Author: Guo Bi Yang This article mainly summarizes the computational and programming problems from cs224n’s assignment 2. I found this assignment design to be excellent, progressing step by step, with both theory and practice, and a moderate level of difficulty. The overall structure feels more like a detailed tutorial. Therefore, I will review and reflect … Read more
Big Data DigestProduced by Author: Jay Alammar Embedding is one of the most fascinating ideas in machine learning. If you have ever used Siri, Google Assistant, Alexa, Google Translate, or even your smartphone keyboard for next word prediction, you have likely benefited from this idea that has become central to natural language processing models. Over … Read more
1. Build Your Own Large Model Assistant The emergence of large models has brought revolutionary changes to many fields, from natural language processing to computer vision, and even in medicine and finance. However, for many developers, experimenting with and applying some open-source models can be a challenge, as they often require expensive hardware resources to … Read more
1. Basic Concepts of Linear Programming Linear Programming (LP) is an important branch of mathematical programming in operations research, used to find the maximum or minimum of a linear objective function under a set of linear inequality constraints. The problem can be stated as: Find the optimal solution (maximum or minimum) of the linear objective … Read more
Deep Dive Into Python Machine Learning Library LightGBM Xiaoming: Sister Xiaoli, I’m working on a machine learning project and I feel that model training is really difficult. Is there a useful library that can make it easier for me? 😩 Sister Xiaoli: Of course! 🙌 Today, I will tell you about LightGBM, which is a … Read more
Python Data Science & Machine Learning: These Optimization Tips You Probably Don’t Know! Introduction Dear Python developers and data science enthusiasts, have you ever encountered the following scenarios: Spent several days doing data analysis with Python, but the program runs slowly, and memory consumption is through the roof? Trying to tune a deep learning model … Read more
Quick Start to Machine Learning with Scikit-Learn When it comes to machine learning, many beginners might feel that it’s far from their reach. However, that’s not the case. Today, let’s talk about how to quickly train and evaluate machine learning models using the scikit-learn library in Python. Imagine, just like building blocks, you can create … Read more
1. Introduction to the Library In today’s fast-paced digital age, machine learning has permeated various aspects of life. From smart voice assistants understanding our spoken commands, personalized recommendations on e-commerce platforms, to medical imaging for disease recognition and financial institutions predicting credit risks, machine learning algorithms play a core role. Scikit-learn, as the most popular … Read more
Click the blue text above to follow us TensorFlow: Essential Tool for Machine Learning Engineers Recently, while working on a deep learning project, I found TensorFlow to be an excellent tool. It is not only powerful but also very easy to use. Today, let’s discuss the basics of TensorFlow and see how it helps us … Read more
1. Introduction: Inferring from Clues Hello everyone! Imagine you are a detective investigating a case. You would infer who the suspect is based on various “clues” left at the scene (such as fingerprints, footprints, eyewitness descriptions, etc.). The Naive Bayes algorithm acts like a “probability detective”; it predicts the likelihood of an event occurring based … Read more