Deep Learning, NLP, NMT, AI, ML
Interactive Quiz ⋅ 8 QuestionsBy Philipp Acsany Share Or copy the link: Copied! Happy Pythoning! In this quiz, you’ll test your understanding of building a Django blog back end and a Vue front end, using GraphQL to communicate between them. You’ll revisit how to run the Django server and a Vue application on your computer at the same time. The quiz contains 8 questions and there is no time limit.
Read moreInteractive Quiz ⋅ 24 QuestionsBy Leodanis Pozo Ramos Share Or copy the link: Copied! Happy Pythoning! Test your understanding of Python’s built-in functions and how to use them in your code. Take this quiz after reading our Python’s Built-in Functions: A Complete Exploration tutorial. The quiz contains 24 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of the quiz, you’ll
Read moreInteractive Quiz ⋅ 12 QuestionsBy Philipp Acsany Share Or copy the link: Copied! Happy Pythoning! In this quiz, you’ll test your understanding of how to choose the best font for your daily programming. You’ll get questions about the technicalities and features to consider when choosing a programming font and refresh your knowledge about how to spot a high-quality coding font. The quiz contains 12 questions and there is no time limit.
Read moreI’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 […]
Read more
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 […]
Read more
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 […]
Read more
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 […]
Read moreLarge 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
Read moreHuman 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 […]
Read moreInteractive 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
Read more