Hey!
MY QUICK UPDATES
- This past month I spent a lot of time on vacation and celebrating the holidays, so I didn’t get as much Machine Learning done as I would have liked to. However, I have been hacking on some projects – NLP on a popular blog, heart disease prediction using a kaggle dataset, and a video that uses voice cloning with Eleven Labs.
THOUGHTS, INSIGHTS, AND ADVICE
- If you’re trying to get a job then you should focus on learning the skills that employers actually want. Building an RNN from scratch in NumPy is impressive, but building an Image Classifier using a pre-trained model in PyTorch and deploying it in a Kuberentes Cluster is more useful.
RANDOM LEARNINGS, KNOWLEDGE, AND REMINDERS
- I spent some time looking through a large number of Machine Learning Engineer job postings to see what technologies employers want us to be proficient in. I created a list of the ones I saw mentioned frequently and I bolded the ones that I thought were mentioned the most. Here is the list:
- NumPy, Pandas, Scikit-Learn
- TensorFlow, PyTorch, Huggingface, Keras, Transformers
- MLFlow; Kubeflow
- Airflow
- Apache Spark / PySpark; Ray
- AWS / AWS SageMaker; GCP / GCP AI; Azure / Azure ML; IBM Watson
- Kubernetes / Helm, Docker, Terraform
- SQL, Postgres
- Hadoop, MapReduce
- Jenkins
- Jupyter Notebook, Google Collab
- Git
OTHER USEFUL/INTERESTING RESOURCES
- Eleven Labs is a website that helps you create Generative Speech. You can see an example of what’s possible in this fun video that went viral: David Attenborough is now narrating my life (X/Twitter)
Michael Hammer
Read all my Newsletters here: https://michaelphammer.com/newsletter/
POPULAR CONTENT
- My most popular video is still the Manim Annimations video! 88 Manim Animations in ONE Video
- My most popular Machine Learning video is I Took Google’s FREE ML Crash Course – Honest Review