Machine Learning Deep Dive Training

Live Online & Classroom Enterprise Training

A rigorous and engaging deep dive into statistics and machine-learning.

Looking for a private batch ?

Enterprise Reporting
Lifetime Access
CloudLabs
24x7 Support
Real-time code analysis and feedback

What is Machine Learning Deep Dive Course about?

This course introduces supervised and unsupervised techniques for machine learning. We will cover both probabilistic and non-probabilistic approaches to machine learning. The focus will be on classification and regression models, clustering methods, matrix factorisation and sequential models. Techniques covered in this course include linear and logistic regression, support vector machines, boosting, K-means clustering, mixture models, expectation-maximization algorithm, and hidden Markov models, among others. Please see the course outline below for a more detailed description of the contents of this course.

What are the objectives of Machine Learning Deep Dive Course ?

Descriptive statistics (mean, variance, etc)
Inferential statistics
T-tests, correlation, ANOVA, regression, clustering
The math behind the "black box" statistical methods
How to implement statistical methods in code
How to interpret statistics correctly and avoid common misunderstandings

Who is Machine Learning Deep Dive Course for?

Taking statistics or machine learning courses
Professionals who need to learn statistics and machine learning
Scientists who want to understand their data analyses
Anyone who wants to see "under the hood" of machine learning
Artificial intelligence (AI) students
Business intelligence students

What are the prerequisites for Machine Learning Deep Dive Course?

Calculus
Linear algebra
Probability and statistical concepts
Coding and comfort with data manipulation

Available Training Modes

Live Online Training

80 Hours

Self-Paced Training

80 Hours

Course Outline Expand All

Expand All

Module 1: Machine Learning Course: Getting Started

Module 2: Maximum Likelihood

Module 3: Regression

Module 4: Classification

Module 5: Extended Classification

Module 6: Unsupervised Learning

Module 7: Extended Unsupervised Learning

Module 8: PCA and Markov Models

Module 9: HMM and State-space Models

Module 10: Association Rules and Model Selection

Who is the instructor for this training?

The trainer for this Machine Learning Deep Dive Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Reviews

My outlook on training changed completely after attending SpringPeople BPC training. The content, the trainer and infrastructure at SpringPeople were top notch and perfectly in tune with the industry requirements. Regardless to say, training is now something that I look forward to to. Kudos to everyone at SpringPeople!

Shweta Priya

Sony

I attended the 3-day AngularJs training at SpringPeople. The trainer was an industry veteran with vast experience in the subject. Notably, the hands-on training, and the Q&A session stood out. Overall, I found SpringPeople a great place to learn with excellent facilities and great trainers. Would recommend SpringPeople to my colleagues and friends.

Swati Singh

I attended the training on API Design for Mulesoft. The sessions were well planned and value-laden. I benefited immensely from the hands-on experience enabled through virtual labs. I would like to specifically commend the efficiency of the support team who were always available to resolve my concerns.

Nikhil Kohli

Stryker

I attended the jQuery training batch, conducted by Mr. Vijay, an SME who did a thorough coverage of all the essentials. He took us through concepts such as jQuery animations, event handlers, plugins, and jQuery-UI by small programs, very easily. The sessions were useful and well structured. By the end of the training, I was well equipped to develop a SPA on Product Management System. Overall, the learning experience at SpringPeople was great!

Heena Rajan

Mindtree