Machine Learning Training
- Offered bySSDN Technologies
Machine Learning Training at SSDN Technologies Overview
Duration | 50 hours |
Total fee | ₹5,000 |
Mode of learning | Online |
Credential | Certificate |
Machine Learning Training at SSDN Technologies Highlights
- Earn a certificate after successful completion
- Learn from Live Projects and Mock Test
- Learn from Certified Trainer
- 100 % placement support.
- Get 24*7 Mentoring
Machine Learning Training at SSDN Technologies Course details
- For Developers who aspires to become data scientists or Machine Learning Engineers.
- For Analytics Manager, leading a team of analysts.
- For Business analysts who wants to learn data science methods.
- For Information architects who wishes to become an expert in ML algorithms.
- For Analytics professionals who want to make a career in Machine Learning or Artificial Intelligence.
- For Graduates looking to make a prosperous career in machine learning and data science.
- For Experienced professionals who wish to learn and implement ML in their respective fields to get more understandings
- Learner will be introduced to Machine Learning and Real-time Applications
- Learner will do mastery on the concepts of supervised, unsupervised and reinforcement learning ideas modelinglling
- Learner will gain practical knowledge of principles, algorithms, and applications of Machine Learning through a hands-on approach that includes several live projects
- Thorough knowledge of the mathematical and heuristic aspects of ML
- Basic understanding of the concepts and operation of support vector machines, K-nearest neighbors, K-means clustering, kernel SVM, decision tree classifier, logistic regression, naive bayes, random forest classifier, and many more
- Learning of the theoretical concepts and how the practical concepts of ML are related to it
- Learner will be able to model a wide variety of robust Machine Learning algorithms that also include clustering, deep learning and recommendation systems
- Machine learning course is designed by industry experts which is a subset of Artificial Intelligence and that automates data analysis to help computers in learning and adapting through experience to do particular tasks without the need of explicit programming
- Starting from introduction to Master concepts and techniques, this industry specific machine learning training course at SSDN
- Technologies include mathematical and heuristic aspects, supervised and unsupervised learning, and also hands on modelling to develop algorithms that will help the learner to prepare for the role of Machine Learning Engineer
Machine Learning Training at SSDN Technologies Curriculum
MODULE 1. INTRODUCTION TO MACHINE LEARNING
Need of Machine Learning
Introduction to Machine Learning
MODULE 2. SUPERVISED LEARNING & LINEAR REGRESSION
Introduction to supervised learning
Types of supervised learning
MODULE 3. CLASSIFICATION & LOGISTIC REGRESSION
Introduction to classification
Linear regression vs logistic regression
MODULE 4. DECISION TREE & RANDOM FOREST
Introduction to tree-based classification
Understanding a decision tree
MODULE 5. NAÏVE BAYES & SUPPORT VECTOR MACHINES
Introduction to probabilistic classifiers
Understanding Naïve Bayes
MODULE 6. UNSUPERVISED LEARNING
Types of unsupervised learning
Types of clustering
MODULE 7. NATURAL LANGUAGE PROCESSING & TEXT MINING
Introduction to Natural Language Processing (NLP)
Introduction to text mining
MODULE 8. INTRODUCTION TO DEEP LEARNING
Introduction to Deep Learning with neural network
Biological neural network vs artificial neural network
Machine Learning Training at SSDN Technologies Entry Requirements
- Prerequisites : The fundamentals of Python programming language
- The basics of statistics and mathematics
- Not mentioned
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