A few come to mind. A Masters degree (research or non-research) is a good way to specialize into AI. Competing on Kaggle can also be a motivating way to learn the nuts and bolts. Finally, specializing in the intersection between AI and some other field is a good way to stand out!
CODE
-
Software as Content: When Code Meets Creative Writing
By
–
software is now content when you can ship a new experiment in the time it would've taken you to write a blog post the lines between writing and coding start to blur this is an incredible world for writers who have access to distribution. and it's really fun to enable this for
-
Learn AI Basics and Product Management: New Online Course with Exercises
By
–
This looks like fun >> online course (with exercises) to learn about #AI Basics and Product Management (from Cats & Dogs): https://
sat-s-school.teachable.com/p/learning-a-i
-basics-and-product-management-from-cats-and-dogs
… Course Topics: Intro
ML Basics
Data Science
Top Algorithms
Success Metrics
Deep Learning
ML UX and User Research
Product Roadmap -
Generative AI on Google Cloud with LangChain and Python
By
–
"Generative AI on Google Cloud with #LangChain — Design scalable #GenerativeAI solutions with #Python, LangChain, and Vertex AI on Google Cloud" Now available here: http://
amzn.to/4frbkPA v/ @PacktPublishing #DataScience #DataScientist #ML #AI #GenAI #GCP -
Build Long-Context AI Apps with Jamba: SSMs and Transformers
By
–
New short course: Build Long-Context AI Apps with Jamba. Learn about state space models (SSMs), which have emerged as an alternative to transformers! Specifically, Jamba is a hybrid transformer-Mamba architecture that combines strengths of the transformer with ideas from SSMs.… pic.twitter.com/JqtPVsxane
— Andrew Ng (@AndrewYNg) 8 janvier 2025New short course: Build Long-Context AI Apps with Jamba. Learn about state space models (SSMs), which have emerged as an alternative to transformers! Specifically, Jamba is a hybrid transformer-Mamba architecture that combines strengths of the transformer with ideas from SSMs.
-
Learn Deep Learning from First Principles with Python
By
–
Learn #DeepLearning from Scratch (i.e, First Principles) with Python: https://
amzn.to/4260smZ by @SethHWeidman ————
#AI #ML #MachineLearning #DataScience #DataScientist #NLProc #ComputerVision #NeuralNetworks #Mathematics #Algorithms -
Apache Spark Python Data Source API Simplifies Custom Data Ingestion
By
–
Apache Spark’s Python Data Source API simplifies data ingestion from custom sources. Now, data engineers can efficiently integrate a broader array of data sources and sinks into their Spark pipelines. "The fact that we can now build, test, and surface reusable Spark data sources
-
ODSC East 2025: 80+ Sessions on AI, LLMs, and Data Science
By
–
At #ODSCEast 2025, you’ll access 80+ immersive sessions across 10+ focused tracks, including #GenerativeAI, #AgenticAI, #LLMs, #AI Engineering, & more, including expert-led workshops. Register Now!—60% OFF ends Friday: https://
bit.ly/4eXUlnq
——
#ODSC @_odsc #ML #DataScience -
Extending Power BI with Python and R Advanced Analysis Second Edition
By
–
"Extending #PowerBI with #Python and R — Advanced analysis using the power of analytical languages" The book: http://
amzn.to/49xRKOk v/ @PacktPublishing [Updated 2nd edition. 814 pages] Code at GitHub: https://
github.com/PacktPublishin
g/Extending-Power-BI-with-Python-and-R-2nd-edition
…
—————
#DataScience #Analytics #BI #Rstats #CDO