...
Full Bio
Today's Technology-Data Science
138 days ago
How to build effective machine learning models?
138 days ago
Why Robotic Process Automation Is Good For Your Business?
138 days ago
IoT-Advantages, Disadvantages, and Future
139 days ago
Look Artificial Intelligence from a career perspective
139 days ago
Every Programmer should strive for reading these 5 books
570948 views
Why you should not become a Programmer or not learn Programming Language?
223758 views
See the Salaries if you are willing to get a Job in Programming Languages without a degree?
149721 views
Highest Paid Programming Languages With Highest Market Demand
133542 views
Python Programming Language can easily be acquired easily. How?
123333 views
Every Engineer Should Attend These Machine Learning Events In India 2019
- Understanding the different branches of AI i.e. Fuzzy Logic, Expert Systems, Natural Language Processing, Artificial Neural Networks and Bayesian Network, Machine Learning, Deep Learning, Robotics, Robotic Process Automation.
- Sharing relevant industries case studies to develop the ability to make decisions related to AI strategy for the organization.
- Helping organizations in building an effective roadmap for RPA to improve precision & productivity in a timely manner.
- Also, the emphasis is given on implementing RPA with AI in eliminating errors by 90% and boost your current process by 40% to attain a high standard of service.
- Plus, the participants attending the master class will be certified by ANEXAS Europe (who are accredited with IASSC, the only independent third-party certification body within the Lean Six Sigma Industry), as AI Foundation Trained Professional.
- Participants will get 16 PDUs /CEUs with the certificate.
- Fundamentals of ML
- Data Processing
- Linear Regression
- Gradient Descent Algorithm
- Hyperparameters Grid Search
- Classification
- Python Programming
- 2 Days of Training
- Resource material
- Service tax and VAT
- Certification
- Artificial Intelligence: A Brief Overview
- Introduction to Machine Learning
- Overview of mathematics for AI
- Introduction to Jupyter Notebook
- Python Foundation
- Overview of Numpy, Matplotlib & Scikit
- Introduction to Neural Networks & Deep Learning
- CNN & RNN
- Overview of Tensorflow
- Practical Applications Using Tensorflow
- Machine Learning Case Studies
- Neural Network & Deep Learning Case Studies
- Cloud-based managed AI Services
- Newbies who are not familiar with AI or its implications
- Developers aspiring to be a data scientist or machine learning engineer
- Analytics managers
- Analytics professionals
- Business analysts
- Information architects
- You will have a basic understanding of Artificial Intelligence and Machine Learning and the impact of these emerging technologies in the industry.
- You will be able to define key terminology used in AI space
- Acquire knowledge of the statistical and heuristic aspects of machine learning
- Learn about major applications of AI across various fields like customer service, financial services, healthcare etc.
- Gain practical mastery over principles, algorithms, and applications of machine learning
- Comprehend theoretical concepts and how they relate to the practical aspects of machine learning