udacity machine learning course

TensorFlow integrates and implements a variety of machine learning-based algorithms that can be called directly.Supervised learning1) Decision Trees (decision tree)Decision tree is a tree structure, providing people with decision-making basis, decision tree can be used to answer yes and no problem, it through the tree structure of the various situations are represented, each branch represents a choice (sele

search first search the current directory, and then according to the order of the directory configuration to find, and then run, so the Classpath directory The configuration is in sequence(2) Path environment variable (master)(1) The role of the PATH environment variable guarantees that the Javac command can be run in any directory. The same can be configured QQ and other (2) path configuration of two scenarios: A: Scenario 1 (understanding) B: Scenario 2 Find the location of the environment va

Stanford University's Machine learning course (The instructor is Andrew Ng) is the "Bible" for learning computer learning, and the following is a lecture note.First, what is machine learningMachine

(written in front) said yesterday to write a machine learning book, then write one today. This book is mainly used for beginners, very basic, suitable for sophomore, junior to see the children, of course, if you are a senior or a senior senior not seen machine learning is al

methods use optimization algorithms directly or indirectly.According to the function and form similarity of the algorithm, we can classify the algorithm, for example, tree-based algorithm, neural network based algorithm and so on. Of course, the scope of machine learning is very large, and some algorithms are difficult to classify into a certain category. For so

of the network is changed appropriately, so that the training process can converge faster and more stably.2.1.1 Increase momentum termFeedforward Network in the course of training, loss function often concussion, resulting in the training process is not convergent, in order to reduce the impact of this problem, you can try to use the smooth loss function of the oscillation curve to speed up the training process, through the design of low-pass filter

Dialogue machine learning Great God Yoshua Bengio (Next)Professor Yoshua Bengio (Personal homepage) is one of the great Gods of machine learning, especially in the field of deep learning. Together with Geoff Hinton and Professor Yann LeCun (Yan), he created the deep

to learn the "intrinsic" structure of data from the data set of X. In unsupervised learning, the most practical and representative method is Clustering (cluster). For example we can look for a group of people (yellow people inside), everyone has some data to describe (accent, dietary preferences, ...) And so on, we can get a rough idea of the different clusters (cluster) through these characteristics. The concept of these clu

Operating system Learning notes----process/threading Model----Coursera Course note process/threading model 0. Overview 0.1 Process ModelMulti-Channel program designConcept of process, Process control blockProcess status and transitions, process queuesProcess Control----process creation, revocation, blocking, wake-up 、...0.2 threading ModelWhy threading is introducedThe composition of the threadImplementatio

square feet size house to sell, then based on the above data, how do you speculate about how much the house worth. For this problem, we can apply the machine learning algorithm, draw a line in this set of data or a line of quasi-unity, according to this line we can speculate that the house may sell $000. Of course, this is not the only algorithm, such as a two-t

the WTW:The essence is similar.Another understanding: If we consider the constraints in SVM as a filtering algorithm, for a number of points in a plane,It is possible that some margin non-conforming methods will be ignored, so this is actually a reduction of the problem of the VC dimension, which is also an optimization direction of the problem.With the condition of M > 1.126, better generalization performance was obtained compared to PLA.Taking a circle midpoint as an example, some partitionin

11.1 What to do first11.2 Error AnalysisError measurement for class 11.3 skew11.4 The tradeoff between recall and precision11.5 Machine-Learning data11.1 what to do firstThe next video will talk about the design of the machine learning system. These videos will talk about the major problems you will encounter when desi

　　Preface In recent weeks, I spent some time learning the machine learning course of the Dragon Star program for the next summer vacation. For more information, see the appendix. This course chooses to talk about the basic model in ml. It also introduces popular and new algo

inspire rewards by trying and using errors to reveal specific actions. The agents can then use these rewards to understand the best state of the game and choose the next action.Quantifying the prevalence of machine learning algorithmsSome research reports (http://www.cs.uvm.edu/~icdm/algorithms/10Algorithms-08.pdf) have been done to quantify 10 of the most popular data mining algorithms. However, such a li

Machine learning Algorithms Study NotesGochesong@ Cedar CedroMicrosoft MVPThis series is the learning note for Andrew Ng at Stanford's machine learning course CS 229.Machine

1. What is manifoldManifold Learning Viewpoint: We think that the data we can observe is actually mapped by a low-dimensional pandemic to a high-dimensional space. Due to the limitations of the internal characteristics of the data, some of the data in the higher dimensions produce redundancy on the dimension, which in fact can be represented only by a lower dimension. So intuitively speaking, a manifold is like a D-dimensional space, in a m-dimensiona

Turn from: 11900000053568571. PrefaceOriginally this title I think is 算法工程师的技能 , but I think if added in the 机器学习 title, the estimated point of people will be a little more, so the title into this, hehe, and is indexed by the search engine when a more popular words, estimated exposure will be more points. But rest assured, the article is not tricky, we are serious.Today, the 机器学习 last two years of the computer field of the hottest topic, this is not a machin