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Machine Learning Advanced Program

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Introducing Machine Learning Advanced Program

3 Month Program

5/5

(4.8 reviews)

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About Machine Learning Advanced Program

Our Machine Learning course will provide comprehensive training in Machine Learning concepts and techniques, including supervised and unsupervised learning ,and hands-on modeling to develop algorithms. By the end of the course, you will have advanced knowledge and expertise in Machine Learning, preparing you for a successful career in the field. Our program will enable you to become an expert in ML by delving into the nuances of algorithms, and developing powerful programming skills. These skills will help you advance your career in Data Science.

  • Key Features
    • In-Depth Curriculum: Comprehensive courses covering supervised and unsupervised learning, ensemble learning, and advanced algorithms.
    • Practical Experience: Hands-on projects and assignments using real-world datasets to apply machine learning techniques.
    • Advanced Tools and Technologies: Training on tools like Pandas, NumPy, Scikit-Learn, and SciPy.
    • Expert Instructors: Courses taught by experienced professionals and researchers in the field.
    • Interactive Learning: Engaging content with quizzes, peer interactions, and collaborative projects.
    • Capstone Projects: Real-world capstone projects to demonstrate mastery of machine learning concepts.

Curriculum

Duration: 3 Month

5/5

(4.8 reviews)

  • Introduction to Machine Learning
  • Data Wrangling
  • Feature Engineering
  • Supervised Learning-Classification and Regression
  • Unsupervised learning
  • Ensemble Learning
  • Capstone Project
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Know more about the course:

A machine learning advanced program delves deeply into a range of advanced subjects, including algorithms, techniques, and applications within the field of machine learning. This program is specifically designed for individuals who already possess a strong grasp of basic machine learning concepts and are seeking to further enhance their skills and knowledge.

Outlined below are the key areas that a machine learning advanced program may cover:

1. Advanced Algorithms:
– Deep learning: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transformers, and more.
– Reinforcement Learning: Q-Learning, Deep Q-Networks (DQN), Policy Gradient methods, Actor-Critic methods, and more.
– Ensemble methods: Random Forests, Gradient Boosting Machines (GBMs), Stacking, and more.
– Unsupervised learning techniques: Clustering algorithms (k-means, DBSCAN, hierarchical clustering), Dimensionality Reduction (PCA, t-SNE, UMAP), and more.

2. Advanced Optimization Techniques:
– Various optimization algorithms: Adam, RMSprop, AdaGrad, and more.
– Learning rate schedules and strategies for tuning hyperparameters.
– Regularization techniques: L1 and L2 regularization, dropout, batch normalization, and more.

3. Deep Learning Architectures and Applications:
– Advanced neural network architectures: CNN architectures (e.g., ResNet, Inception, VGG), RNN architectures (e.g., LSTM, GRU), attention mechanisms, and more.
– Natural Language Processing (NLP) applications: Named Entity Recognition (NER), Sentiment Analysis, Machine Translation, and more.
– Computer Vision applications: Object Detection, Image Segmentation, Image Captioning, and more.
– Transfer learning and fine-tuning pre-trained models.

4. Reinforcement Learning and Robotics:
– Markov Decision Processes (MDPs), Policy Iteration, Value Iteration.
– Applications in robotics and game playing.
– Deep Reinforcement Learning: Deep Q-Networks (DQN), Policy Gradient methods, Actor-Critic methods, and more.

5. Advanced Topics in Machine Learning:

  • Adversarial machine learning: Generative Adversarial Networks (GANs), Adversarial Attacks and Defenses.
  • Bayesian machine learning: Bayesian inference, Probabilistic Graphical Models (PGMs), Bayesian Neural Networks.
  • Causal Inference: Counterfactuals, Do-calculus, Causal Graphs.
  • AutoML and Hyperparameter Optimization.

Download The App

Download the VijAI Robotics app now to embark on a transformative journey in Python, Machine Learning, Artificial Intelligence, Data Analytics, and Big Data.

Whether you’re an aspiring learner or a seasoned professional, this app offers comprehensive certification programs tailored to the dynamic fields of data science.

Immerse yourself in top-tier courses and stay ahead in the ever-evolving landscape of technology.

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