Machine Learning Algorithms in Depth dissects and explains dozens of algorithms across a variety of applications, including finance, computer vision, and NLP. Each algorithm is mathematically derived, followed by its hands-on Python implementation along with insightful code annotations and informative grap...
Forecasting algorithms can help you with this task as they are able to analyze the data in-depth, looking for hidden patterns, and make predictions based on this analysis. The trends analysis is obviously the forte of this type of machine learning algorithm. That’s why forecasting is commonly...
Machine Learning Algorithm Types Supervised Machine Learning The traditional machine learning type is called supervised machine learning, which necessitates guidance or supervision on the known results that should be produced. In supervised machine learning, the machine is taught how to process the input...
“A program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.” This means that a machine learning algorithm attempts to approximate a function f by analyzing...
The first chapter of this book explained what machine learning is and why it is needed. This chapter now gives an in-depth overview of the subject. The most important machine learning algorithms (models) are explained in detail and several important questions are answered: Which algorithm should...
Reinforcement learningis often used for robotics, gaming and navigation. It's also used in conjunction with generative AI techniques, like large language models. With reinforcement learning, the algorithm discovers through trial and error which actions yield the greatest rewards. This type of learning...
The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques All levels 97 Lectures 13h16m $29.99 $199.99 85% OFF! 4.7 Data Science Linear Programming for Linear Regression in Python ...
随机森林就是通过集成学习的思想将多棵树集成的一种算法,它的基本单元是决策树,而它的本质属于机器学习的一大分支——集成学习(Ensemble Learning)方法。随机森林的名称中有两个关键词,一个是“随机”,一个就是“森林”。“森林”我们很好理解,一棵叫做树,那么成百上千棵就可以叫做森林了,这样的比喻还是很贴切的...
Explain the K Nearest Neighbor algorithm. What is feature importance in machine learning, and how do you determine it? What is overfitting in machine learning, and how can it be avoided? What is the difference between supervised and unsupervised learning? What is a confusion matrix, and why is...
Just as a child learns to identify fruits by memorizing them in a picture book, in supervised learning the algorithm is trained by a data set that’s already labeled. An example of supervised machine learning is a spam email filter, where the algorithm is trained on a labeled data set in...