack overflow or on a repo somewhere.

Vibe-coding is not “fixable” by looking at the code AI writes and improving it. That’s called “software development”. Vibe-coding is precisely about not having to deal with the code at all. Vibe-coding is prompting your way to a fully working solution.

🚨BREAKING: A new Python library for algorithmic trading. Introducing TensorTrade: An open-source Python framework for trading using Reinforcement Learning (AI)

@samuel_wong_ @DS_Jessica_ Love the idea. I think a word other than “arguments” will likely get farther for adoption..

Stop Teaching "Data Storytelling" - Teach Business Arguments Instead One AI prompt generates unlimited realistic scenarios that eliminate "storytelling" resistance and teach communication skills fast teachdatawithai.substack.com/p/stop-teachin…

Backtesting a trading strategy is one giant experiment. Yet most traders throw away their experiment history. I started using MLflow (yes, the ML tool) to track my non-ML backtests, and it’s a game changer for iteration speed + insights. Here’s how: datamovesme.com/blog/why-you-s…

But you’re able to iterate faster than ever before. (Although do lookout for ending up in some never ending loop where you’re getting dumb recommendations and you need to actually dig in yourself, that does happen). But go that last mile, it’s a much more impressive portfolio.

With the ability to share screenshots with ChatGPT, you’re able to tell the LLM “hey, you told me to find some button I don’t see, here’s a screenshot, where’s that button”, and ChatGPT may say “I made a mistake, there’s no button, do this instead”.

When thinking about your portfolio projects, think about actually putting something in production. Pay the couple dollars a month, and you can always cancel later.

@KirkDBorne Thank you so much for sharing!

In "Susie’s School Bus Solution", young readers will join Susie and her mom as they learn about the fascinating world of artificial intelligence #AI and computer vision. Get the book for a young person in your life, or for yourself: amzn.to/43oma64 by @DataMovesHer

"Susie's School Bus Solution" just launched! I had built a computer vision system to detect the school bus and send a text. I finally turned the process of building this into a children's book. a.co/d/33iGr28 #computervision #machinelearning #python #datascience

Listen to the full episode with Nick Singh now: mavenanalytics.io/mavens-of-data… What's your biggest takeaway from Nick's advice?

Don't assume - ask smart questions. Clarify the context of interview questions, especially for open-ended ones. It shows you think critically and want to solve the right problem.

In a recent Mavens of Data episode, Nick Singh shared secrets for acing your analytics interview and landing your dream job. From working at Facebook to writing bestsellers, he shares it all.