Dear teachers and fellow students:
Good morning!
Today, I am talking about the topic of "Launching science wings to fly the dream of innovation", open the history of human development, from the ancient drilling wood to get fire, to the full use of new energy; from the ancient "beacon even March, home to million gold", to the present distance of thousands of miles away but close to the global village; from ancient camped, day and night, To the curren
With the popularization of computers, many teachers and friends have said goodbye to the original paper, steel needle pen and the mimeographs "ink Era", instead of using computers to arrange materials, test papers. But the problem also came, in the "Ink Era" everyone printed materials are handwritten, science characters, formulas do not need so many norms (the specification is also not to be seen). And now the "Electrical age" using printed character
In this blog post, I'd like to talk to you about my understanding of computer science. The current undergraduate stage of computer science teaching involves all aspects of computer science, the classification of complex, sometimes may make the new people confused. So, what is the most important thing for a computer science
Data Science BlogsA curated list of data science blogs
Agile Data Science http://blog.sense.io/(RSS)
Airbnb Data Blog http://nerds.airbnb.com/data/(RSS)
Analytics Vidhya http://www.analyticsvidhya.com/blog/(RSS)
Andrej karpathy Blog http://karpathy.github.io/(RSS)
Beautiful Data http://beautifuldata.net/(RSS)
Beckerfuffle http://mdbecker.github.io/(
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Video information
What is Data science
The struggle of Data science
Integrity
Deployment
Do Data Science once
Arithmetic and visualization
Prediction
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Go for Data S
The first contact with complexity science is in a book called Think Complexity, Dr. Allen speaks very well of data structure and complexity science, Barabasi is a well-known complex network scientist, Barabasilab is a laboratory he dominates, Here the note is about the course introduced in the slider notes, of course, other people's course is not a public class, so from the PPT can only see the backbone of
Test instructions: To a n*m grid map, each point is dyed black there is a benefit, dyeing White has a profit, if the point adjacent (there is a public side) of the lattice with it color, there will be an additional benefit, to seek the maximum benefit scheme.Consider the idea of a similar maximum closed sub-graph, we will calculate the total revenue first, and then run the minimum cut, and finally the total proceeds to reduce the minimum cut is the answer.How to build a map? We have to ensure th
Software engineering is a study of engineering methods to build and maintain effective, practical and high-quality software disciplines. It involves programming language, database, software development tools , system platform, standards, design patterns and so on. It is the use of appropriate resources (including personnel, hardware and software resources, time, etc.), a set of development activities for the development of software, at the end of the activity input (that is, the user's needs) in
mathematical proof, the intuition school is only limited to proving the negative proposition, that is, the inverse law in mathematical logic, which is weaker than the inverse proof method. (Why ?)Starting from the most intuitive concept, the constructive definition of the concept and the construction method of the mathematical theorem proof, the developed mathematics forms the so-called constructive mathematics.
4) "... History of mathematics... Mathematical Philosophy... Ancient and Modern ma
2018 will be a year of rapid growth in AI and machine learning, experts say: Compared to Python is more grounded than Java, and naturally becomes the preferred language for machine learningIn data science, Python's grammar is the closest to mathematical grammar, making it the easiest language for professionals such as mathematicians or economists to understand and learn. This article will list the top ten most useful Python tools for machine learning
in modern society, the development of science and technology is growing fast! and mobile phones, computers and other objects more and more play an important role, now people can not do without mobile phones, network this information age! Science and technology to the present, many people are replaced by real technology! If the original to do something needs a lot of people, now say so, with the development
Some time ago, the library borrowed such a book. It seems to be related to our major (information), and it is a theoretical aspect. We need to take a look at more things.
A pure theoretical book is filled with text and mathematical symbols, which are representative of advanced books.
With the rise of information science, there has been a modern science centered on material, energy, and information. The conc
The application source code of the China Science Daily client. The application source code is relatively complete and is also a good news and information client application. It can support comments, collections, and other functions, the content of the digital mobile platform of China Science Daily is synchronously updated with the electronic version of the website. You can instantly view the content of the
MapreduceMapReduce is a computational model, except that the computational model is in the world of parallel computing.Consider a simple example-word statisticsfrom collections import Counterimport redocuments = ["data science", "big data", "science fiction"]def tokenize(message): message = message.lower() all_words = re.findall(‘[a-z0-9]+‘,message) return set(all_words)def word_count_old(documents
R VS Python in Data science: The winner is ...In the "Best" data Science tools game, R and Python have their own pros and cons. The choice between the two depends on the use of the background, the need to learn spending and other tools that are often usedMartijn Theuwissen published in Datacamp.At Datacamp, students often ask us about their daily data analysis tasks using R or Python. Although we mainly off
Software Engineering is the development of software as a concrete project to study, mainly in the project progress, engineering quality, engineering costs and other aspects of control and grasp, pay attention to the macroscopic aspects of things. Computer science and technology, in favor of specific technical realization, technology development, and so on, in favor of mathematics and computer science, rathe
Computer Science focuses on the study of hardware and computer theory, studies the science of computer and its surrounding phenomena and laws, studies the structure of computer systems, program systems (i.e. software), artificial intelligence, and the nature and problems of computing itself. Computer science is a system discipline that encompasses a wide variety
read the difference between software engineering and computer science, and talk about your opinion.Software engineering is a project in terms of scope, and computer science is a field, so computer science is more extensive.Software Engineering: The interpretation is a project, the main content is how to plan and design a project, so that people in the process of
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