Machine Learning is another subset of Artificial Intelligence (AI), Information Technology, and Computer Science that focuses on manipulating data and algorithms to mimic the learning process of the human being and enhance the accuracy of the learning process.
Machine Learning is another subset of Artificial Intelligence (AI), Information Technology, and Computer Science that focuses on manipulating data and algorithms to mimic the learning process of the human being and enhance the accuracy of the learning process.
We have already entered into a new era of science and technology where branches like AI, NL (Machine Learning), Deep Learning, Neural Network, and Natural Language Processing have started shaping our personal and professional life in a new manner. Knowing about the best practice of ML is now being considered compulsory for IT and Business people.
Prerequisites
Participants of this course must have some basic knowledge of high-level programming languages like Python.
You are required to have a fundamental knowledge of statistics and high-school mathematics.
What will you gain after this course
With the help of Machine Learning, you can quickly identify the patterns and trends of ML.
The implementation of ML can ensure continuous improvement of the business process and explore a wide range of applications that are relevant to the business process.
It is possible to execute rapid analysis prediction and processing with the help of Machine Learning.
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Software developers and software engineers with a basic knowledge of Python. Data Scientists, Data analysts and Business Intelligence professionals who are new to Python. Developers, engineers, researchers and analysts who want to start learning about Artificial Intelligence and related concepts.
Join us as we explore the world of Machine Learning (ML) using Python! The course is designed for individuals who wish to advance their careers in Data Science or get started in Machine Learning.
The course is aimed at delegates with a Mathematical and/or Data Science/ML background. Good programming knowledge, especially using the Python programming language. Some experience and familiarity with the Pandas, Numpy and MatPlotLib python libraries for data analysis.
In this course, you will learn how to develop ML (Machine Learning) models to resolve business issues with the help of Google Cloud technologies which are widely used to design ML models.
Machine learning is one of the most exciting and dynamic fields in the world of data science. Everything from smartphones to autonomous cars, improved healthcare and climate prediction are built on these powerful set of tools for generating useful predictions from data.
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