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of the current node is the middle half of the distance of all its leaf nodes is float (NUMLEAFS)/2.0/plottree.totalw* 1, but since the start Plottree.xoff assignment is not starting from 0, but the left half of the table, so also need to add half the table distance is 1/2/plottree.totalw*1, then add up is (1.0 + float (numleafs))/2.0/ Plottree.totalw*1, so the offset is determined, then the X position becomes Plottree.xoff + (1.0 + float (numleafs))/2.0/PLOTTREE.TOTALW3, for Plottree function p
Original address Mathematics is the foundation of computer technology, linear algebra is the basis of machine learning and deep learning, the best way to understand the knowledge of the data I think is to understand the concept, mathematics is not only used for exams in school, but also the essential basic knowledge of the work, in fact, there are many interestin
Customer Churn "Loss rate" is a business term that describes the customer's departure or stop payment of a product or service rate. This is a key figure in many organizations, as it is usually more expensive to get new customers than to retain the existing costs (in some cases, 5 to 20 times times the cost). Therefore, it is invaluable to understand that it is valuable to maintain customer engagement because it is a reasonable basis for developing retention policies and implementing operational
Learning software Development should read the bookSource: The log of Li Yue Jia 1. C Language Promotion"C and Pointers"C Defects and pitfalls"C Expert Programming"This three book is a junior C programmer must read three books, but also fresh new employees have to study the textbook, very suitable for the newly graduated college students study2. C + + language promotion"Effective C + +: 55 specific practices
Artificial Intelligence 60: a good book to introduce depth study In short, the 60-year history of AI development can be divided into three stages: logical reasoning, knowledge system and machine learning. Now, we are entering the stage of machine learning. What is
", a book written by Chinese scientists, is quite understandable.6. "Managing gigabytes", a good book of information retrieval.7. "Information theory:inference and Learning Algorithms", reference books, relatively deep.Relevant mathematical basis (reference books, not suitable to read through):1. Linear algebra: This reference
;Machine Learning:an Algorithmic Perspective (2nd ed.), Stephen Marsland, 2015;Deep Learning, an online book;Neural Networks and Learning Machines (3rd ed.), Simon O. Haykin, 2008, with Chinese translation: Neural Network and machine lea
August 20, 2014 "Concise Python Programming" Core notes (note)Yesterday and today in two days time. The book "Concise Python Programming" is finished, including the code on the book. Now record the core notes so that we can review them later.The first chapter briefly introducesPython language is one of the few programm
This is already the third algorithm of machine learning. Speaking of the simple Bayes, perhaps everyone is not very clear what. But if you have studied probability theory and mathematical statistics, you may have some idea of Bayesian theorem, but you can't remember where it is. Yes, so important a theorem, in probability theory and mathematical statistics, only a very small space to introduce it. This is n
formed a more perfect experience accumulation of the application scene. There are many applications in data mining that need to be developed, even if it is possible to dig out valuable patterns. Like Recommender systems, computer vision, and NLP, these values are known to be more fortunate than others. Write the Book of course everything to write, is there something in machine
August 20, 2014 "Concise Python Programming" Core notes (note)Two days yesterday and today, the book "Concise Python Programming" is finished, including the code in the book. Now record the core notes so that we can review them later.Introduction to the first chapterPython language is one of the few programming languag
a machine learning course at Stanford University. Take more course notes, complete course assignments as much as possible, and ask more questions. Read some books: This refers not to textbooks, but to the books listed above for beginners of programmers. Master a tool: Learn to use an analysis tool or class library, such as the python
is all 0. And because it can be deduced that b=1nz∗zt=wt∗ (1NX∗XT) w=wt∗c∗w, this expression actually means that the function of the linear transformation matrix W in the PCA algorithm is to diagonalization the original covariance matrix C. Because diagonalization in linear algebra is obtained by solving eigenvalue and corresponding eigenvector, the process of PCA algorithm can be introduced (the process is mainly excerpted from Zhou Zhihua's "machine
sales of more than millions series of books for more than 10 consecutive years to create a classic brand intuitive, step-by-step learning courses to master the best starting point of knowledge "Read less, do more" (intensive reading more practice) teaching ideas to guide the reader to complete the most common tasks You can also choose it without editing experience. "Whether you are a beginner or an experienced programm
We have developed a false news detector using machine learning and natural language processing, which has an accuracy rate of more than 95% on the validation set. In the real world, the accuracy rate should be lower than 95%, especially with the passage of time, the way the creation of false news will change. Because of the rapid development of natural language processing and
Python is a fire, and that's no doubt, so how do I get started? A lot of small white are very confused, do not know how to start, although the small series want to give everyone to send paper books, after all, the paper book looks like some, but the small part is still relatively poor, can not afford to send, to everyone dozens of PDF book it! Private messages Sm
Simple testing and use of PHP Machine Learning Library php-ml, php machine library php-ml Php-ml is a machine learning library written in PHP. Although we know that python or C ++ provides more
The last three weeks of Andrew Ng's machine learning were recently followed by the linear regression (Linear Regression) and logistic regression (logistic Regression) models in machines learning. Make a note here.Also recommended a statistical study of the book, "Statistical Learni
Experimental purposes Recently intend to systematically start learning machine learning, bought a few books, but also find a lot of practicing things, this series is a record of their learning process, from the most basic KNN algorithm began; experiment Introduction Language: Pytho
Deep Learning SpecializationWunda recently launched a series of courses on deep learning in Coursera with Deeplearning.ai, which is more practical compared to the previous machine learning course. The operating language also has MATLAB changed to Python to be more fit to the
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