Course Details
- Placement 500+
- Duration 2 Months
- Enrolled 650 students
- Language Hindi / English
- Certificate Yes
Embark on a journey into the world of artificial intelligence with our comprehensive Introduction to Machine Learning course at CADL. This course is designed to equip you with the essential knowledge and skills to understand and apply machine-learning techniques to real-world problems. Our experienced instructors will guide you through the fundamental concepts, algorithms, and practical applications of machine learning, providing a solid foundation for your future endeavors in this exciting field.
Machine learning is a branch of artificial intelligence (AI) that focuses on building systems capable of learning from data and improving their performance without being explicitly programmed. In a machine learning program, algorithms are designed to analyze and interpret patterns in data, enabling computers to make predictions, classify information, or make decisions based on past experiences. This program covers a wide range of topics including supervised and unsupervised learning, neural networks, decision trees, support vector machines, and deep learning. Machine learning is used in various applications such as recommendation systems, speech recognition, autonomous driving, and fraud detection, making it a crucial technology in modern industries
Machine learning offers a wide range of benefits across various industries and applications. Here are some key advantages:
By completing our Machine Learning program at CADL, you'll be equipped with the knowledge and skills to harness the power of machine learning and drive innovation in your field. You'll have a deep understanding of fundamental concepts, practical experience with various algorithms, and the ability to apply machine-learning techniques to real-world problems. As a graduate of our program, you'll be well-prepared to contribute to the latest advancements in machine learning and artificial intelligence. Enroll now!
We will help you to get familiarised with 20+ industry-leading tools used by Digital marketing experts and agencies across the country. These tools help you to gain analytical edge and automation power to define your brand journey.
AI tools have taken digital marketing to the next level by delivering results in just one click. Here’s a list of AI tools taught during the online course that’ll set you apart from the crowd in the industry.
False positives are those cases that wrongly get classified as True but are False. False negatives are those cases that wrongly get classified as False but are True.
Model Building, Model Testing & Applying the Model.
Supervised learning - This model learns from the labeled data and makes a future prediction as output
Unsupervised learning - This model uses unlabeled input data and allows the algorithm to act on that information without guidance.
Transfer learning and domain adaptation refer to the situation where what has been learned in one setting is exploited to improve generalization in another setting.