Advanced Machine Learning and Signal Processing by IBM via Coursera: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based

Course overview

The online program on Advanced Machine Learning and Signal Processing by Coursera is a part of the series of programs that are offered in the domain of “advanced machine learning and signal processing”. The Advanced Machine Learning and Signal Processing training is part of the courses that are offered by IBM on advanced data science specialization. In the course, the frameworks for python using SparkML and Scikit-Learn will be introduced. The Advanced Machine Learning and Signal Processing certification syllabus will be covered on the digital platform within a time frame of 28 hours.

Course and certificate fees

Advanced Machine Learning and Signal Processing fee for the enrollment is free for 7 days only.

Advanced Machine Learning and Signal Processing Fee Structure

Particulars	Fee Amount in INR
Advanced Machine Learning and Signal Processing - Audit course	Free
Advanced Machine Learning and Signal Processing - 1 month	Rs.4,018/-
Advanced Machine Learning and Signal Processing - 3 months	Rs.8,037 /-
Advanced Machine Learning and Signal Processing - 6 months	Rs.12,056 /-

certificate availability

Yes

certificate providing authority

Coursera +1 more

Eligibility criteria

Certification Qualification Details

Candidates will qualify for the Advanced Machine Learning and Signal Processing certificate only after they complete the course in the stipulated time. The students will receive both a Coursera certificate and an IBM batch.

What you will learn

Machine learning

The students will learn about the following after they complete the Advanced Machine Learning and Signal Processing online course-

The candidates will be studying the applications of signal decomposition.
The chapters of wavelet transform will be covered in detail.
Applicants will have their skills developed in the genre of SVM demo.
In the Advanced Machine Learning and Signal Processing certification syllabus the students will cover the chapter of systemML.
Candidates will further be studying the working mechanisms of logistic regression.

The syllabus

Week 1: Setting the stage

Videos

A warm welcome
Linear algebra
High dimensional vector spaces
Supervised vs. unsupervised machine learning
How ML pipelines work
Introduction to sparkML
What is systemML (1/2)?
What is systemML (2/2)?
How to use apache systemML in IBM watson studio
Extract - transform - load

Readings

Object Store
IMPORTANT: How to submit your programming assignments
Hands-on Lab: Sign Up for IBM Cloud Account

Practice Exercises

Machine Learning
ML Pipelines

Week 2: Supervised Machine Learning

Videos

Linear Regression
LinearRegression with Apache SparkML
Linear Regression using Apache SystemML
Batch Gradient Descent using Apache SystemML
The importance of validation data to prevent overfitting
Important evaluation measures
Logistic Regression
LogisticRegression with Apache SparkML
Probabilities refresher
Rules of probability and Bayes' theorem
The Gaussian distribution
Bayesian inference
Bayesian inference - example
Maximum a posteriori estimation
Bayesian inference in Python
Why is Naive Bayes "naive"
Support Vector Machines
Support Vector Machines using Apache SparkML
Crossvalidation
Hyper-parameter tuning using GridSearch
Decision Trees
Bootstrap Aggregation (Bagging) and RandomForest
Boosting and Gradient Boosted Trees
Gradient Boosted Trees with Apache SparkML
Hyperparameter-Tuning using GridSeach and CrossValidation in Apache SparkML on Gradient Boosted Trees
Regularization

Reading

Classification evaluation measures

Practice Exercises

Linear Regression
Splitting and Overfitting
Evaluation Measures
Logistic Regression
Naive Bayes
Support Vector Machines
Testing, X-Validation, GridSearch
Enselble Learning
Regularization

Week 3: Unsupervised Machine Learning

Videos

Introduction to Unsupervised Machine Learning
Introduction to Clustering: k-Means
Hierarchical Clustering
Density-based clustering (Guest Lecture Saeed Aghabozorgi)
Using K-Means in Apache SparkML
Curse of Dimensionality
Dimensionality Reduction
Principal Component Analysis
Principal Component Analysis (demo)
Covariance matrix and direction of greatest variance
Eigenvectors and eigenvalues
Projecting the data
PCA in SystemML

Reading

Reading on Clustering Evaluation and Assessment

Practice Exercises

Clustering
PCA

Week 4: Digital Signal Processing in Machine Learning

Videos

Signal decomposition, time and frequency domains
Fourier Transform in action
Signal generation and phase shift
The maths behind Fourier Transform
Discrete Fourier Transform
Fourier Transform in SystemML
Fast Fourier Transform
Nonstationary signals
Scaleograms
Continous Wavelet Transform
Scaling and translation
Wavelets and Machine Learning
Wavelets transform and SVM demo

Practice Exercises

Fourier Transform
Wavelet Transform

Admission details

Filling the form

For getting selected for the course the students will have to visit the official site of the Advanced Machine Learning and Signal Processing online course.

Step 1: Candidates are requested to visit the official course URL.

Step 2: In the next step the students have to click the button titled “enrol” to begin the process of learning.

Step 3: But they have to create a registered account id to log in and access the course.

Step 4: After successfully signing up, candidates will be required to make the fee payment and enrol for the programme.

Step 5: After successfully paying the amount, they can start learning.

Scholarship Details

Financial aid is available but the amount has not been specified.

How it helps

The Advanced Machine Learning and Signal Processing certification benefit the students by providing them with a double certification from Coursera and IBM. The course is being offered and will be conducted by professionals from IBM. The Machine learning certificate that the students will be rewarded with can be shared by the students on various platforms for securing better job opportunities and career options. To make the course more approachable the registration fee for the course has been made free and also a free trial period for seven days has been offered. Later the candidates need to pay a nominal fee to continue further if they find it apt after the trial period ends.

Instructors

Mr Romeo Kienzler
Data Scientist
IBM

Other Masters

FAQs

By whom will the classes be conducted?

The classes in the Advanced Machine Learning and Signal Processing online course will be conducted by professionals from IBM.

What is the total duration of the course?

The course will be held for a total period of 28 hours on the digital platform.

What is the course level?

The Advanced Machine Learning and Signal Processing training is an advanced level program.

Are subtitles available in the session?

Yes, subtitles on multiple languages are available in the Advanced Machine Learning and Signal Processing course.

Where can the students apply for the course?

The students can apply for the Advanced Machine Learning and Signal Processing certification course from the main website of Coursera or from the program URL.