- Basics of Probability
- Basics of Statistics
- What is ML & AI
- Home
- Skill Lync
- Courses
- Machine Learning Fundamentals in Depth
Beginner
Online
12 Weeks
Quick facts
particular | details | |
---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course and certificate fees
certificate availability
certificate providing authority
The syllabus
Week 01 - Basics of Probability and Statistics
Week 02 - Basics of Machine Learning (ML) & Artificial intelligence(AI)
- Introduction to Normal Distribution & Standard Normal Distribution An introduction
- to business moments
- Artificial Intelligence
Week 03 - Supervised Learning - Prediction
- Introduction to supervised learning
- What is linear regression?
- One hot encoding
- Cost function and gradient descent
Week 04 - Supervised Learning - Classification
- Introduction to classification problems
- What is logistic regression?
- Cost function and gradient descent
Week 05 - Supervised Learning - Classification
- Decision tree
- Entropy
- Information gain
Week 06 - Random forest & Model Evaluation
- Random Forest
- Bootstrapping and majority rule
- Evaluation of classifiers
Week 07- Supervised Learning - Classification
- Support Vector Machines
- Mathematical intuition behind SVM
- How SVM is different from other classifiers
Week 08 - Supervised Learning - Classification
- K-Nearest Neighbour
- Lazy Algorithm
- Single-layer Neural Network
Week 09 - Unsupervised Learning - Kmeans
- What is clustering
- Why clustering is important
- Kmeans and elbow curve
Week 10 - Unsupervised Learning - Hierarchical
- Hierarchical Clustering
- Dendrogram
- Evaluation of clustering algorithms
Week 11 - Unsupervised Learning - PCA
- Feature Selection
- Principal Component Analysis
- Mathematical intuition behind PCA
Week 12 - Supervised Learning - Classification
- An Artificial Neural Network
- Deep learning
- Different activation functions
- Understanding back propagation
Articles
Popular Articles
Latest Articles
Similar Courses
Machine Learning Algorithms
Great Learning
Python for Machine Learning
Great Learning
Data Engineering and Machine Learning using Spark
IBM via Coursera
How Google does Machine Learning
Google via Coursera
Machine Learning Introduction for Everyone
IBM via Coursera
Machine Learning for All
University of London, London via Coursera
Fundamentals of Machine Learning
Board Infinity
Managing Machine Learning Projects
Duke University, Durham via Coursera
Fundamentals of Machine Learning for Healthcare
Stanford via Coursera
Managing Machine Learning Projects with Google Clo...
Google via Coursera
Courses of your interest
C++ Foundation
PW Skills
Data Science Foundations to Core Bootcamp
Springboard
User Experience Design And Research
UM–Ann Arbor via Futurelearn
Data Analysis with Excel for Complete Beginners
CloudSwyft Global Systems, Inc via Futurelearn
Artificial intelligence Design and Engineering wit...
CloudSwyft Global Systems, Inc via Futurelearn
Data Science Fundamentals on Microsoft Azure
CloudSwyft Global Systems, Inc via Futurelearn
Artificial Intelligence Projects
Great Learning
Software Testing Tutorial
Great Learning
More Courses by Skill Lync
C Programming for Telecom Engineers
Skill Lync
Introduction to Automotive Electronics
Skill Lync
Reinforced Cement Concrete Design
Skill Lync
Construction Planning using Primavera P6
Skill Lync
Business Analyst Fundamentals for Beginners
Skill Lync
Roadway Design with OpenRoads
Skill Lync