Mastering Artificial Intelligence
Combine the power of Python, Machine Learning , Deep Learning and Artificial Intelligence for Real-World AI applications!
Achieving an Artificial Intelligence certification exemplifies your expertise, commitment and can advance your career. AI is the most trending IT Technologies today and choosing AI career path is the right choice one can make.
CHAPTER 1:INTRODUCTION
- In this course you will learn to implement mathematical ideas in machine learning. You will investigate the process of learning and understand the application of various learning algorithms.
- Prerequisites:
The courses assignments and notes will use python programming language and expects a basic knowledge of python. We assume the student has completed the Machine Learning Foundations or has an equivalent fluency in mathematics and fundamentals.
CHAPTER 2: LINEAR MODELS
- Understand linear approximation and modelling of problems and develop linear models
CHAPTER 3: DIMENSIONALITY REDUCTION
- Use ideas from linear algebra to transform dimensions and warp space providing additional flexibility and functionality to linear models.
CHAPTER 4:SVM
- Develop and implement kernel based methods to develop nonlinear models to solve few complex tasks.
CHAPTER 5:NEAREST NEIGHBOURS, K-MEANS, AND GAUSSIAN MIXTURE MODELS
- Review pattern recognition ideas with distance and cluster based models to understand similarity measures and grouping criteria.
CHAPTER 6:NAIVE BAYES AND DECISION TREES
- Dive into applications of bayes theorem and the use of decision criteria when learning from data.
CHAPTER 7:SEARCH
- Look at search from the perspective of graphs, trees and heuristic based optimizations.
CHAPTER 8:LOGIC AND PLANNING
- Discover ways to encode logic and develop agents that plan actions in an environment.
CHAPTER 9:REINFORCEMENT LEARNING AND HIDDEN MARKOV MODELS
- Engineering agents that learn from a sequence of actions using rewards and penalties.
CHAPTER 10:Q-LEARNING AND POLICY GRADIENT
- Operate in a stateful world over value and policy approximations tasks
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