coursera vs datacamp

You can access the Google drive containing all of the current and in-progress lecture slides for this course through the L Ink below. Lecture Slides You could find it helpful to either bookmark this page or download the slides for easy

This section describes the core of machine learning, the fundamental problem-the feasibility of learning. As we all know about machine learning, the ability to measure whether a machine learning algorithm is learning is not how the model behaves on

Extremely light of a semester finally passed, summer vacation intends to learn the big step down this machine learning techniques.The first lesson is the introduction of SVM, although I have learned it before, but I heard a feeling is very rewarding.

This section is about overfitting, listening to the understanding of overfitting more profound than before.First introduced the overfitting, the consequence is that Ein is very small, and eout is very large. Then the causes of overfitting are

This section is about regularization, in the optimization of the use of regularization, in class when the teacher a word, not too much explanation. After listening to this class,To understand the difference between a good university and a pheasant

-Feature ScalingWhen we are faced with multidimensional feature problems, we need to ensure that the multidimensional features have similar scales, which will help the gradient descent algorithm to converge faster.Take the housing price forecast

-Cost functionFor the training set and our assumptions, we will consider how to determine the coefficients in the assumptions.What we are going to do now is to choose the right parameters, and the selection of parameters directly affects the

Vi. Logistic Regression (Week 3)-ClassificationIn the classification problem, what we try to predict is whether the result belongs to a certain class (for example, correct or error). Examples of classification problems include determining whether an

Anomaly Detection and Recommender SystemsThis week's programming job is divided into two parts: anomaly detection and referral system.Anomaly Detection: The essence is to use the Gaussian distribution of the sample to the special value to estimate

The origin of Neural network Considering a nonlinear classification, when the number of features is very small, the logical regression can be completed, but when the feature number becomes larger, the higher order term will be exponential growth,

Building your recurrent neural network-step by step Welcome to Course 5 ' s-A-assignment! In this assignment, you'll implement your The recurrent neural network in NumPy. Recurrent neural Networks (RNN) are very effective for Natural Language

The recent Wunda study of the five-door sequence model finally came out, I took some time, just completed the course, I have to say, Ng's fifth Class I am still very satisfied with the video and the work is very good, the job content is also very

1. How to become a better learner metaphor and analogy helps to learn without jealousy genius 1. How to become a better learner the biggest gift for your brain is exercising more. we used to think that the brain was basically stereotyped after

learn the R language in a similar rstudio environment.In an interactive learning environment, you can choose to participate in Coursera (https://www.coursera.org/specializations/jhu-data-science) or edx (https://www.edx.org/ course/introduction-r-programming-microsoft-dat204x-0) on the MOOC course.In addition to the above online resources, you can also consider the following excellent resources: Cran Free teaching R language (https://cran.r-

A school that forgets to praise too much and stays in a crowded classroom all day is a poor result. These sites and applications cover countless topics in science, art, and technology. They can teach you to practice any skill, from making red bean paste to using node.js to develop apps, and they're all free. There is absolutely no reason why you should not master a new skill, broaden your knowledge, or ultimately contribute to your career development. You can learn interactively in your own comf

covers almost every aspect of your life and expands your horizons ted.comcoursera--in collaboration with some of the world's leading universities, Coursera offers many free online courses https://www.coursera.org/umano--collection of most live audio sites, if you like live audio, you can also choose Brain pickingudacity--offers high-quality online interactive courses www.udacity.com/3, even at home, can enjoy the treatment of top schoolsITunes u--The

Programmer Development Guide and programmer Guide A solid foundation in computer science is an important condition for a successful software engineer. This Guide provides programming knowledge learning paths for students who want to enter academic and non-academic fields. You may use this guide to select a course, but ensure that you study the professional course to complete graduation. The online resources provided in this Guide cannot replace your college courses... Instructions for use: 1. Pl

interested in development. The recommendation of a preparatory style Introduction to Computer Science Description: A computer science introduction is the basic content of the introduction of coding.Online resources: Udacity–intro to CS Course, Coursera–computer Science 101 Learn at least one object-oriented programming language: C + +, Java, or Python Beginner Online Resources: Learn to Program:the Fundamentals, MIT I

4 tips on how to use this Learning guide: Please consider your own actual situation to learn. If you still want to learn about other courses outside the guide, go ahead! This guide is for informational purposes only, and there is no guarantee that you will be able to enter Google work even after you have completed all of the courses. This guide is not updated regularly. You can follow Google for Students +page on Google + for more information at any time. The recommen

Cheat sheet for Jupyter Notebook, sheetjupyter Recently, DataCamp released the cheat sheet of jupyter notebook. [Python data path] I will share with you the contents of this cheat sheet as soon as possible. Part of the cheat sheet is as follows: You can obtain the pdf version of the cheat sheet from the DataCamp website. Of course, I have moved the pdf file back. To obtainPdf of jupyter