nanodegree udacity

The programmer's life is easy. There are plenty of jobs and good pay.Even if you don't want to be a programmer, it's still right to learn some programming. Especially for those who work in web design, digital marketing, corporate and it industries.But which language should you study?The Udacity website makes a great infographic (see below) to help you choose. But I'd like to talk a little bit further.On the basis of their infographic, I will give my a

Citation I was learning programming from last year (Python), and still in the introductory phase. The reason why my entry stage is so long, I think there are several reasons: first, no choice of teaching materialsAt first I read the concise Python tutorial, and most of the concepts in the book are simple enough to be considered as a basic understanding. Then do a network online tutorial, blindly emphasize the grammar rules, anti-sleep boring, like to do in the blanks. Then, after watching the tu

Original source: http://bbs.landingbj.com/t-0-267091-1.html "programming language" in the past is often the same as engineers, a house painting, but the progress of business and technology today, the importance of programming language is not alone, and even already deep in everyone's mind. For example, the game plug-in script, mouse keyboard record program, Excel formula, macro, in many places can see the shadow of the program language, even President Obama has written a program, but also the pr

request. Of course, don't forget Starred!Updated every week. Stay tuned. -- By Django Learning Group, we look forward to your suggestions and comments for reference to the open class Udacity CS253: Classroom-Udacity Although the framework uses webapp2, it can be used as the basis. We recommend that you first clarify your purpose: If you want to learn, you should learn python and http-related knowledge. dja

own, you are not used to the Stata programming method, so the code is not easy to reuse. Do File is a long time and you will feel a little messy. Furthermore, matrix operations and operations are not very useful. Later, I became interested in data science and machine learning and offered Python-based courses on platforms such as edX, Coursera, and Udacity. The most useful learning tools are the two Python courses (6.00.1x and 6.00.2x) at MIT on edX

ones who just want to know what to drive their car on the highway, just like everyone else . If you are the former in the text, * * Reading SICP will become a key point in your initiation and entry stages * *Although SICP is an "introductory book", but for beginners still have some difficulty, the following are some very useful auxiliary resources: Udacity CS212 Design of computer program: The language of instruction is Python, and the

AutowareHttps://github.com/CPFL/Autoware.gitOpen-source software for Urban Autonomous driving"For safe use, we provide a rosbag-based simulation method for those who does not own real autonomous vehicles."Repo for predicting steering WheelHttps://github.com/andrewraharjo/Steering-Model-Processing.gitTensorFlow implementation based on end-to-end learning for self-driving Cars.The Udacity Open source self-driving car projectHttps://udacity.com/self-driv

majority of in-depth courses can only be viewed in silver, but they can be discounted and have coupons. There are also a large number of free courses for beginners to choose! 7. Udacity Udacity is another good resource to enable your coding cognition. Some guiding courses are charged, with dedicated personal instructors to help you develop your skills and potential in the right direction. The key is that b

2100 courses on different topics, including electronic engineering and computer science. Free resources include online textbooks, exams, multimedia content, assignment tasks and projects, and examples. These are the courses actually taught by MIT over the past few decades. Coursera Coursera provides over 108 courses for 600 well-known universities. With Coursera, you can complete a complete set of university courses taught by real university professors online without spending a penny.

also a large number of free courses for beginners to choose! 7. Udacity Udacity is another good resource to enable your coding cognition. Some guiding courses are charged, with dedicated personal instructors to help you develop your skills and potential in the right direction. The key is that browsing their courseware resources is free of charge. 8. Google University Consortium If you want to learn progr

This even children know the era of development of the app, programming is a must-learn function, there is no need to take a boring book where the dead gnawing, but immediately to learn quickly. So we're going to take a look at these free programming resources. 1. Code/racer Code/racer is an online programming game that will force you to quickly program, in the programming game, Code/racer belongs to the Treehouse team has more than 650 teaching video screen, when you complete a course, you wil

Original English: Teach Yourself Deep Learning with TensorFlow Author: Vincent Vanhoucke,google chief Scientist. Translation: Guokai Han. In recent years, deep learning has become one of the hottest topics in the field of machine learning. TensorFlow, as an open source project, is our recently released in-depth learning platform. Our goal is to give everyone the ability to use deep learning techniques. We were excited to have more than 4,000 users fork it on Github in a few weeks, and fans from

Link: oschina.net/news/78629/beginners-how-to-learn-from-zero-artificial-intelligence This is a list of the best learning resources for beginners who want to enter the field of artificial intelligence, but do not know where to start. First, machine learning For the best introduction to the field of machine learning, watch Coursera's Andrew Ng machine learning course. It explains the basic concepts and gives you a good understanding of the most important algorithms. For a brief overview of th

Awesome series Awesome Machine Learning Awesome Deep Learning Awesome TensorFlow Awesome TensorFlow implementations Awesome Torch Awesome Computer Vision Awesome Deep Vision Awesome RNN Awesome NLP Awesome AI Awesome Deep Learning Papers Awesome 2vec Deep learning [Book] Neural Networks and deep learning Chinese Translation (incomplete): Neural network and in-depth learning fifth Chinese translation: [Translate] Chapter Fifth why

Objective:Learn two variable analysis flow by exploring file PSEUDO_FACEBOOK.TSV dataKnowledge Points:1.ggplot syntax2. How to make a scatter chart3. How to optimize scatter plots4. Condition mean value5. Correlation of variables6. Sub-hubs diagram7. SmoothingBrief introduction:If you are exploring a single variable using a histogram to represent the relationship between the value and the whole, then using a scatter plot is more appropriate to explore the relationship between the two variables w

experts from around the world. udemy-Learn the real world skills. Learn how to Program codecademy-free, interactive learning program. stuk.io-Learn how to program from the beginning. Udacity-win the approval of industry leaders. platzi-courses on the design, marketing and programming of live classes. Learnable-the best way to learn web development. Code school-is programmed through practicing learning. THINKFUL-1 1 Coaching to boost your career. code

From Udacity,intro to Hadoop, final Project.The topic requests, from the forum Post's structured data, discovers each user po pastes the most time. For example, user A at 8 points per day, po the most posts, the number marked as X so reducer output is a XTrain of thought: Mapper need to output author_id, reducer to each user to do a {Hour:count} statistics, the last output of the most count hour #mapper #!/usr/bin/python import sys import csv read

This question is one of the problems I encountered when I was learning udacity (a web-based course platform) to learn the Web Development course: The topic is probably to define a ROT13 function, and then convert the input letter to the corresponding 13 position of the letter, such as input hello, output should be urryb, the case is unchanged, the other symbols unchanged. Instinctively think of a corresponding two-tuple list to map: The zip used here,

is the first project of the Udacity course. The idea is to make a comparison of the size of Texas poker.First, you abstract a processing function, which gives the result based on the size of the return value. After we've defined how to compare the sizes of two or more hands, to make it easier to compare sizes, we first preprocess 5 cards and sort them in descending order, as follows: def card_ranks (hand): ranks = ['--23456789tjqka '. INDEX (R) f

Reprint please indicate the source: http://blog.csdn.net/cxsydjn/article/details/70991846 problem (from Udacity machine learning Engineer Nano Degree preview course) Use Python to implement the function Count_words (), which enters the string s and number n, and returns the most frequently occurring words in S. The return value is a tuple list that contains the highest number of n words and their number of occurrences, that is, [( You can assume that