Published 9/2024
Created by Academy of Computing & Artificial Intelligence,Maninda Wickrema Edirisooriya
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 71 Lectures ( 25h 23m ) | Size: 9.31 GB
Master AI with Advanced Machine Learning & Deep Learning Techniques: From Neural Networks to Transformers and Beyond
What you’ll learn:
Machine Learning
Deep Learning
Preprocessing
Data Science journey
Requirements:
Basic Mathematics & Python knowledge
Description:
Welcome to the Advanced Machine Learning & Deep Learning Masterclass 2024! This comprehensive course is designed for both business professionals and researchers, offering over 24 hours of in-depth video content. Whether you’re new to Python programming or experienced in the field, this course equips you with essential machine learning and deep learning techniques, from foundational Python skills to advanced neural network architectures.What You Will Learn:Python for Machine Learning: Set up the environment, use popular tools like Anaconda and PyCharm, and learn Python basics through step-by-step tutorials.Data Understanding & Preprocessing: Dive deep into statistical analysis, data pre-processing techniques, feature selection, and data visualization with Python.Artificial Neural Networks: Build neural networks from scratch, explore deep learning frameworks like Keras, and implement a full deep learning project on handwritten digit recognition.Advanced Deep Learning Mastery: Go beyond the basics with comprehensive modules on Convolutional Neural Networks (CNNs), transformers, large language models, and deep generative models. You’ll learn how to construct and train models that power today’s AI innovations, including reinforcement learning and sequence models.Naive Bayes Classifier & NLP: Learn the fundamentals of Naive Bayes classification and explore natural language processing, including tokenization, part-of-speech tagging, and real-world NLP projects.Linear & Logistic Regression: Master regression models with hands-on demos for univariate and multivariate scenarios.With practical hands-on demos, coding exercises, and real-world projects, this course is ideal for data scientists, AI enthusiasts, and anyone eager to master machine learning and deep learning concepts. By the end, you’ll have the knowledge and skills to apply these techniques to complex, real-world problems.Enroll today and take your machine learning expertise to the next level!
Who this course is for:
Beginners with Python knowledge
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