Machine Learning Course in Melbourne, Australia

Machine Learning Training FAQs

• What is Machine Learning?

  Machine learning is nothing but an implementation of Artificial Intelligence that allows systems to simultaneously learn and improve from past experiences without the need of being explicitly programmed. It is a process of observing data patterns, collecting relevant information, and making effective decisions for a better future of any organization. Machine learning facilitates the analysis of huge quantities of data, usually delivering faster and accurate results to extract profitable benefits and opportunities.
  

• Why learn Machine learning?

  • Machine learning is taking over the world- and with that, there is a growing need among companies in Melbourne for professionals to know the inputs and outputs of machine learning
  • The machine learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period

• How will the labs be conducted?

  Simplilearn provides Integrated labs for all the hands-on execution of projects. The learners will be guided on all aspects, from deploying tools to executing hands-on exercises.

• How do beginners learn Machine Learning?

  Machine learning is in high demand. But before you jump into certification training, it’s essential for beginners to get familiar with the basics of machine learning first. Simplilearn’s free resources articles, tutorials, and YouTube videos will help you get a handle on the concepts and techniques of machine learning. Start your learning with our free courses that serve as a foundation for this exciting and dynamic field: Statistics Essentials for Data Science, Math Refresher, and Data Science with Python.

• What are the objectives of our Machine Learning course in Melbourne?

  This Machine Learning course in Melbourne, Australia will provide you with insights into the vital roles played by machine learning engineers and data scientists. Upon completion of this course, you will be able to uncover the hidden value in data using Python programming for futuristic inference. You will work with real-time data across multiple domains including e-commerce, automotive, social media, and more. You will learn how to develop machine learning algorithms using concepts of regression, classification, time series modelling and much more.

• What skills will you learn with our Machine Learning course in Melbourne?

  • Master the concepts of supervised and unsupervised learning, recommendation engine, and time series modelling
  • Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach that includes working on four major end-to-end projects and 25+ hands-on exercises
  • Acquire thorough knowledge of the statistical and heuristic aspects of machine learning
  • Implement models such as support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-means clustering and more in Python
  • Validate machine learning models and decode various accuracy metrics. Improve the final models using another set of optimization algorithms, which include Boosting & Bagging techniques
  • Comprehend theoretical concepts and how they relate to the practical aspects of machine learning

• Who can take this Machine Learning course in Melbourne?

  There is an increasing demand for skilled Machine Learning engineers across all industries in Australia. Simplilearn made this Machine Learning course in Melbourne in such a way this is well-suited for participants at the intermediate level of experience. We recommend this Machine Learning training for the following professionals in particular:

  • Developers aspiring to be a data scientist or machine learning engineer
  • Analytics managers who are leading a team of analysts 
  • Business analysts who want to understand data science techniques
  • Information architects who want to gain expertise in machine learning algorithms 
  • Analytics professionals who want to work in machine learning or artificial intelligence
  • Graduates looking to build a career in data science and machine learning
  • Experienced professionals who would like to harness machine learning in their fields to get more insights

• What projects are included in this Machine Learning course in Melbourne, Australia?

  Simplilearn’s Machine Learning course in Melbourne, Australia is a hands-on, code-driven training that will help you apply your machine learning knowledge. You will work on 4 projects that encompass 25+ ancillary exercises and 17 machine learning algorithms. 

  Project 1: Fare Prediction for Uber

  Domain: Delivery (Commerce)
  Uber, one of the largest US-based taxi cab provider, wants to improve the accuracy of fare predicted for any of the trips. Help Uber by building and choosing the right model.

   

  Project 2: Test bench time reduction for Mercedes-Benz

  Domain: Automobile

  Mercedes-Benz, a global Germany based automobile manufacturer, wants to reduce the time it spends on the test bench for any car. Faster testing will reduce the time to hit the market. Build and optimize the algorithm by performing dimensionality reduction and various techniques including xgboost to achieve the said objective. 

   

  Project 3: Income qualification prediction for Inter-American Development bank

  Many social programs have a hard time making sure the right people are given enough aid. It’s tricky when a program focuses on the poorest segment of the population. This segment of the population can’t provide the necessary income and expense records to prove that they qualify. Predicting the right set of people to be included for the aid remains a big challenge for  Inter-American Development Bank. Help the bank by building and improving the accuracy of the model using a random forest classifier.

   

  Project 4: Access privileges prediction for Amazon.com employees

  There is a considerable amount of data regarding employees’ roles within an organization and the resources to which they have access. Given the data related to current employees and their provisioned access, models can be built that automatically determine access privileges as employees enter and leave roles within a company. These auto-access models seek to minimize the human involvement required to grant or revoke employee access. Help Amazon.com to build such a model and suggest the one with maximum accuracy.

• What are the prerequisites for this Machine Learning course in Melbourne, Australia?

  Participants in this Machine Learning course in Melbourne, Australia should have:

  • Familiarity with the fundamentals of Python programming 
  • Fair understanding of the basics of statistics and mathematics

  And, here are some of the fundamental courses that participants need to know before they get into Machine Learning online course:

  • Python for Data Science
  • Math Refresher
  • Statistics Essential for Data Science

• Is this Machine Learning course in Melbourne suitable for freshers?

  Yes, the Machine Learning course in Melbourne, Australia is suitable for freshers, and this course helps you learn Machine Learning topics including working with real-time data, developing algorithms using supervised and unsupervised learning, regression, classification, and time series modeling.

• What is the price of the Machine Learning course in Melbourne, Australia?

  The price of the Machine Learning course in Melbourne, Australia starts from A$ 1,149.

• In which suburbs of Melbourne is the Machine Learning training conducted?

  No matter which suburbs of Melbourne you are in, be it St Kilda West, Albert Park, Port Melbourne, Seaholme, St Kilda, Spotswood, Williamstown, South Melbourne anywhere. You can access our Machine Learning course online sitting at home or office.

• Do you provide this Machine Learning course in Melbourne, Australia with placement?

  No, currently, we do not provide any placement guarantee with the Machine Learning course.

• Why do I need to choose Simplilearn to learn Machine Learning in Melbourne, Australia?

  Simplilearn provides instructor-led training, lifetime access to self-paced learning, training from industry experts, and real-life industry projects with multiple video lessons.

• Is this live training, or will I watch pre-recorded videos?

  If you enroll for self-paced e-learning, you will have access to pre-recorded videos. If you enroll for the Online Classroom Flexi-Pass, you will have access to live Machine Learning training conducted online as well as the pre-recorded videos.

• What if I miss a class?

  Simplilearn provides recordings of each Machine Learning class so you can review them as needed before the next session. With Flexi-pass, Simplilearn gives you access to all classes for 90 days so that you have the flexibility to choose sessions as per your convenience.

• Who are the instructors and how are they selected?

  All of our highly qualified Machine Learning trainers are industry AI experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

• What is Global Teaching Assistance?

  Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in the Machine Learning in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

• What is online classroom training?

  Online classroom training for the Machine Learning certification is conducted via online live streaming of each class. The classes are conducted by a Machine Learning certified trainer with more than 15 years of work and training experience.

• What is covered under the 24/7 Support promise?

  We offer 24/7 support through email, chat, and telephone. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.

• How do I enroll in this Machine Learning online course?

  You can enroll in this Machine Learning online certification course on our website and make an online payment using any of the following options:

  • Visa Credit or Debit Card
  • MasterCard
  • American Express
  • Diner’s Club
  • PayPal

  Once payment is received you will automatically receive a payment receipt and access information via email.

• If I need to cancel my enrollment, can I get a refund?

  Yes, you can cancel your enrolment if necessary. We will refund the course price after deducting an administrative fee. To learn more, please read our Refund Policy.

    

• Who can I contact to learn more about this Machine Learning course?

  Please contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

• * Disclaimer

  * The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

• What are the different types of Machine Learning?

  Machine learning is generally divided into three types - Supervised learning, Unsupervised learning, and Reinforcement learning. This machine learning course gives you an in-depth understanding of all these three types of machine learning.

• Does Machine Learning require coding?

  Yes, some coding knowledge is required to perform certain machine learning tasks like statistical analysis. Basic knowledge of either Python, R, or Java is recommended before taking this Machine Learning certification course.

• Will this certification course help me to build a career in Machine Learning?

  Simplilearn’s Machine Learning certification course is designed by subject matter experts who know what skills are most valued by employers. Topics like types of machine learning, time series modeling, regression, classification, clustering, and deep learning basics are thoroughly covered, and allow you to start a career in this field.

• What is the best language for Machine Learning?

  Machine Learning Engineers take into account various factors to decide which language would best suit their project. Their top choices include Python, C++, R, Java, and Javascript.

• What are the job roles in Machine Learning?

  Some of the top job roles in the field of machine learning are data scientists, machine learning engineers, NLP Scientists, computer vision engineers, and data architects. This Machine Learning course gives you all the necessary skills to become eligible for such roles.

• Is there any university partnered program in Machine Learning?

  Professionals who take this machine learning course do not stop their learning and are inspired to learn more advanced machine learning concepts and seek to understand advanced AI and machine learning concepts as well. Simplilearn’s Post Graduate Program in AI and Machine Learning in partnership with the prestigious Purdue University is ideal for this purpose.

• What is the recommended learning path after completing Machine Learning certification course?

  You can either enroll in our Artificial Intelligence certification course or if you are looking to get the University certificate, you can enroll in the Post Graduate Program in AI and Machine Learning.