MACHINE LEARNING CERTIFICATION AUTHORITIES

Machine Learning Course Features

MACHINE LEARNING LEAD MENTORS

MACHINE LEARNING COURSE FEES IN EDINBURGH

Live Virtual

Instructor Led Live Online

760
359

  • IBM® & IABAC® Certification
  • 5-Month | 350 Learning Hours
  • 100-Hour Live Online Training
  • 20 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship +Job Assistance

Blended Learning

Self Learning + Live Mentoring

460
199

  • Self Learning + Live Mentoring
  • IBM® & IABAC® Certification
  • 1 Year Access To Elearning
  • 20 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Corporate Training

Customize Your Training


  • Instructor-Led & Self-Paced training
  • Customized Learning Options
  • Industry Expert Trainers
  • Case Study Approach
  • Enterprise Grade Learning
  • 24*7 Cloud Lab

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WHY DATAMITES INSTITUTE FOR MACHINE LEARNING COURSE

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SYLLABUS OF MACHINE LEARNING CERTIFICATION IN EDINBURGH

The following topics are covered in "Machine Learning"

Foundation:

Machine Learning Introduction: Supervised and Unsupervised Learning

  • Linear Regression Theory
  • Linear Regression Programming with R
  • Working on Case Study

Multiple Linear Regression

  • Theory behind multiple linear regression
  • Multiple Linear Regression with R
  • Working on Case Study

Decision Tree:

  • Theory Behind Decision Tree
  • Decision Tree with R
  • Working on Case Study

Naive Bayes:

  • Theory behind Naïve Bayes classifiers
  • Naive Bayes Classifiers with R
  • Working on Case Study

Support Vector Machines:

  • Theory behind Support Vector Machines
  • Support vector machines with R
  • Improving the performance with Kernals
  • Working on Case Study

Association Rule:

  • Theory behind Association Rule
  • Working on Case Studies

Expert:

Neural Net:

  • Artificial Neural Network
  • Connection Weights in Neural Network
  • Generating Neural Network with R
  • Improving Neural Network Accuracy with Hidden Layers
  • Working on Case

Random Forest:

  • Theory behind Random Forest
  • Random Forest with R
  • Improving performance of Random Forest
  • Working on Case Study

Recommendation Engine:

  • Theory behind Recommendation Engines
  • Working on Case Study with R

Dimension Reduction:

  • Theory behind Recommendation Engine
  • Working on Case Studies
  • Popular Machine Learning Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised Learning
  • Choice of Machine Learning
  • Simple and Multiple Linear Regression
  • KNN etc...
  • Theory of Linear Regression
  • Hands on with use Cases
  • Naïve Bayes for text classification
  • New Articles Tagging
  • K-means Clustering
  • Tuning with Hyper Parameters
  • Popular ML Algorithms
  • Clustering, Classification and Regression
  • Supervised vs Unsupervised
  • Choice of ML Algorithm
  • Ensemble Theory
  • Random Forest Tuning
  • Simple and Multiple Linear regression
  • KNN
  • Text Processing with Vectorization
  • Sentiment analysis with TextBlob
  • Twitter sentiment analysis.
  • Basic ANN network for regression and classification
  • Tensorflow work flow demo and intro to deep learning

OFFERED MACHINE LEARNING COURSES IN EDINBURGH

MACHINE LEARNING TRAINING COURSE REVIEWS

ABOUT DATAMITES MACHINE LEARNING TRAINING IN EDINBURGH

Did you know that having machine learning abilities makes you a valuable resource in any industry, which means you have a lot of options? As an ML professional, you will have complete control in this manner. If you're interested in pursuing a career in machine learning, have a look at our Machine Learning program.

DataMites® is the global leader in data science and machine learning subjects, rendering efficacious training that is completely in line with the growing industry requirements. DataMites® has offices in India, the United Kingdom, the United States, Saudi Arabia, UAE, South Africa, the Philippines and other countries. Above all, our courses are accredited by the International Association of Business Analytics Certification (IABAC) Having trained over 50k learners, we guarantee a splendid learning experience throughout your machine learning journey.

Why do you need to learn machine learning anyway?

Machine Learning as a Future Skill — Despite the fact that machine learning has progressed at a breakneck pace during this time, it still faces a qualified labour deficit. It's a good idea to prepare ahead if you want to have a successful career in the rapidly evolving field of technology.

Job Openings of Exceptional Quality - As of May 2022, the LinkedIn site offers over 18,000 job vacancies for ML-related positions in the United Kingdom alone!

Create Attractive Salary Packages — In the United Kingdom, machine learning engineers earn an average of £50,327. Even entry-level ML roles in the United Kingdom can pay up to £39,667 per year on average. The average compensation for an early career ML engineer with 1 to 4 years of experience is £49,969 per year. In the United Kingdom, a person with 5 to 9 years of experience can earn up to £66,925 per year on average, while a senior professional income is £90,000. (Payscale)

Job Openings in a Wide Range of Industries – Machine learning experts are in high demand in a wide range of industries, including banking, financial services, and insurance (BFSI), media and entertainment, healthcare, retail, telecommunications, and autos.

Work on Real-World Issues – Machine learning has the ability to solve a wide range of issues that the rapidly digitising business world is facing. You will get the opportunity to work on real-world challenges and develop solutions that will have a long-term impact on how businesses run.

Studying Machine Learning in a rigorous academic setting, such as DataMites® Machine Learning Training, is the best way to develop the skills, knowledge, and credentials you'll need to succeed in this competitive sector. Our programme provides you with all of the skills and expertise you'll need to launch a long-term career as a machine learning specialist, as well as the academic credentials you'll need to convince hiring managers that you're prepared to devote right away.

The United Kingdom is committed to building an economy based on artificial intelligence (AI) and big data, which will provide significant prospects for American tech companies. According to reports, the AI sector in the United Kingdom is expected to grow rapidly over the next five years, adding $880 billion to the UK economy by 2035.

Outside of London, Edinburgh has been ranked as one of the top locations in the UK for technology, with some of the highest wages and substantial innovation investment. The analysis attributed the capital's rise to a high amount of venture capital funding, available tech job prospects, advertising tech salaries, and the quantity of fast-growth tech businesses.

Machine learning expert, machine learning foundation, and machine learning with Python are the most popular Machine Learning courses, all of which can help you understand subjects that are in high demand in today's market. DataMites® Machine Learning Certification Courses in Edinburgh have been recognised by the International Association of Business Analytics Certification (IABAC), which has a global reputation. DataMites®' Machine Learning Training is extremely cost-effective, and you can receive high-quality training in real-time.

We provide 6 monthly machine learning courses in Edinburgh with online machine learning training in Edinburgh that would be imparted within a three-phase learning method.

Phase 1 = It's time to get ready for the upcoming course; candidates will be provided with high-quality self-study videos and materials to help them get to the bottom of the curriculum entirely.

Phase 2 = The main stage of Live Intensive Training, which includes hands-on capstone projects and the IABAC Machine Learning Certification in Edinburgh, which is a global certification.

Phase 3 = Projects, Internships and Job ready Program.

Courses we offer in Machine Learning:

  1. Machine Learning Expert - Experts in machine learning must build programmes that allow computers to self-learn and generate results without requiring human input. As the name says, Machine Learning Expert qualifies you as an expert in the fields of machine learning, artificial intelligence, and data science. Machine Learning Expert Training is expected to last five months.
  2. Machine Learning Foundation - is a beginner's course aimed to help novices get started in the subject of machine learning. This course covers topics such as Machine Learning Algorithms, Supervised Learning 1, Supervised Learning II, Unsupervised Learning, and Dimensionality Reduction. The Machine Learning Foundation Courses are designed to last two months.
  3. Machine Learning - Tensorflow - Tensorflow is an open-source artificial intelligence library that creates models using data flow graphs. TensorFlow is widely used for classification, perception, discovery, prediction, and creation. Machine Learning with Tensorflow is a course that will teach you how to use Tensorflow from scratch, as well as how to learn more about statistics and construct Machine Learning models and algorithms using real-world data. Tensorflow Machine Learning is a 5-month training programme.
  4. Python for Machine Learning - Python is a general-purpose programming language that can handle a wide range of complex machine learning tasks and allows you to quickly build prototypes to test your product for machine learning. The Python with Machine Learning course shows you how to create Machine Learning algorithms from the ground up in Python. Python's role in machine learning, statistics, algorithms, data processing, and more are covered in this course. DataMites® Machine Learning with Python Training is a 5-month programme!
  5. Machine Learning with R - R is a powerful machine learning tool that the world's greatest data scientists use. The Machine Learning with R course covers R for Machine Learning, Basic Statistics for ML, Introduction to ML, Data Processing for ML, ML Algorithms, Building and Training ML Models, and a hands-on case study. The DataMites® ML with R Training lasts five months.

Machine learning training is the most appropriate approach to learning about this in-demand sector, which offers a wide range of job opportunities. According to Indeed's analysis from 2019, Machine Learning Engineer is the best job in terms of pay, employment growth, and growing market.

Getting trained in machine learning will set you up for success and give you a leg up on the competition in the booming artificial intelligence job market. The DataMites® Online Machine Learning Course Fee in Edinburgh is £494.63 whereas we offer the machine learning course online for just  £247.78.

Machine learning is a talent for the future – Machine learning is experiencing a skills deficit, despite its tremendous growth. If you can match the expectations of large organisations by becoming proficient in machine learning, you will have a good career in growing technology!

Along with the machine learning course, DataMites also provides data analyst course, deep learning, data engineer, data science, r programming, python training, mlops, power bi, tableau, artificial intelligence and data analytics courses in  Edinburgh.

ABOUT MACHINE LEARNING COURSE IN EDINBURGH

FAQ’S OF MACHINE LEARNING COURSE IN EDINBURGH

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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