What's the Course about
Machine Learning is a technique behind innovations such as facial recognition, self-driving cars, predictive results in search, Predictive text etc. It is playing a significant role in developing new algorithms which permits software application to predict/achieve accurate results without being explicitly programmed.
Machine Learning is implemented where programming or developing an efficient algorithm is problematic or not feasible. Machine Learning is revolutionizing the computing ecosystem.
Course Objective
The objective of this training program is to understand how machines can learn from its past experience which is considered as the core of AI. We focus on creating strong fundamental knowledge sets on building algorithms by mastering the principles of statistical analysis.
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Technology Partners
WHY LIVEWIRE?
GCC
Global Competency Certification (GCC) which will add value in Resume
CERTIFIED FACULTIES
All our trainer are Certified in their Products. B2E certified Industry experienced faculty. They ensure students are benefited with in depth practical training.
PLACEMENT OPPORTUNITY
LIVEWIRE is in association with 250+ corporates, who grab candidates from our centres when they match their job requirement. We offer all these opening to the students. They will be able to directly apply for the openings through our Student Portal.
Corporate Style Training
Individual Focus
Quality Training From Experts
Learn the Required Skill
WHAT WILL I LEARN?
- Introduction to Machine Learning
- Programming with R
- R based projects development
- Programming with python
- Python based projects development
- Statistics Essentials
- Knowledge extraction using Statistics Essentials
- Pre program preparation
- Text mining and NLP
- Supervised Learning
Classification Algorithms
- Decision Tree
- GINI
- Entropy
- KNN
- SVM
- Naïve Bayes Classifier
- Artificial Neural Network
Regression Algorithms
- Logistic regression
- Regression Analysis
- Linear Regression
- Multiple Linear Regression
- Random Forest
- Poisson Regression
- Lasso & Ridge Regression
- Zero-Inflated Regression
- Multinomial Regression
- Artificial Neural Network
Unsupervised Learning
- Euclidean Distance
- Hierarchical clustering
- k-means clustering
- Manhattan Distance
- k-Medoids
- DBSCAN
- CLARA
- PCA
Deep learning(Neural Networks)
- ANN for Classification
- ANN for Regression
- RNN for higher complexity problems
- RNN for time dependent problems
Data Analysis
- Word cloud
- Web Extraction
- Survival Analysis
- Dimension Reduction
Experienced Faculty
Popular Courses
Guaranteed Career
JOB OPPORTUNITIES!
- Machine Learning Engineer.
- Data Scientist- Machine Learning/NLP.
- Data Engineer- Machine Learning.
- Architect.
- Natural Language Processing Engineer-Machine Learning.
- Machine Learning Software Engineer.
- Data Scientist-Advanced Analytics.
- Data Analyst-Machine Learning.
- Machine Learning Specialist.
- Lead Data Scientist.
- Machine Learning Developer.
- Engineer-Machine Learning.
- Artificial Intelligence Expert.
- Consultant.
- Research Engineer.
- Software Engineer-Machine Learning.
- Manager-Machine Learning & Analysis.
- Research Scientist/Applied Research Scientist.
- Distributed Systems Engineer.
- Data Visualizer.