Machine Learning

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?

  • 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
    • Text mining and NLP


Deliverables

Internationally Recognized Course Completion Certificate

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Deep Learning Module


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• Instructor-led training from an expert
• Real Time Application training and hands-on practice
• Instructor-led training from an expert
• Real Time Application training and hands-on practice

Job Opportunity

  • 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

AVERAGE MACHINE LEARNING JOB SALARY PER ANNUM BY EXPERIENCE – INDIA

0-5 years
5,675085
5-10 years
6,817772
10-20 years
7,646100
20 years or more
9,493907

Source: Payscale

Who Can Enroll?

Graduates from Engineering, Computer science, Statistics, Economics, Management stream etc., who are looking at building their career in data science and Machine Learning. Programming Developers, Analytic Professionals, Information Architects, Business Analyst etc., will benefit from Machine Learning in harvesting deeper insights, especially from big data.

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