Machine Learning Training


Who We Are

Prime Bit Solutions is a trusted institute offering the best Telecom Training Courses for Freshers, RF Engineers, OSS & BSS Engineers, Optimization Engineers, O&M Engineers & Technical support Engineers. We collaborate with partners who recognize the value we bring to Telecom Domain. We offer industry standard Telecom Training to our students, which includes comprehensive study material and real time simulations. Primebit believes in empowering the youth by making them strong not only in concepts but also providing hands-on experience in addressing real-time issues. Considering the importance of the telecom industry, Primebit commits to high standards of integrity in contributing to the best interests of students, and Telecom professionals. We thoroughly understand the need to have a solid foundation of concepts in wireless and wireline technologies. Primebit offers training on concepts by real time experts who have vast industry experience; the training program is affordably priced and is guaranteed to benefit all the current and prospective engineers in telecom domain.


What We Do

We thoroughly understand the need to have a solid foundation of concepts in wireless and wireline technologies. We offer telecommunication training and telecom testing training to our students, which include comprehensive study material and real time simulations. Considering the importance of the telecom industry, Primebit commits to high standards of integrity in contributing to the best interests of students, Telecom professionals. We collaborate with partners who recognize the value we bring to Telecom Domain.

Goal of Course

Good understanding of Different technologies- UMTS, HSDPA,HSUPA,HSPA+, LTE, LTE Advance, IMS, Voip, SIP and Bluetooth
Expertise Access and Non-Access stratum modules (Layer3/Layer2/layer1) mandatory for 2G/3G /4Gprotocol stack modules.
Expertise in RRM, RRC, RLC/MAC, MM, SNDCP, SPV, SNDCP, Layer2, etc
Very good overview of relevant module specifications Good experience understanding and decoding the 3GPP
Understanding of Call Processing concepts in one or more of the following air interface standards LTE(FDD or/and TDD) or HSDPA/ HSUPA/HSPA+,GSM/ GPRS /EDGE / Rel99/ Rel5 /rel8/rel9
Expertise in analyzing logs, troubleshooting issues from field or lab for UMTS/GSM CS, PS calls, LTE Data calls, VoLTE, eMBMS
Excellent knowledge in 2G/3G/4G 3GPP system architecture, protocol specifications and related procedures in control and data plane on Non-Access, Acces-Stratum and Layer 1 level
Good understanding of of PS internal component architecture and interconnection of PS sub-components to meet the requirements of the system for Multimode Protocol Stacks
Monitor and support 3GPP UMTS/LTE related standards and standardization work
Expertise in scripting languages C language/ Unix & Linux

Target Audience

Freshers, RF Engineers,OSS & BSS Engineers, Optimization Engineers, O&M Engineers & Technical support Engineers who have wish to shift their career into Wireless Chip Development.

Prerequisites

It is strongly recommended that candidates must have basic idea of C programming and Wireless concept.

Introduction to Machine Learning

Basic concepts of Machine Learning and History


REGRESSION

Simple Linear Regression


Multiple Linear Regression


Polynomial Linear Regression


Support Vector Regression


Decision Tree Regression


Random Forest Regression


Classification

Logistic Regression


K-Nearest Neighbors


Support Vector Machine


Kernel SVM


Native Bayers


Decision Tree Classification


Random Forest Classification


Clustering

K-Means Clustering


Hierarchical Clustering


Reinforcement Learning

Upper Confidence Bound


Thompson Sampling


Natural Language Processing

Language Processing


Deep Learning

Artificial Neural Networks


Convolutional Neural Networks


Recurrent Neural Networks


Self-Organizing Maps


Boltzmann Machines


Auto Encoders


Dimensionality Reduction

Principal Component Analysis


Linear Discriminant Analysis


Kernel PCA


Model Selection & Boosting

Model selection


XGBoost


Time Series Analysis

Trends & Seasonality


ARIMA,GARCH


Date Session Type Timing
June 02 Online
June 02 Weekend Online Batch
June 02 Class Room

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