MACHINE LEARNING CERTIFICATION AUTHORITIES

Machine Learning Course Features

MACHINE LEARNING LEAD MENTORS

MACHINE LEARNING COURSE FEES IN AUSTRALIA

Live Virtual

Instructor Led Live Online

AU 1,400
AU 669

  • 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

AU 850
AU 379

  • 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

Why DataMites Infographic

SYLLABUS OF MACHINE LEARNING CERTIFICATION IN AUSTRALIA

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 AUSTRALIA

MACHINE LEARNING TRAINING COURSE REVIEWS

ABOUT DATAMITES MACHINE LEARNING TRAINING IN AUSTRALIA

Forecasts indicate that from US$7.3 billion in 2020 to US$30.6 billion in 2024, the market's worldwide size will grow at a CAGR of 43%. It has made it possible to create useful speech recognition, effective web searches, and self-driving cars in the last ten years. It has also made it possible to understand the human genome much better. A machine learning certification can help you pursue a career in this field, which may be useful!

DataMites® is a premium authority in the fields of data science and machine learning, offering efficient training that satisfies the demands of the sector's swift change. DataMites have offices in a number of countries, including South Africa, the Philippines, Saudi Arabia, the United Arab Emirates, the United Kingdom, and India. Above importantly, our courses have received recognition from the International Association of Business Analytics Certification (IABAC) Since we have assisted over 50k learners, we guarantee a wonderful learning experience along your machine learning journey.

The three most potent machine learning courses—Machine Learning Expert, Machine Learning Foundation, and Machine Learning with Python—will all aid you in understanding topics that are really well-liked in the modern world. DataMites® Machine Learning Courses in Australia have been approved by the prestigious International Association of Business Analytics Certification (IABAC). DataMites® offers very reasonable machine learning training, and you can receive top-notch instruction in real time.

Machine learning certifications in Australia are a valuable addition to your resume if you want to start a career in the rapidly evolving industry of technology. We offer three-phase, six-monthly machine-learning courses in Australia with online machine-learning training. These courses are offered six times per year.

  1. Phase 1: Candidates will be given top-notch self-study videos and materials to aid them in completing the complete curriculum as they prepare ready for the forthcoming course.
  2. Phase 2: is the primary Live Intensive Training phase, and it entails global certifications like the IABAC Machine Learning Certification in Australia and hands-on capstone projects.
  3. Phase 3: Projects, internships, and the Career Ready Program comprise.

Machine Learning Expert - Programmers must enable computers to self-learn and produce results without requiring human input. As the name suggests, the Machine Learning Specialist certification recognizes your expertise in machine learning, artificial intelligence, and data science. The five-month Machine Learning Expert Training program will continue.

Machine Learning Foundation - is a course for beginners that will help them learn about machine learning. Among the topics addressed in this course are Machine Learning Algorithms, Supervised Learning I and II, Unsupervised Learning, and Dimensionality Reduction. The Machine Learning Foundation Courses are designed to be finished in a two-month period.

Machine Learning with Tensorflow - TensorFlow is an open-source artificial intelligence toolkit that uses data flow graphs to construct models in machine learning. TensorFlow is commonly used for categorization, perception, discovery, prediction, and creation. In the course "Machine Learning with Tensorflow," you will learn how to use Tensorflow, understand statistics better, and create machine learning models and algorithms using real-world data. Five months are allotted for the Tensorflow Machine Learning training program.

Python for Machine Learning: Python is a general-purpose programming language that can be used to easily construct prototypes for machine learning testing as well as manage a wide range of complex machine learning tasks. You may learn how to create Machine Learning algorithms in Python from scratch by taking the Python with Machine Learning course. The use of Python in machine learning, statistics, algorithms, data processing, and other areas is covered in this course. The five-month DataMites® Machine Learning with Python Training program is in place!

Machine Learning with R - The most accomplished data scientists in the world utilize R, a robust machine-learning platform. The course on machine learning with R includes R for machine learning, fundamental statistics for ML, an introduction to ML, data processing for ML, ML algorithms, building, and training ML models, and a practical case study. A five-month training program called DataMites ML with R is offered.

In the past three decades, Australia has developed a robust and diverse digital sector that has given rise to a number of internationally successful businesses. In order to boost the local IT ecosystem, Australia has also drawn some of the biggest international tech businesses and investors to our shores! The country is rising high in the machine learning market. The cost of the DataMites® online machine learning course in Australia can range from AUD 359.72 and can go up to AUD 1079.16, all depending on the course you are taking.

By pursuing a career in machine learning, you can take part in the digital transformation of industries like manufacturing, healthcare, retail, and logistics. Because machine learning knowledge makes you a sought-after resource in any industry, your options are numerous. This will provide you, as an ML expert, complete control. If you're considering a career in machine learning, DataMites Machine Learning Courses will be right for you.

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

ABOUT MACHINE LEARNING COURSE IN AUSTRALIA

FAQ’S OF MACHINE LEARNING COURSE IN AUSTRALIA

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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