Proficiency in Programming Languages

Python and R are the lingua franca of AI and machine learning. Mastering these programming languages, along with libraries such as TensorFlow, PyTorch, and scikit-learn, allows for the development and implementation of machine learning models.

Python and R are the lingua franca of AI and machine learning. Mastering these programming languages, along with libraries such as TensorFlow, PyTorch, and scikit-learn, allows for the development and implementation of machine learning models.

Empowered by Artificial Intelligence and the women in tech community.
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Rutika Bhoir
Grad Student at Umass Amherst

One thing I wish someone told me earlier: don’t fall into the “learn Python in 12 hours” trap. There’s this video by one of my favorite creators, Sahil Gabba (shoutout to you, Sahil—if you ever see this, you’re one of the people I look up to so much) called “FASTEST Way to Learn Coding and ACTUALLY Get a Job.” It completely shifted my mindset. He talks about how so many of us get stuck in tutorial hell—watching videos on repeat, learning the same syntax over and over, trying to “perfect” our knowledge before we even use it. I’ve been there. It feels productive, but it’s a trap. The best advice I ever got? Build small projects. Let them be ugly. Let them be inefficient. Just build. You’ll learn more by stumbling through one messy personal project than by watching ten more Python crash courses. One resource that actually helped me bridge the gap between learning and building was the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. It’s practical, hands-on, and forces you to apply what you're reading. Highly recommend it if you're ready to stop looping and start creating. You don’t need to carry all the tools before you start. This isn’t a war. You’re allowed to try. You’re allowed to grow. And yes—Python, R, scikit-learn, TensorFlow, PyTorch—these are the tools, but they’re learnable when you’re in motion. Kylie yang is another creator whose work reminds me of this: try, fail, reflect, try again. It’s not about being perfect. It’s about building momentum—and keeping your curiosity alive.

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