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Open House Workshop on Machine Learning for Mumbai, Pune & Bengaluru
22 January @10:00 am - 26 January @6:00 pm
14 January 2018 – 15 January 2018 (10:00 AM to 6:00 PM)
Location : Mumbai, Pune, Bengaluru, Delhi NCR
Fees : Rs 15,000 Per Participant + Tax
|Module 1||Introduction to Machine Learning and Artificial Intelligence
Supervised and Unsupervised learning, a peek into Reinforcement Learning
Real life use-cases – the latest trends.
Cost Function of Linear Regression
Gradient Descent objective
Introduction to ‘R’ and ‘Python’ for hands-on
Build your First Machine Learning Model – learn each parameters, improve the efficiency of the model.
|Module 2||Introduction to Classification
Logistic Regression ( Maximum Likelihood Estimation )
|Module 3||Decision Trees, CART – understand Maximum Entropy, Gini Impurity
Hands-on of Decision Trees – build a model to detect possible loan defaulters
Bagging – Random Forest
Boosting – AdaBoost, Gradient Boosting, XGBoost
|Module 4||Support Vector Machines (SVM)
Hands on model building with SVM – build an OCR tool
|Module 5||Neural Networks
Forward and Backward Propagation
Different Activation Functions – tanh, RelU, Leaky RelU
Hands on in Keras with TensorFlow as backend
Different Optimization algos and other hyperparameters
k-Means with hands-on
Social Media analysis (build the model) with k-means
Market Basket analysis
|Module 7||Computer Vision – Image recognition
Convolution, Padding, Fully-connected layers in CNN
Auto-Encoders, Boltzman machines, RNN
|Module 8||Introduction to NLP
Stemming, Text to features, TF-IDF
Build a model to detect spam messages from ham
The overall goal of this training is to enable developers to create and understand basic CQ development practices and to prepare themselves for project work under the lead of a senior web developer. This course is not intended to provide any custom instruction focused on specific sites or projects.
Content Outline :
Machine Learning fundamentals with a peek into Neural Networks and Deep Learning.
Learn various models with hands-on.
At the end of this course, you will actually build ML models and gain better understanding of how to progress your career in AI/ML.
Who Should Attend this course:
Open for all Professionals.
Benefits of attending the program :
Get a headstart in your career in Machine Learning
Surya bears excellent knowledge of development of learning algorithms in R, Python with hands-on experience in building Large Scale Machine Learning Solutions. He is certified in Machine Learning from Stanford University and certified from DeepLearning.ai (via Couresra) in Neural Networks & Deep Learning. He has delivered more than 15 training assignments for corporate, institutes with batches of different experience levels. He has delivered trainings on Machine Learning in Fortune 500 companies like Goldman Sachs, Oracle and many more. He is currently associated with IIHT & Zenrays for delivering Artificial Intelligence & Machine Learning content.
Terms and Conditions:
InnoServ reserves the right to change the date, time and venue if required, the participants will be notified of the same at least two days before the event.
In Case the required nominations are not met, InnoServ reserves the right to cancel the event, this would be notified at least 4 days before and the registration amount will be refunded. The company will not be responsible for bookings related to travel/stay etc.