Duration

30 Hours(For Regular Course)

4-8 Hours(For Capsule Course)


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Machine learning (Course code: ALS08211116)

It is needless to say that a new age of technology and development is at the brink of establishment. Any individual well versed in contemporary technological development will agree that data interpretation and manipulation along with multidisciplinary integration is at the fore-front of this revolution. Machine learning is possibly the biggest technological domain under development for the forthcoming industrial revolution. In essence, machine learning is the science of giving power to the machines to take decisions on their own without being programmed.


It is a combination of computer science, data mining and statistical patterning techniques aiming to find the most efficient and smartest decision process. Machine learning incorporates a wide variety of data interpretation and statistical tools of supervised learning such as parametric/non parametric algorithms, neural networks, kernels etc. along with unsupervised learning such as clustering, dimensionality reduction, deep learning etc. Machine learning is possibly the first level of artificial intelligence that humans are currently developing.


Machine learning technologies and processes inherently allow machines to undergo data analysis through automated analytical model building. With the help of algorithms, machines learn from data iteratively allowing them to find solutions in gaps without being explicitly programmed to search in the gaps. Machine learning at small levels using algorithms have been around for a long period of time but its implementation on big data over and over, faster and faster has only been a development in the recent decade.


Machine learning has also paved way for more complex and deep data mining and Bayesian analysis techniques. The ever growing volume and variety of data demands computational processing that is cheap and more powerful along with affordable storage of data. Machine learning allows the user to quickly and automatically create models that can analyze more complex data and perform all these feats. This will directly lead to creation of system models that allow more profitable opportunities and avoidance of unknown risks.


The machine learning course takes the trainee from the beginning of theoretical fundamentals to complete application practices. Machine learning is a domain which is completely un-implementable until the individual is well versed in the core theoretical fundamentals. Thus, our course focuses on developing the fundamentals of machine learning which is an amalgamation of statistics and mathematical functions. This is available in both modes of online machine learning course and offline too as per the trainees' requirements.


Introduction

  • Introduction to machine learning and history
  • Fundamental mathematics and statistics introduction
  • Linear regression in one variable
  • Linear algebra revisited

More on mathematics and tools

  • Linear regression with multiple variables
  • Using MATLAB in the domain
  • Using OCTAVE in the domain

Data manipulation

  • logistic regression
  • Regularization
  • Support vector machines

Neural networks

  • introduction
  • Learning
  • Implementation

Learning

  • Unsupervised learning
  • Supervised learning
  • Dimensionality reduction

Machine learning has been in the limelight for quite some time now and has given quite a number of innovations in the past decade such as self driving cars, practical speech recognition, effective web search and much more. Researchers think that it is the first step towards comprehensive artificial intelligence. Having a practical know-how of machine learning apart from the theory gives immense power to the individual to program systems that the future really needs.

In the Mecca of technology, the Silicon Valley, Machine learning is currently the hottest trend under development and research. Some of the biggest names of the technological world such as Google and Tesla have machine learning as their priority research area. The self driving Google car and Tesla's autopilot are two of the hottest innovations that machine learning has given to the world. It is impossible that this wave of automation and decision making systems through machine learning is going to end in the near future. An individual having specialization in the domain of machine learning has possibilities of career beyond measure.

1. Are lab-sessions available after theory sessions?

We provide online lab facilities to all our students, wherever possible & applicable, using a combination of one or more options, including global ASP setups, live-environments, real-time simulations, training-videos, PPTs, Screenshots and others.

2. Who and how qualified are the instructors?

All our instructors go through a rigorous and multiple processes of filtering and selection before they are appointed by us. Only the most qualified, most experienced and best suited candidates are chosen as instructors.

3.What are the machine requirements for the course?

You must have a fairly good desktop PC or laptop. You can even access these courses on your tabs or smart phones. For PCs and laptops the configuration should be at-least an Intel Pentium processor, 4GB of RAM and 50 to 100 GB of free hard disk space. You must also have a good and steady WiFi internet connection which works at 3G or 4G speeds.

4.How will I undergo practical training in the course?

Depending on the type of lab facilities available for the course you have enrolled in for our instructor would be happy to help you in your lab sessions.

5.What is the process to get my questions/queries answered?

Get in touch with your trainer. You can also consult your batch-mates. We believe in collaborative and practical learning.

6.Can a free demo session be provided?

We do not provide free demo sessions.

7.Will there be a provision for repetition if I miss a class?

We encourage our trainees to attend all sessions. If you have missed a session we will try out best to update you on it, if possible. Else you will need to pay a small fee to have a repeat session arranged specifically for you.

8.Does your organization provide assistance in job hunting?

We are connected across the industry in India and abroad. We will pass on any job openings from our customer to our trainees. But we are not a manpower placement provider.

9.How and where can I make the payment?

You can pay using any credit or debit card in India or abroad. You can also pay using your PayPal account.

10. Will practice material or tests be also provided with the course?

Yes. As required & as applicable.

11.What is the minimum or maximum batch size?

Minimum/maximum batch sizes vary from course to course, depending upon a number of factors. It can vary from as few as 2 to as many as a few hundred, in some cases. But that number does not impact the quality of training that we deliver due to our tight quality-control mechanisms.

All trainees will be provided with a course participation and completion certificate by Aurelius Corporate Solutions. Please note, we are an independent provider of learning solutions. We are not affiliated in any manner to any company or organization.

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