Machine Learning & Deep Learning

Course Description

Machine Learning covers a detailed overview of various algorithms and techniques, such as regression, classification, time series modeling, and supervised and unsupervised learning. Natural Language Processing, etc. You will also use Python programming language to write code for implementing numerous algorithms in this certification training. This class will familiarize students with a broad cross-section of models and algorithms for machine learning, and prepare students for research or industry application of machine learning techniques.

You will learn how to build neural networks and learn how to lead successful deep-learning projects. You will learn about Convolutional networks, RNNs, and LSTM. Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow.

What You’ll Learn From This Course

• Fundamental Concepts of Machine Learning: Understand the core principles, algorithms, and methodologies used in machine learning, including supervised and unsupervised learning approaches.
• Deep Learning Architectures: Learn about neural networks, backpropagation, and activation functions, enabling you to build powerful deep learning models for various applications.
• Image Recognition and Computer Vision: Discover Convolutional Neural Networks (CNNs) and their applications in image classification, object detection, and computer vision tasks.
• Natural Language Processing (NLP): Explore Recurrent Neural Networks (RNNs) and their use in processing sequential data, including language translation, sentiment analysis, and text generation.
• Practical Project Experience: Gain hands-on experience by working on real-world projects, enabling you to apply the learned concepts and techniques effectively in solving practical problems.

Certification

Upon successful completion, this Machine Learning & Deep Learning  course will provide you with a certificate recognized by the STED Council. The certificate adds value and recognition to your achievement, as STED Council is a reputable and internationally recognized accreditation body. Your certification will reflect your competence in AI and align with global standards, further enhancing your credibility in the field.