Machine Learning With Big Data
Get familiar with the machine learning strategies and tools, algorithms, big data etc through the Coursera-offered online course.
Online
2 Weeks
1,699 INR Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Machine Learning With Big Data is an online certification programme administered by the University of California San Diego to help the students explore machine learning with big data concepts. Machine Learning With Big Data Certification Syllabus, developed by Mai Nguyen, the Lead for Data Analytics, and Ilkay Altintas, the Chief Data Science Officer, will give the students a clear understanding of strategies of machine learning for the analysis and exploration of data.
In the Machine Learning With Big Data Certification Course, administered by Coursera, the candidates will learn to build machine learning models with numerous algorithms and tools as well various concepts of big data. Machine Learning With Big Data Certification by Coursera is the fourth in six programmes of the Big Data Specialization.
The Highlights
- Provided by Coursera
- Approximately 2 weeks of programme
- Offered by the University of California San Diego
- Flexible Deadlines
- Self-Paced Learning Option
- Shareable Certificate
- Financial Aid Available
- 100% Online Course
Programme Offerings
- English videos with multiple subtitles
- practice quizzes
- Graded Assignments with peer feedback
- graded Quizzes with feedback
- Graded Programming Assignments
- Course Videos & Readings
- EMI payment options
- 14 day refund period.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Coursera |
The fees for the Machine Learning With Big Data course is :
Fees components | Amount |
1 month | Rs. 1,699 |
3 months | Rs. 3,499 |
6 months | Rs. 5,199 |
Eligibility Criteria
Certification Qualifying Details
The Machine Learning With Big Data Certification will be provided only to the students who successfully completed the programme and covered the course materials, lectures, readings, practical exercises, quizzes, etc.
What you will learn
By the end of the Machine Learning With Big Data Training, the students will build a deep understanding of the following concepts:
- Machine Learning Concepts
- Knime
- Machine Learning
- Apache Spark
- Big data problems analysis with scalable machine learning algorithms on Spark
- Machine learning techniques to prepare data for modelling.
Who it is for
Machine Learning: Regression Classes are a better option for the following professionals:
- Analytics Manager
- Data Scientist
- Developer
- Big Data Analyst
- Business Analyst
Admission Details
Step 1 - First, the students are required to register and sign up on https://www.coursera.org/ to get access to the courses offered by Coursera.
Step 2 - After activating the Coursera account, the candidate can sign in.
Step 3 - Then, the candidate can search the ‘University of California San Diego’ in the search column, and then, the programmes provided by the University of California San Diego will be shown on the screen.
Step 4 - Then, find the course ‘Machine Learning With Big Data’ in the list and click on it.
Step 5- Then, the page of the course will appear on the screen, and then, click on the option ‘enroll’. They enroll in the programme either by the option of ‘Audit Only’ or ‘Purchase Course’.
The Syllabus
Videos
- Welcome to Machine Learning With Big Data
- Summary of Big Data Integration and Processing
Discussion Prompts
- Getting to Know You: Tell us about yourself and why you are taking this course.
- Discussion Forum for Course Content Issues
Videos
- Machine Learning Overview
- Categories Of Machine Learning Techniques
- Machine Learning Process
- Goals and Activities in the Machine Learning Process
- CRISP-DM
- Scaling Up Machine Learning Algorithms
- Tools Used in this Course
Readings
- Slides: Machine Learning Overview and Applications
- Downloading, Installing and Using KNIME
- Downloading and Installing the Cloudera VM Instructions (Windows)
- Downloading and Installing the Cloudera VM Instructions (Mac)
- Instructions for Downloading Hands-On Datasets
- Instructions for Starting Jupyter
- PDFs of Readings for Week 1 Hands-On
Quiz
Machine Learning Overview
Discussion Prompt
- Machine Learning in Everyday Life
Videos
- Data Terminology
- Data Exploration
- Data Exploration through Summary Statistics
- Data Exploration through Plots
- Exploring Data with KNIME Plots
- Data Exploration in Spark
Readings
- Slides: Data Exploration Overview and Terminology
- Description of Daily Weather Dataset
- Exploring Data with KNIME Plots
- Data Exploration in Spark
- PDFs of Activities for Data Exploration Hands-On Readings
Quiz
- Data Exploration
- Data Exploration in KNIME and Spark Quiz
Discussion Prompt
- What's Wrong with Pie Charts?
Videos
- Data Preparation
- Data Quality
- Addressing Data Quality Issues
- Feature Selection
- Feature Transformation
- Dimensionality Reduction
- Handling Missing Values in KNIME
- Handling Missing Values in Spark
Readings
- Slides: Data Preparation for Machine Learning
- Handling Missing Values in KNIME
- Handling Missing Values in Spark
- PDFs for Data Preparation Hands-On Readings
Quizzes
- Data Preparation
- Handling Missing Values in KNIME and Spark Quiz
Discussion Prompt
- Quality Issues with Real Data
- Domain Knowledge in Data Preparation
Videos
- Classification
- Building and Applying a Classification Model
- Classification Algorithms
- k-Nearest Neighbors
- Decision Trees
- Naïve Bayes
- Classification using Decision Tree in KNIME
- Classification in Spark
Readings
- Slides: What is Classification?
- Slides: Classification Algorithms
- Classification using Decision Tree in KNIME
- Interpreting a Decision Tree in KNIME
- Instructions for Changing the Number of Cloudera VM CPUs
- Classification in Spark
- PDFs for Classification Hands-On Readings
Quizzes
- Classification
- Classification in KNIME and Spark Quiz
Discussion Prompt
- Why Exclude Relative Humidity?
Videos
- Generalization and Overfitting
- Overfitting in Decision Trees
- Using a Validation Set
- Metrics to Evaluate Model Performance
- Confusion Matrix
- Evaluation of Decision Tree in KNIME
- Evaluation of Decision Tree in Spark
Readings
- Slides: Overfitting: What is it and how would you prevent it?
- Slides: Model evaluation metrics and methods
- Evaluation of Decision Tree in KNIME
- Completed KNIME Workflows
- Evaluation of Decision Tree in Spark
- Comparing Classification Results for KNIME and Spark
- PDFs for Evaluation of Machine Learning Models Hands-On Readings
Quizzes
- Model Evaluation
- Model Evaluation in KNIME and Spark Quiz
Discussion Prompt
- Model Interpretability vs. Accuracy
Videos
- Regression Overview
- Linear Regression
- Cluster Analysis
- k-Means Clustering
- Association Analysis
- Association Analysis in Detail
- Machine Learning With Big Data - Final Remarks
- Cluster Analysis in Spark
Readings
- Slides: Regression
- Slides: Cluster Analysis
- Slides: Association Analysis
- Description of Minute Weather Dataset
- Cluster Analysis in Spark
- PDFs of Cluster Analysis in Spark Hands-On Readings
Quizzes
- Regression, Cluster Analysis, & Association Analysis
- Cluster Analysis in Spark Quiz
Discussion Prompt
- Clustering Applications
- Applications of Association Analysis
Instructors
UC San Diego Frequently Asked Questions (FAQ's)
The instructors of the course are Mai Nguyen, the Lead for Data Analytics, and Ilkay Altintas, the Chief Data Science Officer.
The programme can be completed within approximately 2 weeks.
The subtitles are provided in the languages of Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, English, and Spanish.
Yes, the students can pay the fee in the installment mode.
University of California San Diego is offering the course.