About this Course

This course will teach you how to start from scratch in answering questions about the real world using data. Machine learning happens to be a small part of this process. The model building process involves setting up ways of collecting data, understanding and paying attention to what is important in the data to answer the questions you are asking, finding a statistical, mathematical or a simulation model to gain understanding and make predictions.

All of these things are equally important and model building is a crucial skill to acquire in every field of science. The process stays true to the scientific method, making what you learn through your models useful for gaining an understanding of whatever you are investigating as well as make predictions that hold true to test.

We will take you on a journey through building various models. This process involves asking questions, gathering and manipulating data, building models, and ultimately testing and evaluating them.

Course Cost
Free
Timeline
Approx. 8 weeks
Skill Level
Advanced
Included in Course
  • Icon course 01 3edf6b45629a2e8f1b490e1fb1516899e98b3b30db721466e83b1a1c16e237b1 Rich Learning Content

  • Icon course 04 2edd94a12ef9e5f0ebe04f6c9f6ae2c89e5efba5fd0b703c60f65837f8b54430 Interactive Quizzes

  • Icon course 02 2d90171a3a467a7d4613c7c615f15093d7402c66f2cf9a5ab4bcf11a4958aa33 Taught by Industry Pros

  • Icon course 05 237542f88ede3178ac4845d4bebf431ddd36d9c3c35aedfbd92e148c1c7361c6 Self-Paced Learning

  • Icon course 03 142f0532acf4fa030d680f5cb3babed8007e9ac853d0a3bf731fa30a7869db3a Student Support Community

Join the Path to Greatness

This free course is your first step towards a new career with the Machine Learning Engineer Nanodegree Program.

Free Course

Model Building and Validation

by AT&T

Enhance your skill set and boost your hirability through innovative, independent learning.

Icon steps 54aa753742d05d598baf005f2bb1b5bb6339a7d544b84089a1eee6acd5a8543d

Course Leads

  • Don Dini
    Don Dini

    Instructor

  • Rishi Pravahan
    Rishi Pravahan

    Instructor

What You Will Learn

Lesson 1

Introduction to the QMV Process

  • Learn about the Question, Modeling, and Validation (QMV) process of data analysis.
  • Understand the basics behind each step.
  • Apply the QMV process to analyze on how Udacity employees choose candies!
Lesson 1

Introduction to the QMV Process

  • Learn about the Question, Modeling, and Validation (QMV) process of data analysis.
  • Understand the basics behind each step.
  • Apply the QMV process to analyze on how Udacity employees choose candies!
Lesson 2

Question Phase

  • Learn how to turn a vague question into a statistical one that can be analyzed with statistics and machine learning.
  • Analyze a Twitter dataset and try to predict when a person will tweet next!
Lesson 2

Question Phase

  • Learn how to turn a vague question into a statistical one that can be analyzed with statistics and machine learning.
  • Analyze a Twitter dataset and try to predict when a person will tweet next!
Lesson 3

Modeling Phase

  • Build rigorous mathematical, statistical, and machine learning models to make accurate predictions.
  • Look through the recently released U.S. medicare dataset for anomalous transactions.
Lesson 3

Modeling Phase

  • Build rigorous mathematical, statistical, and machine learning models to make accurate predictions.
  • Look through the recently released U.S. medicare dataset for anomalous transactions.
Lesson 4

Validation Phase

  • Learn fundamental metrics to grade the performance of your models..
  • Analyze the AT&T connected cars data set.
  • See if you can tell the drivers apart by analyzing their driving patterns.
Lesson 4

Validation Phase

  • Learn fundamental metrics to grade the performance of your models..
  • Analyze the AT&T connected cars data set.
  • See if you can tell the drivers apart by analyzing their driving patterns.
Lesson 5

Identify Hacking Attempts from Network Flow Logs

  • Create a program that examines log data and scores the likelihood that a brute force attack is taking place on a server.
Lesson 5

Identify Hacking Attempts from Network Flow Logs

  • Create a program that examines log data and scores the likelihood that a brute force attack is taking place on a server.

Prerequisites and Requirements

This is an advanced course, and the ideal students for this class are prepared individuals who have:

  1. Python programming knowledge, familiarity with python tools like Ipython Notebook and data analysis libraries like Scikit-learn, Scipy, and Pandas
  2. Knowledge of descriptive, inferential, and predictive statistics
  3. Knowledge of calculus, especially derivatives and integrals
  4. Knowledge of basic matrix algebra - matrices, vectors, determinant, identity matrix, multiplication, inverse
  5. Taken Intro to Machine learning and have understanding of common supervised learning and unsupervised learning algorithms, such as SVM and k-means clustering

See the Technology Requirements for using Udacity.

Why Take This Course

Many of you may have already taken a course in machine learning or data science or are familiar with machine learning models.

In this course we will take a more general approach, walking through the questioning, modeling and validation steps of the model building process.

The goal is to get you to practice thinking in depth about a problem and coming up with your own solutions. Many examples we will attempt may not have one correct answer but will require you to work through the problems applying the methods we hope to illustrate throughout this class.

What do I get?
  • Instructor videos
  • Learn by doing exercises
  • Taught by industry professionals
Icon globe e82eae5d45465aba4fbe4bb746905ce55dc3324f310b79c60e4a20089057d347

Udacity 现已提供中文版本! A Udacity tem uma página em português para você! There's a local version of Udacity for you!

前往优达学城中文网站 Ir para a página brasileira Go to Indian Site or continue to Global Site