MACHINE LEARNING CERTIFICATION AUTHORITIES

Machine Learning Course Features

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MACHINE LEARNING COURSE FEES IN HONG KONG

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WHY DATAMITES INSTITUTE FOR MACHINE LEARNING COURSE

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SYLLABUS OF MACHINE LEARNING CERTIFICATION IN HONG KONG

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 HONG KONG

MACHINE LEARNING TRAINING COURSE REVIEWS

ABOUT DATAMITES MACHINE LEARNING TRAINING IN HONG KONG

The global market for machine learning as a service is forecast to develop at a compound annual growth rate (CAGR) of 39.3% between 2022 and 2030. In 2021, the market was assessed to be worth USD 15.47 billion. By 2030, it is predicted to be worth USD 305.62 billion. This technological breakthrough is evident in a variety of sectors, including finance, health, education, and many others, and has increased the number of job opportunities available to those interested in a career in artificial intelligence and machine learning.

DataMites®, a global leader in the domains of data science and machine learning, provides effective training that meets the expectations of the industry's rapid transformation. DataMites have offices in a variety of nations, including South Africa, the Philippines, Saudi Arabia, the United Arab Emirates, the United Kingdom, and India. We guarantee a pleasant learning experience along your machine learning journey since we have helped over 50k learners, but perhaps most importantly, our courses have achieved recognition from the International Association of Business Analytics Certification (IABAC).

The three most effective machine learning courses—Machine Learning Expert, Machine Learning Foundation, and Machine Learning with Python—will all help you comprehend subjects that are really popular in the contemporary day. The respected International Association of Business Analytics Certification has recognized the DataMites® Machine Learning Certification Courses offered in Hing Kong. DataMites® provides top-notch teaching in machine learning at very competitive rates.

We provide three-phase, six-monthly machine learning courses in Hong Kong with online machine-learning training.

Phase 1: Applicants will be provided with top-notch self-study videos and materials to help them finish the entire curriculum as they get ready for the upcoming course.

Phase 2 is the main Live Intensive Training phase, which includes international certifications like the IABAC Machine Learning Certification in Hong Kong and practical capstone projects.

The Career Ready Program, projects, and internships make up Phase 3.

Our machine learning courses in Hing Kong include;

Machine Learning Expert - Programmers must make it possible for computers to self-learn and generate output without requiring human input. Your proficiency in machine learning, artificial intelligence, and data science is recognized by the Machine Learning Expert certification, as the name suggests. Continued is the five-month curriculum for machine learning experts.

Machine Learning Foundation - A beginner's guide on machine learning called Machine Learning Foundation is available online. Machine learning algorithms, supervised and unsupervised learning, dimensionality reduction, and supervised learning I and II are some of the subjects covered in this course. A two-month timeframe is specified for the completion of the machine learning foundation courses.

Machine Learning with Tensorflow - A machine learning model is built using data flow graphs using the open-source artificial intelligence framework Tensorflow. Categorization, perception, discovery, prediction, and creativity are frequently carried out using TensorFlow. You'll learn how to utilize Tensorflow, gain a better understanding of statistics, and develop machine learning models and algorithms using real-world data in the course "Machine Learning with Tensorflow." The Tensorflow Machine Learning training program will last for five months.

Python for Machine Learning - Python is a general-purpose programming language that can be utilized to quickly create prototypes for machine learning testing as well as manage a wide variety of difficult machine learning activities. Taking the Python with Machine Learning course will teach you how to build Machine Learning algorithms from scratch. This course covers the use of Python in a variety of settings, including machine learning, statistics, algorithms, and data processing. There is now a five-month DataMites® Machine Learning with Python Training curriculum available.

Machine Learning With R - R is used for machine learning, or statistical computing The most accomplished data scientists in the world work with R, a robust machine learning framework. The course on machine learning with R includes a real-world case study, R for machine learning, fundamental statistics for ML, an introduction to ML, data processing for ML, ML algorithms, developing and training ML models, and more. A five-month training program for DataMites ML with R is offered.

According to a sizable number of local and international big data and artificial intelligence companies surveyed by the FinTech Association of Hong Kong, an industry advisory body, Hong Kong is viewed as a leading regional hub for technology that is poised for further growth. The cost of the DataMites® online machine learning course in Hong Kong ranges from HKD 1,900 to HKD 5,702.  Given the status of job requirements and the pay scale, equalling HKD 417,272 a year for Machine Learning Engineers in Hong Kong, the machine learning career is one of the top career tracks in the twenty-first century!

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

ABOUT MACHINE LEARNING COURSE IN HONG KONG

FAQ’S OF MACHINE LEARNING COURSE IN HONG KONG

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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