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Hello everyone, I am mac Jiang. See everyone's support for my blog, very touched. Today I am sharing my handwritten notes while learning the cornerstone of machine learning. When I was studying, I wrote down something that I thought was important, one for the sake of deepening the impression, and the other for the later review.Online machine learning Cornerstone

1. Overview:The first step in learning a subject is to understand what this knowledge is and what it can be used for.This article lists some of the more well-written articles in the process of learning machine learning and the initial impressions of machines learning after reading these articles. Hope can help the read

ProfileThis article is the first of a small experiment in machine learning using the Python programming language. The main contents are as follows: Read data and clean data Explore the characteristics of the input data Analyze how data is presented for learning algorithms Choosing the right model and learning algorithm Assess th

MATLAB machine learning did not see what tutorial, only a series of functions, had to record:Matlab Each machine learning method is implemented in many ways, and can be advanced configuration (such as the training decision tree when the various parameters set), here due to space limitations, no longer described in detail. I'll just list the simplest ways to use it. For detailed use, please follow the functi

Before we recommended the Java language reading books, the following for you to learn from which aspects of the Java language to start learning, the specific contents are as follows 1. Java Language Basics When it comes to the basics of Java language Learning, you will certainly recommend Bruce Eckel's thinking in Java. It is a very profound technical book written, the basic part of the Java language is b

First, model-based RL Model-free RL, learning value functions (and/or strategies) from experience. Model-based RL, from experience directly learns the MDP model of the environment. (State transition probability p and reward matrix R) plan The value function (and/or strategy) from the model. Can be more effective learning, reduce the uncertainty of the model, but the disadvantage is that it will bring two (

"Machine learning" Matlab 2015a self-machine learning algorithm RollupAuthor: Chen Fa St. "Introduction"Today suddenly found that the version of matlab2015a with a lot of classical machine learning methods, simple and easy to use, so write a blog in this summary (I mainly refer to the help of the MATLAB document). Matlab Each machine

Original address: http://blog.csdn.net/lrs1353281004/article/details/79529818 Sorting out the machine learning-algorithm engineers need to master the basic knowledge of machine learning, and attached to the internet I think that write a better blog address for reference. (Continuous update) machine learning-related basic concepts variance (variance) and bias (dev

As an article of the College (http://xxwenda.com/article/584), the follow-up preparation is to be tested individually. Of course, there have been many tests. Apache Spark itself1.MLlibAmplabSpark was originally born in the Berkeley Amplab Laboratory and is still a Amplab project, though not in the Apache Spark Foundation, but still has a considerable place in your daily GitHub program.ML BaseThe mllib of the spark itself is at the bottom of the three-layer ML base, MLI is in the middle layer, a

Machine learning is divided into supervised machine learning, unsupervised machine learning, and semi-supervised machine learning. The criterion for dividing it is whether the training sample contains human-labeled results. (1) Supervised machine learning: a function is lear

Reading List List of reading lists and survey papers:BooksDeep learning, Yoshua Bengio, Ian Goodfellow, Aaron Courville, MIT Press, in preparation.Review PapersRepresentation learning:a Review and New perspectives, Yoshua Bengio, Aaron Courville, Pascal Vincent, ARXIV, 2012. The monograph or review paper Learning deep architectures for AI (Foundations Trends in Machine

Machine Learning is to study how computers simulate or implement human learning behaviors to acquire new knowledge or skills and reorganize existing knowledge structures to continuously improve their own performance. It is the core of artificial intelligence and the fundamental way to make computers intelligent. It is applied in various fields of artificial intelligence. It mainly uses induction, synthesis,

I recently read ng's deep learning tutorial and seeSelf-taught LearningSome concepts are unfamiliar. As a part of paying off the technical debt, I spent half an afternoon searching for several terms. If I want to use them later, I will try again. Supervised Learning has been discussed in the previous blog. Here we will mainly introduce migration learning and se

Add by Zhj: The most important thing to improve your level at work is the ability to learn quickly. This article is to explore this problem, mastered the fast learning ability of the law, you naturally have a rapid learning ability.Original: Learning how to learn study notes Strongly recommended Coursera course "Lear