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.
DurationIn 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.
You will also learn the process of framing ML problems while designing ML models. You will also be able to design and develop solutions for ML Architect, as well. You will learn about how to process and prepare data to configure, enhance and troubleshoot ML solutions.
Through the subject matter of this course, you will learn about the techniques of processing data, including the deployment of Simple Linear, Multiple Linear, and Polynomial Regression. You will be able to configure the process of clustering data.
Here, you will also earn adequate knowledge and skills to start working on NLP (Natural Language Processing) and Deep Learning. You will also learn about the process of model boosting and model selection.
Prerequisites
There is no particular prerequisite mentioned to get enrolled in this course.
It is ideal if you have prior experience of working with ML, but not required.
It is expected that you are familiar with the ML Data model and ML Architect.
It would be better if you have the fundamental knowledge about Data Clustering and NLP (Natural Language Processing)
It is also expected that you are familiar with supervised learning and unsupervised learning.
What will you gain after this course
You can develop ML models to train the ML architecture with a particular set of data.
You will learn the details about Data Clustering
You will be able to work on ML solutions
You will earn adequate knowledge and skills on Deep Learning and NLP
You will also be able to develop ML solutions using different types of the data regression model
Welcome to the London IT Training (LIT). As one of London’s leading IT Training organisation we specialise in the design, delivery and evaluation of a wide range of IT and Professional Development training programmes to ensure we meet the needs of both the organisation and individuals.
We offer a spectrum of courses that have been designed by experts to give you the most sought after IT skills within the UK jobs market. Each of our course paths deliver multiple industry accredited qualifications that are highly valued by employers. This means that you are not just getting a course; you are getting the opportunity to have a whole new career in IT.
All courses provided by LIT are innovatively developed with a practical, industry relevant focus. An integral part of our training provision, is a personal and professional development stream, running parallel to academic studies. This embodies the ethos and spirit of LIT, to furnish students with opportunities to enhance and improve personal skills, career skills, and to complete globally recognised industry certification running parallel to academic programmes.
LIT affords a personal touch to its students, with small class sizes promoting an interactive learning atmosphere, and an excellent student service. We foster a dynamic, student-centred, international learning environment, which promotes individual potential.
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Why Train with London IT Training?
At London IT Training, we offer career focused professional certification training that helps the students to achieve the real working experience. Our training is focused specifically on hands on practical approach.
To facilitates this, we have a dedicated lab facilities which help the student to guarantee the best practical experience.
Dealing with Machine Learning models, big data, and deploying deep learning models is a crucial challenge in today's ecosystem. Our pipeline completely automates it, so that you can always have the best model trained on the latest data right when you need it.
You will learn how to get your data ready to begin creating Neural Network Models to classify natural text, images and learn to solve regression problems. We'll talk about the ethics of AI too, as this is an area often overlooked.
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.
Data science is a field that has exploded in popularity in recent years, and for good reason. Companies across industries are increasingly relying on data to inform their decision-making, and skilled data scientists are in high demand.
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.
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