Author: Deep Learner

Python

Strings and Character Data in Python

Python’s strings are ordered sequences of characters. Because of this, you can access individual characters from a string using the characters’ associated index. What’s a character’s index? Each character in a string has an index that specifies its position. Indices are integer numbers that start at 0 and go up to the number of characters in the string minus one. In the following sections, you’ll learn how to run these two operations on your Python strings. Indexing Strings You can […]

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Machine Learning

5 DIY Python Functions for Data Cleaning

Image by Author | Midjourney Data cleaning: whether you love it or hate it, you likely spend a lot of time doing it. It’s what we signed up for. There’s no understanding, analyzing, or modeling data without first cleaning it. Making sure we have reusable tools handy for data cleaning is essential. To that end, here are 5 DIY functions to give you a some examples and starting points for building up your own data cleaning tool chest. The functions […]

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Python

Simulate a Text File in Python

Testing applications that read files from a disk can be challenging. Issues such as machine dependencies, special access requirements, and slow performance often arise when you need to read text from a file. In this Code Conversation with instructor Martin Breuss, you’ll discover how to simplify this process by simulating text files with StringIO from the io module in Python’s standard library. In this video course, you’ll learn how to: Use io.StringIO to simulate a text file on disk Perform […]

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Machine Learning

7 Key Terms Every Machine Learning Beginner Should Know

Image by Editor | Midjourney & Canva If you’re new to machine learning, understanding basic terms is crucial. Knowing key terms can help you understand the basics better. Here are 7 essential terms every beginner should know. These terms will give you a solid foundation to build your machine learning knowledge. 1. Algorithm An algorithm is a set of rules a computer uses to solve a problem. It finds patterns in data and makes predictions. There are several types of […]

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Python

Quiz: Python’s Built-in Exceptions: A Walkthrough With Examples

Interactive Quiz ⋅ 19 QuestionsBy Leodanis Pozo Ramos Share Or copy the link: Copied! Happy Pythoning! In this quiz, you’ll test your understanding of the most commonly used built-in exceptions in Python. Exception handling is a core topic in Python. Knowing how to use some of the most common built-in exceptions can help you to debug your code and handle your own exceptions. Good luck! The quiz contains 19 questions    

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Machine Learning

7 Free Resource to Master LLMs

Image by Editor | Midjourney Large Language Models (LLMs) are a hot topic right now, and everyone is getting involved in this new trend. Companies are searching for LLM engineers who can develop and implement AI solutions to optimize their workflow and reduce costs through automation, customer service, recommendations, issue resolution, and debugging. Instead of worrying that AI will take your job, why not upskill and join the race? In this blog, we will provide a review of free courses, […]

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Python

How to Write an Installable Django App

In the Django framework, a project refers to the collection of configuration files and code for a particular website. Django groups business logic into what it calls apps, which are the modules of the Django framework. There’s plenty of documentation on how to structure your projects and the apps within them, but when it comes time to package an installable Django app, information is harder to find. In this tutorial, you’ll learn how to take an app out of a […]

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Top 9 Vector Databases You Should Know

Introduction In recent times, Vector Databases have gained quite a popularity, especially after the arrival of the RAG architecture to work efficiently with LLMs. The concept of vector databases is not new, however, as they were already used in recommendation engines, personalization, Ad targeting, etc. Vector databases are used to save, index, and retrieve complex data like text, images, or other unstructured formats in vectors. The vectors are mathematical representations of data in a high-dimensional space enabling high-quality similarity and […]

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Artificial intelligence Leave a comment

What’s Your Story: Emre Kiciman

In this episode, I’m talking with Emre Kiciman, the senior principal research manager leading the AI for Industry research team at Microsoft Research Redmond. After completing a PhD in systems and networking in 2005, Emre began his career with Microsoft Research in the same area, studying reliability in large-scale internet services. Exposure to social data inspired him to refocus his research pursuits: his recent work in causal analysis—including DoWhy, a Python library for causal inference—is helping to connect the whats […]

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Artificial intelligence Leave a comment

Research Focus: Week of July 29, 2024

Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. NEW RESEARCH Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior Differentiable causal discovery has made significant advancements in the learning of directed acyclic graphs. However, its application to real-world datasets remains restricted due to the ubiquity of latent confounders and the requirement to learn maximal ancestral  

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