Image by Author | Ideogram   Contents# Introduction# 1. Building Technical Skills# 2. Being Paid to Learn3. AI-Proofing My CareerSummary # Introduction  When I first started my data science career in 2020, the field was booming. Everywhere you looked, companies were hiring data professionals. At that time, I built a data science portfolio and managed to land several high-paying …

Why I Quit My 6 Figure Side Hustle for a Full-Time Data Science Job Read More »

We introduce VaultGemma, the most capable model trained from scratch with differential privacy.

composers are known to reuse motifs (i.e., characteristic note progressions or melodic fragments) across their works. For example, famous Hollywood composers such as John Williams (Superman, Star Wars, Harry Potter) and Hans Zimmer (Inception, Interstellar, The Dark Knight) deftly recycle motifs to create instantly recognizable, signature soundtracks. In this article, we show how to do …

Eulerian Melodies: Graph Algorithms for Music Composition Read More »

Image by Author | ChatGPT   Machine learning has powerful applications across various domains, but effectively deploying machine learning models in real-world scenarios often necessitates the use of a web framework. Django, a high-level web framework for Python, is particularly popular for creating scalable and secure web applications. When paired with libraries like scikit-learn, Django …

Building Machine Learning Application with Django Read More »

Acknowledgements This work was developed by the Gemini Robotics team: Abbas Abdolmaleki, Saminda Abeyruwan, Joshua Ainslie, Jean-Baptiste Alayrac, Montserrat Gonzalez Arenas, Ashwin Balakrishna, Nathan Batchelor, Alex Bewley, Jeff Bingham, Michael Bloesch, Konstantinos Bousmalis, Philemon Brakel, Anthony Brohan, Thomas Buschmann, Arunkumar Byravan, Serkan Cabi, Ken Caluwaerts, Federico Casarini, Christine Chan, Oscar Chang, London Chappellet-Volpini, Jose Enrique …

Gemini Robotics 1.5 brings AI agents into the physical world Read More »

Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep dives, community news, and more. AI-powered tools tend to generate extreme reactions: on one side we have the “It’s magic!” and “best thing ever!” crowd. On the other, we find the “we’re doomed!” camp. These aren’t static …

TDS Newsletter: To Better Understand AI, Look Under the Hood Read More »

Image by Editor | ChatGPT   Contents# Introduction# 1. The Root Cause of Hallucinations# 2. The Origins of Hallucinations# 3. Hallucinations are Inevitable# 4. Hallucinations are Persistent# 5. The Role of Arbitrariness# Key Takeaways # Introduction  Hallucinations — the bane of the language model (LM) and its users — are the plausible-sounding but factually incorrect statements produced by LMs. These hallucinations are problematic …

Why Do Language Models Hallucinate? Read More »

We’re expanding our risk domains and refining our risk assessment process. AI breakthroughs are transforming our everyday lives, from advancing mathematics, biology and astronomy to realizing the potential of personalized education. As we build increasingly powerful AI models, we’re committed to responsibly developing our technologies and taking an evidence-based approach to staying ahead of emerging …

Strengthening our Frontier Safety Framework Read More »

days, people are taking more loans than ever. For anyone who wants to build their own house, home loans are available and if you own a property, you can get a property loan. There are also agriculture loans, education loans, business loans, gold loans, and many more. In addition to these, for buying items like …

The Kolmogorov–Smirnov Statistic, Explained: Measuring Model Power in Credit Risk Modeling Read More »

Image by Author | Ideogram   Contents# Introduction# Installing Polars# Creating Sample Data# Looking at Your Data# Adding New Columns# Grouping Data# Filtering Data# Analyzing Customer Behavior# Putting It All Together# Conclusion # Introduction  When you’re new to analyzing with Python, pandas is usually what most analysts learn and use. But Polars has become super popular and is faster and more efficient. Built in Rust, Polars …

Beginner’s Guide to Data Analysis with Polars Read More »