Machine Learning Training

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Presentation Description

Machine Learning Training provides advanced level knowledge on Machine Learning applications and counts. It will give you hands-on experience in various, incredibly searched for machine learning skills in both controlled and unsupervised learning.

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Machine Learning Training:

Machine Learning Training Let’s Get Started!

Description:

Description Machine Learning Training provides advanced level knowledge on Machine Learning applications and counts. It will give you hands-on experience in various, incredibly searched for machine learning skills in both controlled and unsupervised learning.

Objectives:

Objectives Categorize the types of learning including supervised and unsupervised Perform supervised learning methods: linear and logistic regression Recognize classification data and models Recognize the several applications of machine learning systems Use unsupervised learning algorithms including clustering, deep learning, and recommendation systems Use machine learning with Spark

Benefits:

Benefits Simplifies Product Marketing and Assists in Accurate Sales Forecasts Facilitates Accurate Medical Predictions and Diagnoses Simplifies Time-Intensive Documentation in Data Entry Improves Precision of Financial Rules and Models Easy Spam Detection Increases the Efficiency of Predictive Maintenance in the Manufacturing Industry Better Customer Segmentation and Accurate Lifetime Value Prediction Recommending the Right Product

Prerequisites:

Prerequisites This course will be performed in python / R, hence we have an introduction to these languages in the program itself.

This course is appropriate for::

This course is appropriate for: Working professionals who want to work in machine learning Software professionals looking for a career switch into the field of analytics Data Science professionals who already have experience in R or Python Graduates looking to build a career in Data Science and machine learning Experienced professionals who would like to harness machine learning in their fields to get more insight about clients Professionals working in ecommerce, search, and other online consumer based organizations

Topics:

Topics Introduction to Machine Learning 15:45 Walking with Python or R Machine Learning Techniques 13:47 Supervised Learning 15:05 Supervised Learning - Regression 15:05 Unsupervised Learning Unsupervised Learning - Clustering Unsupervised Learning – Deep Learning Spark Core and MLLib

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