machine learning is the pillar of artificial intelligence projects and today industry is heading towards ai projects from traditional software project. today, every organization wants better personalization, smarter recommendations, and improved search functionality to enhance their user experience and creating value across many industries.
the basic difference between ai driven project and traditional project lies in the technology stack, the skills required for an ai-based project, and the necessity of deep research. to implement your ai aspirations, you should use a programing language that is stable, flexible, and has tools available. python offers all of this, which is why we see lots of python ai projects today. benefits that make python the best fit for machine learning and ai-based projects include simplicity and consistency, access to great libraries and frameworks for ai and machine learning (ml), flexibility, platform independence, and a wide community. these add to the overall popularity of the language.
affluenz it academy will make you a machine learning expert who will have detailed insight on focus on deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks- that have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation etc. that you can very well design, build and develop using python programming language
Module 1 - introduction to machine learning
Module 2 - types of learning algorithms
Module 3 - machine learning techniques
Module 4 - data science with python
Module 5 - python environment setup and essentials
Module 6 - live project on big data & hadoop
Module 7 - certification & closure
Module 1 - introduction to machine learning
Module 2 - types of learning algorithms
Module 3 - machine learning techniques
Module 4 - advanced machine learning features
Module 5 - data science with python
Module 6 - python environment setup and essentials
Module 7 - advanced python
Module 8 - programming with python
Module 9 - live project on python
Module 10 - certification & closure