Data and Machine Learning Fundamentals
Machine learning is the field of study that gives computers the ability to learn without being explicitly programmed, Machine learning making a prediction based on data and understand machine learning’s role in data-driven modeling, prediction, and decision-making.
Deep Learning using Tensorflow and Cloud AI
This course is the third course in “Machine Learning and AI” learning path. It has been designed and developed for providing exposure to participants in Deep Learning, Implement Convolutional Neural Networks, Tensorflow, Keras and Cloud AI using Google Cloud
Scalable Machine Learning
This course has been designed and developed for providing exposure to participants in Scalable Machine learning. Cloudera Hadoop and Spark Frameworks being used for implementing Scalable Machine Learning Algorithms using Scala/Python programming language.
Building Recommendation Engine using Python
This course focuses on building Recommendation Engine using Python programming language. It provides an introduction to Recommendation engine, ways to build it using various options like neighbourhood based, model based ..
Pragmatic Machine Learning
R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation and R is widely used among statisticians and data miners and it rapidly becoming the leading language in data science and statistics
Machine Learning Using Tensorflow v2
R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation and R is widely used among statisticians and data miners and it rapidly becoming the leading language in data science and statistics
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Scalable Machine Learning
Deep Learning using Tensorflow and Cloud AI
Data and Machine Learning Fundamentals
