Tuesday Tip #15: Keep up with AI 🧠


Hi Reader,

I’m so pleased to share with you my first podcast interview! In this episode of the “Ken’s Nearest Neighbors” podcast, we discuss:

🎓 How I went from being unfamiliar with the term “data science” to teaching it in less than a year

🧘‍♂️ How I overcame personal challenges through self-work

⏱️ What it’s like to be a full-time content creator in 2023

…and so much more. I hope you enjoy the conversation!

You can watch it on YouTube or listen in your favorite podcast player.


👉 Tip #15: How to keep up with AI & Data Science

Do you find it hard to keep up with what’s going on in the world of AI & Data Science? I know I do!

The reality is that our field is now hotter than ever! 🔥 But that also makes it impossible to stay up-to-date with the latest news, tools, and resources.

My solution is simple: Find the best sources of information, and ignore everything else.

Social media can be a great source of information, but it’s too hard to weed through all of the noise without getting distracted or overwhelmed. 😕

Instead, I recommend subscribing to a few select newsletters that have done the work of sifting and sorting for you!

Here are the two best newsletters that I read each week:

1. The Batch from DeepLearning.AI

Every issue starts with a thoughtful and timely letter from Andrew Ng, the legendary founder of Coursera. Then, The Batch summarizes a few AI stories from the week, including their comments on “why it matters” and their reaction to the news.

Here’s what makes it exceptional: The Batch is written by people who truly understand and care about the field of AI, and insist that AI advancements occur in an ethical fashion.

2. Data Elixir

Every issue of Data Elixir links to a handful of high-quality tools, tutorials, opinion pieces, and news articles from the world of Data Science.

Data Elixir stands out because the curation is top-notch, and because each link includes a helpful summary so that you can easily decide which articles might be of interest to you.


Do you have a favorite AI or Data Science newsletter? Click reply and let me know!

See you next Tuesday, and have a great week! 🙌

- Kevin

P.S. ​One of the all-time greatest stories

Did someone awesome forward you this email? Sign up here to receive data science tips every week!

Learn Data Science from Data School 📊

Join 25,000+ aspiring Data Scientists and receive Python & Data Science tips every Tuesday!

Read more from Learn Data Science from Data School 📊

Hi Reader, Next week, I’ll be offering a Black Friday sale on ALL of my courses. I’ll send you the details this Thursday! 🚨 👉 Tip #50: What is a "method" in Python? In Python, a method is a function that can be used on an object because of the object's type. For example, if you create a Python list, the "append" method can be used on that list. All lists have an "append" method simply because they are lists: If you create a Python string, the "upper" method can be used on that string simply...

Hi Reader, I appreciate everyone who has emailed to check on me and my family post-Helene! It has been more than 6 weeks since the hurricane, and most homes in Asheville (mine included) still don't have clean, running water. We're hopeful that water service will return within the next month. In the meantime, we're grateful for all of the aid agencies providing free bottled water, free meals, places to shower, and so much more. ❤️ Thanks for allowing me to share a bit of my personal life with...

Hi Reader, Regardless of whether you enrolled, thanks for sticking with me through the launch of my new course! 🚀 I've already started exploring topics for the next course... 😄 🔗 Link of the week git cheat sheet (PDF) A well-organized and highly readable cheat sheet from Julia Evans, the brilliant mind behind Wizard Zines! 👉 Tip #48: Three ways to set your environment variables in Python I was playing around with Mistral LLM this weekend (via LangChain in Python), and I needed to set an...