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Don't study code, learn to think

good news is that you don't have to wait for code.org to announce that you've started studying computer science. In fact, this is one of the easiest subjects to learn, and you only need a computer and a network cable. I think you are reading this article now, so it is possible that you have both.Here, share some good resources:University Courses Coursera Udacity MIT OpenCourseWare Stanford Engineering Everywhere Academic Eart

Online learning website

. The MIT video-offers over 12,000 lectures/videos covering the fields of mathematics, architecture, art, Chemistry, biology, Humanities, physics, and more. Stanford online-Online learning platform at Stanford University. Harvard Extension School:open Learning initiative-A selection of online course videos from Harvard University. Canvas network-another MOOC platform. Quantum Physics made relatively simple-theoretical physicist Hans Bethe introduces you to

Online learning website

Originated from LinkinLearn the online course if you wantedx--Online to learn the finest courses in the world's top universities. www.edx.org/coursera--learn the best courses in the world, online and free Oh ~ www.coursera.orgcoursmos--Learn micro-courses anytime, anywhere, on any electronic device. Www.coursmos.comhighbrow--A micro course that can be easily digested every day from your email. www.gohighbrow.com/skillshare--Unleash your creativity through online classrooms and projects. Www.skil

Use Python to master machine learning in four steps and python to master machines in four steps

offline workshop, base camp, or university course? Here are some links to online education sites on logical analysis, big data, data mining, and data science: Collection types of dynamic links. We also recommend some online courses-Coursera courses from Udacity: machine learning and Data Processing Analyst tutorial Nanodegree. There are also some blogs about Machine Learning: List tables of refreshing frequently updated blogs. Last, it was an excelle

[Developer benefits] The most comprehensive free material collection and material collection on mobile terminals

[Developer benefits] The most comprehensive free material collection and material collection on mobile terminals In today's surging mobile design, mobile UI and UX designers have a long way to go. Clever women are hard to cook without rice. Good materials are the foundation of designers. The free materials collected on the mobile end are comprehensive, from teaching resources to UI Kit, from development tools to icon collection. Learning Resources UX Design for Mobile Developers The user experie

Learn 11 excellent Python Resources

Learn 11 excellent Python Resources Python is one of the five most popular and easy-to-learn and powerful programming languages to learn Python, whether used for machine learning or web development Pinterest is a case study), Python is a powerful tool. In addition, not only is Python increasingly popular, but the salary of Python programmers is also surging. The average annual salary of Python programmers in North America is as high as 0.1 million USD. For developers who want to learn Python, t

Android Development Technology Weekly ISSUE#28

contains tools that simplify the development of Android. First, Androidschedulers provides a scheduler for the threading system of Android. Need to run some code in the UI thread? Very simple, only need to use Androidschedulers.mainthread (). APP indexing for Google search (ladder required) (@ Beijing GDG)Google uses app indexing to index apps as if they were indexed for the site. A deep link to your Android app appears in Google search results, where users can quickly experience your native

Python Keras module ' keras.backend ' has no attribute ' Image_data_format '

Problem:When you run the sample program MNIST_CNN with Keras, the following error occurs: ' Keras.backend ' has no attribute ' Image_data_format 'Program Path https://github.com/fchollet/keras/blob/master/examples/mnist_cnn.pyThe Python Conda environment used is the carnd-term1 of the Udacity autopilot courseFault Program segment:if ' Channels_first ' : = X_train.reshape (x_train.shape[0], 1, Img_rows, img_cols) = X_test.reshape (x_test.shape[0

Simple Time Reminder Python script

Source: Udacity Programming Basics: Python Course 2Function: Every 30 minutes, open a specific webpage to remind the rest# Coding:utf-8ImportWebBrowserImportTimetotal_breaks= 3Break_count= 0Print "\ nstarted on: " +Time.ctime ()# time.ctime (): Current time (sec) whileBreak_countTotal_breaks:time.sleep ( - * -)# Time.sleep (): Sleep Time (sec), Min Print "\ nBreak time!\ t" +Time.ctime () WebBrowser.Open("https://cn.udacity.com/course/programming-

Programming--Recommended programming Learning website

1.Project Eulerhttps://projecteuler.net/What is Project Euler?Project Euler is a series of challenging mathematical/computer programming problems that'll require more than just mathe Matical insights to solve. Although mathematics would help you arrive at elegant and efficient methods, the use of a computer and programming skills W Ill is required to solve most problems.The motivation for starting Project Euler, and its continuation, are to provide a platform for the inquiring mind to delve into

NVIDIA Update:cuda Week in Review (Spotlight on Deep neural; CUDA 6)

of Alicante) July 21-24, 2014, Alicante, Spain HPCs 2014 July 21-25, 2014, Bologna, Italy (to the list an event, email:cuda_week_in_review@nvidia.com) CUDA Resources Ba

Machine Learning & Statistics Related Books _ machine learning

1. The complete course of statistics all of statistics Carnegie Kimelon Wosseman 2. Fourth edition, "Probability Theory and Mathematical Statistics" Morris. Heidegger, Morris H.degroot, and Mark. Schevish (Mark j.shervish) 3. Introduction to Linear algebra, Gilbert. Strong--Online video tutorials are classic 4. "Numerical linear algebra", Tracy Füssen. Lloyd and David. Bao Textbooks suitable for undergraduates 5. Predictive data analysis of machine learning Basics, John MIT. Kelleher and

TensorFlow Advanced (update ...) __ Other Finishing---NLP

~/cuda_visible_devices=0,1 python your.py# use gpu0,1 # Note that the word should not be wrong #或者在 program opening os.environ[' cuda_visible_devices '] = ' 0 ' #使用 GPU 0 os.environ[' cuda_visible_devices '] = ' 0,1 ' # using GPU 0,1 embedding_lookup () Use of Embedding_lookup ()About the use of Embedding_lookup () in TensorFlow, in Udacity Word2vec will be involved, this article will be popular to explain.Let's look at a simple demo: #!/usr/bin/e

[MapReduce] Correlation between the length of a post and the length of answers

From Udacity,intro to Hadoop, final Project. The topic says to want to know the length of the post has no relevance to the length of the answer Train of thought: Mapper filter out question and answer, output id,type (question, answer), length reducer statistics each ID corresponding question Len and answer Len # Mapper #!/usr/bin/python import SYS import CSV reader = Csv.reader (Sys.stdin, delimiter = "\ T") Next (reader, None) fo R line in

Machine learning Information

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

R language-Explore two variables

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

37 Best Websites to learn new skills __ Data

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

[MapReduce] Find the time (in hours) for each user's favorite PO sticker

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

Python's clear ciphertext conversion

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,

Poker program Python__python

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

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