Hardware and devices Leave a comment

Collaborators: Sustainable electronics with Jake Smith and Aniruddh Vashisth

I’m thrilled to be in the booth today, IRL, with Dr. Jake Smith, a senior researcher at Microsoft Research and part of the Microsoft Climate Research Initiative, or MCRI. And with him is Dr. Aniruddh Vashisth. He’s an assistant professor of mechanical engineering at the University of Washington and director of the Vashisth Research Lab. Jake and Aniruddh are working on a project that uses machine learning to help scientists design sustainable polymers with a particularly exciting application in the […]

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Machine Learning

5 Tips for Getting Started with Deep Learning

Image by Author | Midjourney Deep learning is a subset of machine learning that has become a cornerstone in many technological breakthroughs. At the core of deep learning, it’s a model inspired by the human brain, which we call a neural network. Contrary to the traditional machine learning model, deep learning can automatically find feature representations from data. That’s why many domains, including computer vision, speech recognition, text generation, and many more, use deep learning as their technology basis. With […]

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Machine Learning

Principles of Reinforcement Learning: An Introduction with Python

Image by Editor | Midjourney Reinforcement Learning (RL) is a type of machine learning. It trains an agent to make decisions by interacting with an environment. This article covers the basic concepts of RL. These include states, actions, rewards, policies, and the Markov Decision Process (MDP). By the end, you will understand how RL works. You will also learn how to implement it in Python. Key Concepts in Reinforcement Learning Reinforcement Learning (RL) involves several core ideas that shape how […]

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Python

How Do You Choose Python Function Names?

One of the hardest decisions in programming is choosing names. Programmers often use this phrase to highight the challenges of selecting Python function names. It may be an exaggeration, but there’s still a lot of truth in it. There are some hard rules you can’t break when naming Python functions and other objects. There are also other conventions and best practices that don’t raise errors when you break them, but they’re still important when writing Pythonic code. Choosing the ideal […]

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Artificial intelligence Leave a comment

Unified Database: Laying the foundation for large language model vertical applications

Large language models (LLMs) have become a valuable technology in areas such as content creation, language comprehension, and intelligent dialogue, or interactions between people and computer systems. However, these models generate responses based on patterns and rules observed in fixed training data, which can potentially lead them to produce erroneous and even fictitious information. The models can also struggle with real-time knowledge updates. One technique known as retrieval augmented generation (RAG) can organically combine fresh external information  

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Artificial intelligence Leave a comment

Empowering NGOs with generative AI in the fight against human trafficking

Human trafficking and labor exploitation are ancient problems that have evolved with each major leap in technology, from the agricultural revolution to the information age. But what if the right combination of people, data, and technology could help to tackle these problems on an unprecedented scale? With the emergence of generative AI models, which can create rich text and media from natural language prompts and real-world understanding, we are seeing new opportunities to advance the work of organizations that are […]

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Python

Quiz: Split Your Dataset With scikit-learn’s train_test_split()

Interactive Quiz ⋅ 7 QuestionsBy Martin Breuss Share Or copy the link: Copied! Happy Pythoning! In this quiz, you’ll test your understanding of how to use train_test_split() from the sklearn library. By working through this quiz, you’ll revisit why you need to split your dataset in supervised machine learning, which subsets of the dataset you need for an unbiased evaluation of your model, how to use train_test_split() to split your data, and how to combine    

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Python

Customize VS Code Settings

Visual Studio Code, is an open-source code editor available on all platforms. It’s also a great platform for Python development. The default settings in VS Code present a somewhat cluttered environment. This Code Conversation with instructor Philipp Acsany is about learning how to customize the settings within the interface of VS Code. Having a clean digital workspace is an important part of your work life. Removing distractions and making code more readable can increase productivity and even help you spot […]

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Python

Python News Roundup: July 2024

Summer isn’t all holidays and lazy days at the beach. Over the last month, two important players in the data science ecosystem released new major versions. NumPy published version 2.0, which comes with several improvements but also some breaking changes. At the same time, Polars reached its version 1.0 milestone and is now considered production-ready. PyCon US was hosted in Pittsburgh, Pennsylvania in May. The conference is an important meeting spot for the community and sparked some new ideas and […]

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Machine Learning

Tips for Effective Feature Engineering in Machine Learning

Image by Author Feature engineering is an important step in the machine learning pipeline. It is the process of transforming data in its native format into meaningful features to help the machine learning model learn better from the data. If done right, feature engineering can significantly enhance the performance of machine learning algorithms. Beyond the basics of understanding your data and preprocessing, effective feature engineering involves creating interaction terms, generating indicator variables, and binning features into buckets. These techniques help […]

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