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Deep Learning - Neural Networks (DL001)
DSG
Deep Learning - Neural Networks (DL001)
This course is an introduction to Neural Networks which will help you know the basic architecture and learn about topics like CNN & RNN.

Topics in this course -
Neural Networks: Introduction
Perceptron/Neurons Layers
Neural Network structure
Forward...
Deep Learning - Sequence Model & Advance NLP (DL002)
DSG
Deep Learning - Sequence Model & Advance NLP (DL002)

This course is to learn about the sequence models and concepts in deep learning which will help in solving advance NLP problems

Introduction to NLP (ML003)
DSG
Introduction to NLP (ML003)
This course is an introduction to basic concepts of NLP and its implementation in Python. The course has 3 parts -
Introduction - Definition and concepts of different techniques and terminologies used in all NLP applications
Sentiment Analysis -...
MLflow - Introduction (MLWF)
DSG
MLflow - Introduction (MLWF)
Apache Spark (SPark101)
AEG
Apache Spark (SPark101)

Introduing the most powerful data processing framework.

Intermediate Statistics (STAT 2)
DSG
Intermediate Statistics (STAT 2)

Correlation

Linear , Logistic and Time Series Regression

Cluster Analysis

Decision Tree

Factor Analysis & PCA

ML - 1 in Python (STAT1-clone)
BAG/ DSG
ML - 1 in Python (STAT1-clone)

Introduction to Statistics

Basic concepts

Probability Theory

Descriptive Statistics

Distributions

Hypothesis

Exploratory Data Analysis

Linear Regression

Logistic Regression

A/B Experimentation (Campaign Management)
DSG
A/B Experimentation (Campaign Management)
ACIS Training Testing
BAG/ DSG/ AEG
ACIS Training Testing

ACIS Training – Principals and above
Delivery Team
ACIS Training – Principals and above

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