What is Machine learning Training about ?
Machine Learning is the process to make the machine learn on its own without any programming. It consists of continuously feeding data to the machine so it can learn on its own.
Machine learning is the process of giving knowledge to any Machine through processes ,experience and common sense. Let's say we want to teach a phone camera to identify a male face. So through different processes and algorithms, experience and data, we will teach it the features of a male face. A machine uses experience to Learn. So the next time, it will be able to recognize a male face on its own. The Machine predicts using pre-stored data.
Machine Learning has many needs and importance. The world around us is changing fast and technology is evolving day by day. Things of which we could only think earlier are being used by us. We can now book, order anything with just a click and what not. Self-driving cars are coming to use, drones are being used for food delivery.
All these technologies are very advanced and sometimes quick decisions are to be made which need common sense. Decisions are not always technical and sometimes may be a matter of life and death.
Therefore There is a huge immense of Machine Learning in this tech age. Machines need to be given decision making skills just like humans.
What will you learn in Machine learning Training
- Introduction to Data science, Python
- Data Manipulation in Python
- Machine Learning (Unsupervised Learning)
- Introduction to Logistic Regression
- Introduction to Time Series Analysis
- Introduction to KNN
- Natural Language Processing
- Deep Learning
What will you be able to do after Machine learning training ?
- Data Visualization with Python
- Clustering
- Pattern Mining
- Market Basket Analysis with Python
- Logistic Regression
- Neural Nets
- Regularization Techniques
- Natural Language Processing
- Deep Learning
Who should take Machine learning Training and what is the prerequisite ?
This course teaches experienced developers, architects, and team leaders the foundations of building machine learning solutions. It covers concepts of data handling, going through data exploration, and finishing with an algorithms overview. Attendees get the knowledge of modern tools and the appropriate way of thinking that are crucial for being successful with machine learning. They also upgrade take their skills with the foundations of neural networks, deep learning, and TensorFlow to develop robust deep learning solutions.
Pre-requisite:
- Basic knowledge of statistics would be good
- Basic Programming skills
Career Prospects
Our Dependency on Machines are accerlerating and it is very important now for a machine to have understanding and decision making ability.
Machine Learning has a very bright future and it will be used even in the simplest machines in the coming years.
