autodesk learning

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

understand the task, so "save the Earth" to understand "kill all human beings." This is like a typical predictive algorithm that literally understands the task and ignores the other possibilities or the practical significance of the task.So, in January 2016, Harvard Business School professor Michael Luca, professor of economics Sendhil Mullainathan, and Cornell University professor Jon Kleinberg, published an article titled "Algorithm and Butler" in the Harvard Commercial Review. Call upon the

Reproduced http://blog.csdn.net/zhoutongchi/article/details/8191991 Learning ing functions and literature applied in behavior recognition/image classification (models and non-models are associated with each other, and algorithms are mutually adopted. There is no clear distinction between them, including the bionic literature) %The research focuses on ICA model and deep learning with sparse encoding. 1) spar

Unity learning Summary 4. unity learning Summary Silence for a long time, busy for a long time, starting from the beginning is still trying to find excuses for failing to make a good summary and thinking. To sum up, time can still be drawn out. Recently, the accumulation of pitfalls seems to be almost enough. This is also equivalent to leaving more attention to solving problems in the future. I hope you can

Written before: busy, always in a walk stop, squeeze time, leave a chance to think. Intermittent, the study of deep learning also has a period of time, from the beginning of the small white to now is a primer, halfway to read a little article literature, there are many problems. The trip to Takayama has only just begun, and this series is designed to record the path and individual learning sentiment

, let's try to define these two ways to solve the problem:discriminant Learning Algorithm (discriminative learning algorithm): Direct Learning P (y|x) or method of direct mapping from input to outputGenerate learning Algorithm (generative Learning algorithm): models P (x|y)

Public Course address:Https://class.coursera.org/ml-003/class/index INSTRUCTOR:Andrew Ng 1. Learning with large datasets ( Big Data Learning ) The importance of data volume has been mentioned in the previous lecture on machine learning design. Remember this sentence: It is not who has the best algorithm that wins. It is who has the most data. In the ap

A piece of log from renrenren, a high school alumnus. This text is part of his learning experience report for High School Alumni. After reading it, I feel very touched. Some of the reasons are similar, changing the word "Learning" to "work" also applies. Gu shares the word with friends in the group. Hope to help. __________________________________________ Question 4: I am tired of

Sound and fast, 9 places for free learning programming, free learning Programming Original Http://www.iteye.com/news/29631 Code.org is a non-profit organization in the United States, with the support of some tech giants, is planning to bring high-quality computer science courses into schools. However, it doesn't have to be motivated to learn coding with the support of laruence. What is more attractive than

Other JAVA Learning (I) basic knowledge and java learning basic knowledge In the past, machine learning in Python found that when the data volume is getting bigger and bigger, it is hard to meet the needs of simple python processing, Hadoop needs to be used for parallel data processing, while hadoop is written in JAVA, so I started