Course Description
Machine Learning is a wide area of Artificial Intelligence focused in design and development of an algorithm that identifies and learn patterns exist in data provided as input. AI is the catalyst for IR 4.0. This innovation will set an additional or a new approach of governing and managing organizations, particularly companies. The Artificial Intelligence course including deep learning course using Tensor Flow and Keras libraries in Python. Artificial intelligence is also a branch of Machine Learning and hence this program includes Machine Learning course, which is sometimes also called as Data Mining Supervised Learning. Big Data Hadoop training e-learning is provided along with this deep learning course to ensure that handling images become easy. Master in Machine Learning workshop, Artificial Intelligence workshop and Big Data workshop as part of the AI and Deep Learning training. Our Artificial Intelligence course syllabus includes all the latest algorithms including ANN, MLP, CNN, RNN, LSTM, Autoencoders and many more and this course is considered to be best artificial intelligence course in this region. There are a lot of amazing Artificial intelligence jobs available and most of our students went on to join the fortune 100 companies. Entire machine learning training, big data training and artificial intelligence training is driven using live industry relevant case studies. What are you waiting for, enroll now for the best artificial intelligence course and master in artificial intelligence and pioneer your career into the most happening artificial intelligence companies.
Course objectives
An overview of how humongous data is getting generated, how to draw meaningful business insights, techniques used to analyze structured & unstructured data, latest machine learning algorithms used to build advanced prediction models & how to visualize data. All these are learned from the perspective of solving complex business problems & making organizations profitable. Practical case studies which are industry relevant have been making our students stand-out from the rest & achieve outstanding accolades from the best companies of the globe. Our students have been leaving new footprints in the corporate world by becoming industry-ready as soon as they graduate from colleges.
Requirements
Computer skills, basic mathematics knowledge & Knowledge on Basic Data Science concepts
Who should attend
- Candidates aspiring to be a Data Scientist, Big Data Analysists, Analytics Manager/Professionals, Business Analyst, Developer
- Graduates who are looking to build a career in Data Science and Machine Learning
- Employees – Organization is planning to shift to Big data tools
- Mid-level Executives
- Managers with Knowledge of basic programming
Course Curriculum
Module 1 - Demo
- Data Types
- Random Variable
- Probability
- Probability Distribution
- Sampling Funnel
- Measure Of central tendency
- Measures of Dispersion
- Expected Value
- Graphical Techniques
- Introduction to R
- R Studio
- Introduction to Python (Installation basic commands)
- Python & R Contd...Skewness & Kurtosis
- Box Plot
- Normal Distribution
- Sampling Variation
- CLT
- Confidence interval
- Intro to HT, 2 sample t test, 1 sample tests
- Other parametric and non parametric tests
- By R Code
- Scatter Diagram
- Corr Analysis
- Principles of Regression
- Intro to Simple Linear Regression
- Multiple Linear Regression
- Principles of Logistic regression
- Multiple Logistic Regression
- ROC curve
- Gain chart
- Binomial
- Neg Binomial
- Possion
- Poission
- Neg Binomial
- Models with Excessive '0's
- Multinomial Regression
- Naïve Bayes
- Decision Tree & Random Forest
- Bagging and boosting
- ANN & SVM
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