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Advanced Machine Learning

Advanced Machine Learning Course

Original price was: INR ₹14,998.00.Current price is: INR ₹7,499.00.

The Advanced Machine Learning course is meticulously crafted for individuals eager to deepen their mastery of sophisticated machine learning techniques and their practical applications. This program delves into complex topics such as ensemble methods, deep reinforcement learning, adversarial training, and transfer learning. Participants will engage in hands-on projects, honing their skills in advanced Python programming and leveraging popular frameworks like TensorFlow and PyTorch. Upon completion, learners will be adept at constructing and deploying cutting-edge machine learning models, fully equipped to tackle the most challenging AI problems.

Course Outline

Introduction to Advanced Machine Learning

  • Overview of sophisticated machine learning techniques.
  • Core concepts and terminology.
  • Practical applications and case studies.

Ensemble Methods

  • Techniques such as Bagging and Boosting.
  • Working with Random Forests.
  • Utilizing Gradient Boosting Machines (GBM), XGBoost, and LightGBM.

Deep Reinforcement Learning

  • Fundamentals of reinforcement learning.
  • Implementing Deep Q-Learning.
  • Understanding Policy Gradients and Proximal Policy Optimization (PPO).

Adversarial Training

  • Exploration of adversarial examples.
  • Techniques for adversarial attacks and defenses.
  • Training robust models to withstand adversarial challenges.

Transfer Learning

  • The significance of transfer learning in modern AI.
  • Working with pre-trained models and fine-tuning them.
  • Domain adaptation strategies and their applications.

Practical Implementation

  • Advanced Python programming for machine learning.
  • Building complex models with TensorFlow.
  • Implementing deep learning models using PyTorch.
  • Deploying models in real-world scenarios.
Eligibility Criteria

Eligibility Criteria

  • Graduate students in Computer Science or related disciplines.
  • Professionals in data science, machine learning, or AI development looking to expand their expertise.
Learning Outcomes

Learning Outcomes

  • Achieve expertise in advanced machine learning techniques.
  • Design, implement, and optimize sophisticated machine learning models.
  • Gain hands-on experience with deep reinforcement learning and adversarial training.
  • Improve model performance through ensemble methods.
  • Utilize transfer learning to enhance model development.
  • Develop advanced Python programming skills and proficiency with TensorFlow and PyTorch.
  • Complete practical projects that demonstrate advanced AI applications.
  • Earn an industry-recognized certificate upon completion.

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Certification

  • Upon successful completion of the workshop, participants will be awarded a Certificate of Completion, validating their skills and knowledge in advanced AI ethics and regulatory frameworks. This certification can be added to your LinkedIn profile or shared with employers to demonstrate your commitment to ethical AI practices.

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