Machine Learning & Artificial Intelligence
Machine Learning & Artificial Intelligence?
Machine Learning (ML) is a subset of artificial intelligence (AI) that enables systems to learn from data and improve their performance over time without explicit programming. It uses algorithms to analyze patterns in data, make predictions, and automate decision-making. Machine learning can be categorized into three main types: supervised learning, unsupervised learning, and reinforcement learning.
Artificial Intelligence (AI) is a broader field that focuses on creating systems capable of performing tasks that typically require human intelligence. These tasks include problem-solving, understanding natural language, recognizing patterns, and making decisions. AI encompasses machine learning, but also includes other areas such as natural language processing (NLP), robotics, and computer vision.
In essence, while machine learning is a technique used to build intelligent systems, AI is the broader goal of creating machines that can simulate human-like intelligence.
Advanced Machine Learning & Artificial Intelligence Course Objectives:
- Master advanced machine learning algorithms, including ensemble methods, deep learning, and reinforcement learning.
- Gain expertise in natural language processing (NLP) for text analysis, sentiment analysis, and language generation.
- Learn advanced computer vision techniques for image classification, object detection, and image segmentation.
- Explore the principles and applications of neural networks, including convolutional and recurrent neural networks (CNNs and RNNs).
- Develop skills in model deployment and optimization for real-time AI applications.
- Work on large-scale datasets using big data tools like Apache Spark and TensorFlow.
- Solve real-world AI problems through hands-on projects and case studies in domains such as robotics, finance, and healthcare.
Machine Learning & AI Training (6 Weeks)
Develop core skills in building intelligent systems with Machine Learning and AI:
- Machine Learning Foundations: Linear regression, decision trees, and clustering.
- Deep Learning: Neural networks, CNNs, RNNs, and TensorFlow basics.
- Natural Language Processing (NLP): Tokenization, sentiment analysis, and chatbots.
- AI Applications: Image recognition, recommendation systems, and predictive analytics.
- Model Deployment: Using Flask, Docker, and cloud platforms for model serving.
- Capstone Project: Building and deploying a real-world AI solution.
Web Design and User Interface Development Training - At SRG Global Technologies, we offer a 5-week intensive training program on User Interface/Front-End Development to equip participants with the skills needed to create rich, engaging, and visually appealing products for end-users worldwide. Our program covers the depth of UI development concepts and tools, preparing you to design and implement modern, responsive web applications.