Machine learning articles
Machine learning, a subset of artificial intelligence (AI), involves the development of algorithms and models that enable computer systems to learn from data. These algorithms, often written in Python, are used to create prediction engines, recommendation systems, image recognition applications, and more. Essentially, machine learning empowers AI systems to autonomously acquire knowledge and adapt, enabling them to tackle complex tasks and solve real-world problems. The tutorials below provide tips and tricks on how to get started with machine learning.- This article reviews some of deep learning's common applications.
Common Applications of Deep Learning
- Data science,
- Data visualization,
- Machine learning
- Deep learning models have deep implications.
Dangers of the Black Box
- Data science,
- Data visualization,
- Machine learning
- Learn about decision trees, how they work and how they can be used for classification and regression tasks.
Decision Trees for Classification and Regression
- Data science,
- Machine learning
- In this article, we cover the workflow for a deep learning project.
Deep Learning Workflow
- Data science,
- Machine learning
- Read about the ethical issues surrounding chatbots.
Ethics of Chatbots
- Machine learning
- Learn about feature importance and how to calculate it.
Feature Importance
- Data science,
- Machine learning,
- Python
- Learn about how chatbots grew from simple pattern recognition software to sophisticated machine learning-based models.
History of Chatbots
- Machine learning
- This article gives detailed instructions on how to set up a deep learning environment.
How to set up a deep learning environment
- Machine learning,
- Python
- This article is a brief introduction to the formal theory (otherwise known as Math) behind regression analysis.
Introduction to Regression Analysis
- Computer science,
- Data science,
- Machine learning,
- R
- Long short-term memory networks (LSTMs) are often used in deep learning programs for natural language processing.
Long Short Term Memory Networks
- Data science,
- Machine learning
- Learn how machine learning algorithms impact our daily lives by analyzing one of the most influential algorithms there is: the Netflix recommendation engine!
Netflix Recommendation Engine
- Data science,
- Machine learning
- This article describes why normalization is necessary. It also demonstrates the pros and cons of min-max normalization and z-score normalization.
Normalization
- Data science,
- Machine learning
- An introduction to principal component analysis (PCA) and example implementation in Python
Principal Component Analysis
- Data science,
- Data visualization,
- Machine learning
- Learn about the two types of Supervised Learning algorithms.
Regression vs. Classification
- Machine learning
- Explore key Scikit-Learn commands for machine learning, covering regression, classification, clustering, and model validation in Python.
Scikit-Learn Cheatsheet
- Data science,
- Machine learning,
- Python
- Learn how to customize your figures and scale plots for different presentation settings.
Seaborn Styling, Part 1: Figure Style and Scale
- Data science,
- Data visualization,
- Machine learning
- Learn the key differences between supervised and unsupervised learning in machine learning, with real-world examples.
Supervised vs. Unsupervised Learning: what's the difference?
- Data science,
- Machine learning
- Learn the general structure of how to approach Machine Learning problems in a methodical way.
The Machine Learning Process
- Data science,
- Data visualization,
- Machine learning
- Fun ML tutorial on the show Survivor
The Machine Learning Process: Identifying Storylines in Survivor
- Data science,
- Machine learning
- Fun ML tutorial on Taylor Swift
The Machine Learning Process: Look What Taylor Swift Made Me Do
- Data science,
- Machine learning
- Learn how overfitting affects machine learning models, why it happens, and how to prevent it with data analysis, augmentation, and feature selection.
Understanding Overfitting in Machine Learning
- Data science,
- Machine learning
- Learn about the different types of chatbots and how they work.
What are Chatbots
- Code foundations,
- Data science,
- Machine learning
- An artificial neural network is an interconnected group of nodes, an attempt to mimic to the vast network of neurons in a brain.
What are Neural Networks?
- Data science,
- Machine learning
- A quick overview of deep learning and its applications
What Is Deep Learning?
- Data science,
- Data visualization,
- Machine learning
- Learn how one-hot encoding works and how to implement it with Pandas and Scikit-learn modules in Python.
What is One Hot Encoding and How to Implement it in Python?
- Machine learning,
- Python
- Open-source ML library for Python. Built on NumPy, SciPy, and Matplotlib.
What is Scikit-Learn?
- Developer tools,
- Machine learning,
- Python