MACHINE LEARNING CERTIFICATION AUTHORITIES

Machine Learning Course Features

MACHINE LEARNING LEAD MENTORS

MACHINE LEARNING COURSE FEES IN KUALA LUMPUR

Live Virtual

Instructor Led Live Online

MYR 4,210
MYR 1,959

  • IABAC®  Global 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

MYR 2,550
MYR 1,101

  • Self Learning + Live Mentoring
  • IABAC®  Global 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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BEST MACHINE LEARNING CERTIFICATIONS

The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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WHY DATAMITES INSTITUTE FOR MACHINE LEARNING COURSE

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SYLLABUS OF MACHINE LEARNING CERTIFICATION IN KUALA LUMPUR

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 KUALA LUMPUR

MACHINE LEARNING TRAINING COURSE REVIEWS

ABOUT DATAMITES MACHINE LEARNING TRAINING IN KUALA LUMPUR

The market for machine learning as a service was estimated to be worth USD 15.47 billion in 2021, and it is anticipated to grow at a CAGR of 39.3% between 2022 and 2030 to reach USD 305.62 billion! Priority research These numbers show how rapidly artificial intelligence (AI) and machine learning are permeating the market. Nowadays, almost all sectors of the economy—including government, healthcare, education, retail, manufacturing, supply chain, and logistics—use AI and ML technology in some capacity.

DataMites® is a recognized global leader in data science and machine learning, providing effective training to meet the demands of the industry's rapid transformation. The United Kingdom, India, Saudi Arabia, the Philippines, South Africa, and the United Arab Emirates are just a few of the nations where DataMites has operations. We guarantee a fantastic learning experience along your machine learning journey since we have helped over 50k learners and because our courses have been recognized by 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—all help you comprehend subjects that are really popular in the contemporary day. The esteemed International Association of Business Analytics Certification has given its approval to DataMites® Machine Learning Certification Courses in Kuala Lumpur. You can obtain excellent teaching in real-time from DataMites® at very competitive prices for machine learning training.

We provide three-phase, six-monthly machine learning courses with online instruction in Kuala Lumpur. Six times a year, these courses are offered.

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

It includes international certifications like the IABAC Machine Learning Certification in Kuala Lumpur and practical capstone projects. Phase 2 is the main Live Intensive Training session.

The 3rd phase includes projects, internships, and the Career Ready Program.

Our machine learning courses in Kuala Lumpur cover topics like;

Machine Learning Expert - Programmers must make it possible for computers to learn on their own and generate outcomes without the need for human input. The Machine Learning Specialist certification, as its name suggests, recognizes your proficiency in machine learning, artificial intelligence, and data science. The five-month training for machine learning experts will continue.

Machine Learning Foundation - An introduction to a machine learning course called Machine Learning Foundation is available for novices. This course covers a variety of subjects, including Dimensionality Reduction, Supervised Learning I and II, Unsupervised Learning, and Machine Learning Algorithms. In order to complete the Machine Learning Foundation Courses, two months are required.

Machine Learning with Tensorflow - Data flow graphs are used to build machine learning models in Tensorflow, an open-source artificial intelligence toolkit. For categorization, perception, discovery, prediction, and invention, TensorFlow is frequently used. The "Machine Learning with Tensorflow" course will teach you how to utilize Tensorflow, improve your statistical knowledge, and develop machine learning models and algorithms using real-world data. The training curriculum for Tensorflow Machine Learning has a five-month duration.

Python for Machine Learning - Python is a general-purpose programming language that may be used to quickly create machine-learning test prototypes and manage a variety of challenging machine-learning tasks. By enrolling in the Python with Machine Learning course, you may learn how to build Machine Learning algorithms in Python from scratch. This course covers the use of Python in machine learning, statistics, algorithms, data processing, and other fields. The five-month training curriculum for DataMites® Machine Learning with Python is now available!

Machine Learning with R - Using R for machine learning in machine learning The best data scientists in the world utilize R, a robust framework for machine learning. The course covers developing and training ML models, using R for machine learning, basic statistics for ML, an introduction to ML, data processing for ML, ML algorithms, and a real-world case study. A five-month training program called DataMites ML with R is offered.

With a focus on being a regional hub to build high-performing start-ups, Kuala Lumpur is establishing itself at the forefront of Southeast Asia's flourishing start-up ecosystem. The cost of the DataMites® online machine learning course in Kuala Lumpur can range from MYR 1083.70 to MYR 3251.11. Naturally, as the use of these intelligent technologies grows, so does the demand for AI and machine learning expertise. Now is the moment to start planning your Machine Learning career!

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

ABOUT MACHINE LEARNING COURSE IN KUALA LUMPUR

Machine learning is a subset of artificial intelligence that describes a machine's ability to imitate intelligent human behavior.

Anyone interested in learning Machine Learning, whether a newbie or a seasoned veteran, can enroll. Those who want to get into data analytics or build a profession out of it should take the course.

Courses in machine learning might run anywhere from six to eighteen months. However, the curriculum varies based on the degree or certification you pursue. 6-month courses can provide you with a significant machine learning experience, which could lead to entry-level positions at top firms.

Depending on the course level and type of training you choose, the cost of Machine Learning Training in the US could range from 162.24 USD to 773.94 USD. The Machine Learning Training Fee in Europe can vary from 152.01 Euros to 725.12 Euros. The Machine Learning Training Fee in India might range from 12,578 INR to 60,000 INR, depending on the course level and form of training you choose.

Machine learning, data science, artificial intelligence, and related courses are taught at DataMites®. DataMites collaborates with world-renowned Machine Learning professionals to create and deliver a training course. As of today, there are millions of jobs and business prospects in Data Science all over the world, and this number will only grow tremendously in the future years.

The national average Machine Learning Engineer Salary in Kuala Lumpur is MYR 104,539 per year. (Indeed.com)

  • Software Engineer
  • Data scientist
  • Business Intelligence Developer
  • Machine-learning scientist
  • NLP Scientist
  • Machine learning engineer
  • Software Developer
  • Computational Linguist
  • Human-centered Machine Learning
  • Application architect
  • Data Analyst

Suppose you want to work in the industry. In that case, the machine learning expert course is the one to take because it qualifies you as an expert in the fields of machine learning, artificial intelligence, and data science by teaching you how to program in the most popular programming languages, such as Python.

Machine Learning will benefit from abilities such as applied mathematics, NLP, computer science basics, communication skills, Neural Networks, and problem-solving.

Machine Learning has now surpassed almost every business on the earth. There isn't a single industry that doesn't rely on data these days. Machine Learning (ML) has a wide range of applications. It will expand in the near future to include medical, finance, social media, facial and voice recognition, online fraud detection, and biometrics. According to reports, the machine-learning market was worth $1.41 billion in 2020 and is predicted to reach $8.81 billion by 2025.

Artificial intelligence (AI) is an area of computer science whose goal is to develop a computer system that can think like a person. It's created out of the phrases "artificial" and "intelligence," which mean "human-made thinking ability" when put together. Machine learning is a type of artificial intelligence, in which artificial intelligence refers to the overall appearance of intelligence, while machine learning refers to the process of machines ingesting data and learning things about the world that humans find difficult.

To function, all businesses rely on data. Machine learning has the ability to dig up the value of corporate and consumer data, enabling businesses to make better decisions and stay ahead of the competition.

Data science is a field of study that uses a scientific method to extract meaning and insights from data. On the other hand, machine learning refers to a collection of data science techniques that allow computers to learn from data.

A fresher can get a career in machine learning if he or she learns the necessary abilities. To have a successful career in the machine learning landscape, freshers must prepare how they will perform well and communicate closely with professionals that have significant expertise in the same sector.

Python is superior to R since it may be utilized for a variety of applications. It has improved scalability, performance, and integration, among other things. R, on the other hand, is a better choice for data analysis and visualization.

It is a type of Artificial Intelligence that allows program applications to predict outcomes with extreme precision. It distinguishes between creating computer programs and assisting machines in memorizing without human intervention. Machine learning, on the other hand, has a promising future ahead of it.

Machine Learning is wide-ranging and its applications are infinite. Companies all over the world are searching for machine learning professionals who can be an asset to their companies. Machine Learning certifications can be valuable for your career ahead in this technology-driven world.

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FAQ’S OF MACHINE LEARNING COURSE IN KUALA LUMPUR

The prospects are expanding as artificial intelligence and machine learning become more widely employed around the world and in a wider range of businesses, and Kuala Lumpur is supporting this as a top priority. Machine learning has been embraced by a range of industries, including transportation, healthcare, finance, manufacturing, advertising, and more!

Machine Learning is a highly sought-after field of study that assures highly lucrative salary packages. Aspirants can enroll at DataMites® for Machine Learning Course, we provide in-depth training for your further career.

No, a PG degree is not necessary but having prior knowledge of Mathematics, Statistics, Economics, or Computer Science can be highly beneficial.

Machine Learning is one of the best spheres where you can begin your career in. Freshers can enroll in our Machine Learning Foundation Course.

It's no more difficult to learn how to use machine learning than it is to master any other set of programming libraries. The key is to focus on putting the algorithm to work rather than inventing it. Machine Learning, like any other discipline, may be learned easily in the right direction, and it is possible to create a career in it.

  • DataMites®™ is the global institute for Machine Learning accredited by the International Association of Business Analytics Certification (IABAC).
  • We have more than 25,000 students enrolled in the courses we offer.
  • We provide a three-step learning method. In Phase 1, self-study videos and books will be provided to the candidates to help them get adequate knowledge about the syllabus. Phase 2 is the primary phase of intensive live online training. And in the third phase, we will release the projects and placements.
  • The entire training includes real-world projects and highly valuable case studies.
  • After the training, you will receive the IABAC certification which is a global certification.
  • After completing your training, you will get the chance to do an internship with an AI company.

The duration of the Machine Learning Course in Kuala Lumpur is 6 months, totaling 120 hours of training. Training sessions are imparted on weekdays and weekends. You can choose any as per your availability.

The cost of the DataMites® online machine learning course in Kuala Lumpur can range from MYR 1083.70 to MYR 3251.11.

Although DataMites® offers classroom instruction, it is exclusively available in India. We provide Machine Learning Courses Online in Kuala Lumpur that is just as effective and engaging as classroom training.

We are determined to provide you with trainers who are certified and highly qualified with decades of experience in the industry and are well-versed in the subject matter.

We will issue you an IABAC® certification that provides global recognition of relevant skills.

Of course, after your course is completed, we will issue you a Machine Learning Course Completion Certificate.

Our Flexi-Pass for Machine Learning training will allow you to attend sessions from DataMites® for a period of 3 months related to any query or revision you wish to clear.

  • You don't need to worry about it. Just get in touch with your instructors regarding the same and schedule a class as per your schedule.
  • In the case of Machine Learning Training Online in Kuala Lumpur, each session will be recorded and uploaded so that you can easily learn what you missed at your own pace and comfort.

Yes. Photo ID proofs like a National ID card, Driving license, etc. are needed for issuing the participation certificate and booking the certification exam as required.

Yes, a free demo class will be provided to you to give you a brief idea of ??how the training will be done and what will be involved in the training.

The course price must be paid in full to reserve your spot for the complete course as well as arrange your certification examinations with IABAC. If you have any unique limits, your DataMites® relationship manager will assist you with part payment agreements.

The DataMites® Placement Assistance Team (PAT) holds career coaching sessions for applicants with the goal of assisting them in recognizing the purpose they will serve once they enter the corporate sector. Students are guided by industry experts through the numerous options accessible in the Machine Learning career, allowing applicants to have a thorough image of their options. They will also learn about the many hurdles they are likely to meet as a newcomer to the industry and how to overcome them.

Learning Through Case Study Approach

Theory → Hands-on → Case Study → Project → Model Deployment

Yes, of course, it is important that you make the most of your training sessions. You can of course ask for a support session if you need any further clarification.

Yes, we have a dedicated Placement Assistance Team (PAT) who will provide you with placement facilities after the completion of the course.

We accept payment through the;

  • Cash
  • Debit Card
  • PayPal
  • Check
  • Net Banking
  • Credit Card
  • Visa
  • Master card
  • American Express

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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