Machine Learning Course in Bangalore, Rajajinagar

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About Machine Learning Training in Bangalore

Machine learning is the science of getting computers to act without being explicitly programmed. It is a subset of Artificial Intelligence (AI). In recent times Machine learning has been extensively used in self driving cars, virtual personal assistant, traffic predictions, video surveillance, social media services – face recognition, similar pins etc., email spam & malware filtering etc. Machine learning is so prevalent today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI or Artificial General Intelligence (AGI). In our Machine learning course in Bangalore, you will learn about the most effective machine learning and data science techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you’ll learn about not only the theoretical underpinnings of learning but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you’ll learn about some of industry’s best practices in innovation as it pertains to machine learning and AI.

What is Machine Learning ?

According to Arthur Samuel also known as father of Machine Learning , “ML is the field of study that gives computers the ability to learn without being explicitly programmed”.

To understand how machine learning is different from traditional rule based software, consider writing a code that can separate apples from oranges. Let’s think about it. What exactly defines an apple and how you can write a code that can generalize all the apples in the world? Red colour and round shape? Not really, we have seen green apples already 😛 So, no matter what kind of code you write, there will always be an apple which can break the rules. So, how to solve it? Well how do you solve it as a human? You have seen apples and oranges, a lot of them! You understood the difference from examples.

Computers can also learn from examples. How? We can pass lots of apples and orange images to the machine let it find some patterns which can then separate the two in high dimension space. This process of learning patterns in high dimensional data to take decision is building block of ML.

Machine Learning Course in Bangalore


  • Intelligent Personal Assistant (IPA) – Have you seen Google assistant calling a salon, or Alexa playing songs based on your request or Siri updating the news in human voice? These are the examples of virtual assistance and one of the recent advancements in ML. You can create your own virtual assistance by learning the fundamentals of ML(but not like EDITH of Iron man of course) in our Machine Learning institute in Bangalore.
  • YouTube recommendations – When we play a song on Youtube, Youtube starts recommending similar songs and most of us are happy with it! This magic happens because of advanced Machine Learning used by Google.
  • Video Surveillance – Using ML parents can watch their kid’s safety, aviation companies can manage flight traffic and companies can maintain efficiency and security.
  • Social Media Management – ML is revolutionizing personalization in social media such as clustering activities,  suggesting right friends, auto tagging pictures, market analysis for product recommendations and many more.
  • Self driving cars – Deep learning which is a subset of ML, can drive cars without human intervention. This type of sophisticated automation was not possible before ML.
Machine Learning Examples
Machine Learning Examples
Machine Learning Examples
Machine Learning Examples

Machine Learning Training in Bangalore



This course provides a broad introduction to machine learning, Deep Learning, datamining, and statistical pattern recognition. We offer the best Machine Learning training in Bangalore as the course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to build smart AI systems, text understanding, computer vision applications, medical informatics, audio, database mining, and other areas.


Month 0: Probability Theory (Recap), Linear Algebra (Recap), Convex Optimization (Recap), Introduction: Statistical Decision Theory – Regression, Statistical Decision Theory -Classification, Bias Variance, Expectations and calculus (recap)

Month 1: Linear Regression, Polynomial Basis Functions, Ridge and Lasso, Multivariate Regression, Subset Selection, Shrinkage Methods, Principal Component Regression, Partial Least squares, Bayesian Regression, Linear Classification, Logistic Regression, LDA, Naive Bayes

Month 2: SVM, Perceptron, Neural Networks – Introduction, Perceptron Learning, Neural Networks – Backpropagation, Neural Networks – Initialization, Training & Validation, Parameter Estimation, Convolutional Neural Networks, Recurrent Neural Networks, Applications in Computer Vision and NLP

Month 3: Decision Trees, Regression Tree, Decision Trees – Stopping Criterion & Pruning, Loss functions, Bootstrapping & Cross Validation, Class Evaluation Measures, ROC curve, MDL, Ensemble Methods – Bagging, Ensemble Methods – Boosting, Gradient Boosting, Random Forests, Multi-class Classification, XGBOOST

Month 4: Undirected Graphical Models, HMM, PCA, T-SNE, Hierarchical Clustering, CURE Algorithm, Density-based Clustering, Gaussian Mixture Models and Expectation-Maximization(K-means and Spectral Clustering), Learning Theory, Introduction to Reinforcement Learning) and  FINAL PROJECT.

Time Frame: 5 Months | Teaching Hours: 140+ Hours | Hands on Hours: 100+ Hours

Prerequisite: Data Scientist or Data Analyst along with Python programming knowledge Or Corpnce’s Advanced Data Science Course

Price: Rs. 99,999/-* (EMI starting @ ₹3500/-)



It is the best Machine Learning Course in Bangalore for professionals looking to change domain, wanting to embrace the AI revolution or seeking a job. It’s an extensive course with 4-6 industrial projects and with one strategic intent of making candidates ready to deploy.


Intro to Data Science & Python | Statistics & Probabilities – Frequentist & Bayesian | Intro to Big Data tools | Exploratory Data Analysis [ Data Analytics, Data Wrangling & Munging ] | Visualization Tools – Python & Tableau | Advanced Machine Learning with Optimization | Scalable AI | Intro to Deep Learning & ANN | Computer Vision – CNN | Concepts of NLP – RNN

TOOLS: Bokeh, MatplotLib, IPython, Jupyter, MySQL, NLTK, NumPy, SciKit-Learn, Pandas, Pytorch etc

Time Frame: 7-8 Months | Teaching Hours: 165+ Hours | Hands on Hours: 150+ Hours

Price: Rs. 95,000/-* (EMI starting @ ₹4500/-*)

Advanced Machine Learning & Data Science Syllabus



Weekend Batch
Total Seats: 15


Rajajinagar: 89712 70500 / 97396 04796

Advanced Machine Learning & Data Science Syllabus

Why Machine Learning ?

  • AI (including ML) has the potential to create $1.4T to $2.6T of value in marketing and sales across the world’s businesses.
  • Machine learning has the capability of improving product quality up to 35% in discrete manufacturing industries, according to Deloitte recent report.
  • Almost 50% of companies that adopted AI over the next 5 to 7 years have the potential to double their cash flow with manufacturing leading all industries due to its heavy reliance on data according to McKinsey.
  • AI- and machine learning-based product defect detection and quality assurance show the potential to increase manufacturing productivity by 50% or more.
  • Machine Learning is among the top tech skill in 2019 by Gartner research.
  • One of the highest paid jobs in USA and India.
Machine Learning Training in Bangalore

Frequently Asked Questions

Am I the right candidate for Data Science?

Working professionals from any industry with prior coding knowledge or exposure to data driven process can join our Machine Learning training in Bangalore. In case, their profile doesn’t match above criteria they need to qualify the python fundamental test & TQ evaluation test to take up the DS course.

Technical Student from Engineering, MCA, BCA, MTech, PHD, Medical, Statistics, Finance can join the course subject to initial screening same as for working professionals.

I am a final year engineering student or fresher, will this course help me?

Our course syllabus is designed from basics all the way to advance concepts, so freshers will not face any problem in projects. Since the demand for data science is more than the current resources, we can expect some huge opportunists coming in near future. Currently we need 4000 fresher in data science by 2018. It’s a good number!

What is the duration of the course?

The duration of Machine Learning Course in Bangalore is 5-6 Months for weekend batches. We don’t compromise with the quality of teaching and also make sure to complete the course in right time. For other courses refer the course particulars.

What is the prior knowledge I need to have to start this course?

No, you don’t need prior knowledge, but if you have strong fundamentals of statistics, mathematics and basic knowledge of python then it is a bonus.

Will I get any placement assistance from Corpnce?

Placement of an individual depends solely on the candidate’s caliber. There are many factors that determines your placement – Communication, Technical Skills & Projects that you have done during course. And the most important factor is your performance on the D-day.

We do offer 100% Placement assistance to all the deserving candidates and the brighter ones make it to our in-house internship.

Who should learn Machine Learning?

As the term suggest, it is a research and technology oriented job and that’s what makes it interesting and different from other jobs. Machine Learning professionals are the highest paid IT professionals since it needs in depth knowledge of statistics, love for data, logical reasoning, critical thinking, understanding of mathematics and fair amount of programming skills. If you love to explore and have the attitude to learn then you don’t need any masters or PHD degree to become a Machine Learning Engineer. Professionals in different job functions or industries who want to help their company leverage Machine Learning should learn Machine Learning. Apart from students ,other professional who can benefit by learning Machine Learning are database administrators, business analysts , Statisticians, researchers, computer scientists and data engineers.

What is expected from the candidate?

Candidate is suppose to have the basics of Python for DS before enrolling for the course. They shall be evaluated before joining the DS course.

And the candidates need to put in at least 10-12hours of time towards the course over and above the class hours.

Candidates are expected to have their own laptop with Minimum: i3 or equivalent;

What is the career prospect after completing the Machine Learning course?

Student/Fresher: They can expect a starting package of at least 1.5times that of a regular IT job. (For Example: TCS pays a starting package of Rs.6.5Lakhs for New age skills whereas normal IT freshers land up with half the salary;

(Source )

Machine Learning as a career option can save you from the upcoming job-insecurity as well as this is the stepping stone to AI.

Corporate: Individuals from industry can expect at least 35-40% hike; in their current salary upon switching internally to the Machine Learning division and along with this, you can also expect better job security, thanks to the AI revolution.

Do you provide any certification? What’s the value of the certificate?

Corpnce provides self-certification to the candidates upon successful completion of their course. Unlike earlier days industry values subject knowledge over certification hence one should be thorough with the subject

What’s the job scenario in the market?

As per reports of Analytics India magazine there are more than 92000+ Data Science related jobs available in India. So, there is ample of opportunity for freshers & experienced professionals.

What’s differentiates Data Science, Big Data & Data Analytics?

The Data driven decision making starts with relevant data collection for the right problem statement.

In the pipeline Big Data people who are also known as Data Engineers, are responsible for storing, collecting and systemizing the data. They supply right data at right time for analysis.

Data analytics (DA) & Data Science (DS) Engineers use the extracted data to get meaningful insights. DA is more focused towards Data Visualization & Data Screening, they might or might not need any coding skills as most of their work can be done on Excel Sheet/ Spread Sheet. They are more focused towards analyzing the past performance of the company.

Whereas the DS Engineers are more focused towards one very specific branch of statistics – predictive analytics. Here they need to have strong coding skills, math’s & stats skills and most important Machine Learning as a toolkit. So they can predict future performance of a business along with analyzing the past and present.

How is Data Science & Machine Learning related with AI?

Machine Learning & Deep Learning are the subset of Artificial Intelligence (AI). Data Science includes Machine learning & Deep Learning as predictive models along with Exploratory Data Analysis.

A Data Scientist needs to have good ML skills and intuition to raise right question to solve business problems. Whereas, ML & DL engineers are only focus towards specific prediction problems like image processing, Natural language processing (NLP), pattern recognition, Semantics, Crowd Computing, Sentiment Analysis etc. So, in brief a DS knows the fundamentals of all ML & DL techniques for basic problem solving whereas ML engineers are more focused towards specific problems.

Corpnce, the best Machine Learning institute in Bangalore offers intensive hands-on training in ML tools and techniques. To know more about our Machine Learning course fees in Bangalore, Get in touch with us!