Machine Learning Training in Delhi
Overview
Why Machine Learning is gaining immense popularity these days? What the hell is Machine Learning anyway? Why things around us starting to get into automation mode? Why Amazon Alexa and Google Home are playing with our lifestyles? All these questions keep hovering in our mind and make us think how technology is fast evolving and how they will shape up our lives. Machine learning is basically an approach to artificial intelligence that’s focused on making machines which can learn without being explicitly programmed. How to find out the best Machine Learning Training in Delhi? Aedifico is one such premium Machine Learning training in Delhi institute, providing technical training to the professionals and to the students. Let us look at how machine learning helps in shaping your career. Machine learning is the domain where algorithms and statistics come together and make the innovative concepts like prediction, recognition and forecasting. Various processes involved in preparing raw data of any vertical (finance, Electrical, Electronics, Healthcare etc.) into the data ready to be processed in the algorithms related to machine learning. Right from the pre-processing stage followed by training stage and then the testing stage. All the stages are comprehensively covered in the machine learning training program.
Machine learning is closely related to (and often overlaps with) computational statistics, which also focuses on prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field. Machine learning is sometimes conflated with data mining, where the latter subfield focuses more on exploratory data analysis and is known as unsupervised learning. Machine learning can also be unsupervised and be used to learn and establish baseline behavioral profiles for various entities and then used to find meaningful anomalies.
Aedifico provides best in class ‘Best Machine Learning Training in Delhi’ with real problem statement solving assignments to impart a practical hands-on knowledge to the aspiring candidates. Various case studies will be shared during the training tenure for an enrich projects experience and also you will have a chance to compete with other students in our ‘Job Assured Programs’ where 100% placement is guaranteed, side by side you can learn interpersonal skills, language skills, resume writing skills, interview skills, group discussions so that you can get ready for the ultimate battle in outside competitive world. Starting Packages from Rs 4999/-
Curriculum
Introduction to Numpy
Class and Attributes of ndarray
Mathematical Functions of Numpy
Scientific computing with Python
Integration and Optimization
Eigenvalues and Eigenvector
Sub Package-Statistics, Weave and IO
Understanding DataFrame
Using Pandas module
Importing data from various sources (csv, txt, excel)
Sorting, filtering, duplicates, merging, appending,
subsetting, sampling, formatting
stripping out extraneous information
Normalizing data
What is Machine Learning?
When should we use Machine Learning?
Prediction and Forecasting Analysis
Machine Learning Approaches and Predictive Modelling
Supervised Learning vs Unsupervised Learning
Regression vs Classification vs Segmentation vs forecasting
What is supervised learning?
Support Vector Machine Introduction
Preparing Data for SVM training
Kernel function selection for specific data
Testing of DATA using SVM classify function
How binary SVM is modified for Multi class as multi class SVM
Face recognition case study using SVM on ORL dataset
Neural network implementation
Training Neural Network using LM training function
Viewing the Network
Validating the network
Testing the Network
Comparison of results of SVM and Neural network
What is unsupervised learning?
Clustering Algorithms Groups the data together based on the data features
K-means Clustering
Fuzzy C-means Clustering
Self Organising Maps
Gaussian Mixture Model
Convolutional Neural Network
Digit Recognition system implementation using CNN
Deep Belief Neural Network
Digit Recognition system implementation using DNN
Dimensionality Reduction Technique
PCA – Principal Component Analysis
Non Negative Matrix Factorization
Color Based Segmentation using Fuzzy C means
Color Based image segmentation using K-means
Face Recognition system using support Vector Machine
Face recognition using Neural Networks
Real time Gesture Recognition system implementation using CNN deep learning method
