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Machine Learning & AI-Focused Training A Pathway to Advanced AI Applications
Introduction to Machine Learning Definition of Machine Learning Difference from AI & Deep Learning Computers learningfrom data without explicit programming AI is broader, Deep Learning is a subset of ML
Types of Machine Learning Supervised Learning Unsupervised Learning Reinforcement Learning Clustering, anomaly detection Agents, rewards, policies Labeled data, classification, regression
AI-Focused Applications of ML Computer Vision Natural Language Processing Predictive Analytics Robotics & Automation Face recognition, object detection Stock market, healthcare Chatbots, sentiment analysis Automated tasks, intelligent machines
ML Workflow & Process Data collection & preprocessing 1 Model selection & training 2 Evaluation & fine-tuning 3 Deployment & monitoring 4
Essential ML Algorithms Linear Regression & Logistic Regression Decision Trees & Random Forest 1 2 Predicting continuous or categorical values Tree-based models for classification and regression Support Vector Machines (SVM) Neural Networks & Deep Learning 3 4 Finding the best hyperplane for classification Complex models inspired by the human brain
AI Tools & Frameworks Python Libraries Deep Learning Frameworks NumPy, Pandas, Scikit-Learn TensorFlow, PyTorch
Hands-On Projects & Case Studies Sentiment Analysis on Tweets Image Classification with CNNs Analyzing public opinion and brand perception Classifying images into different categories
Career & Future Scope in ML & AI ML Engineer, Data Scientist, AI Researcher 1 2 Industry Demand & Salary Trends Emerging Technologies 3 AutoML, Generative AI
Training & Certification in Chandigarh 1 Best Institutes for ML & AI Training 2 Curriculum & Course Duration 3 Placement Assistance & Internships
Conclusion & Final Thoughts Recap of Key Takeaways Machine Learning is transforming the world Importance of Continuous Learning Stay updated with the latest advancements Next Steps for Learners Start your ML journey, explore opportunities
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