Master Course : Fundamentals Of Machine Learning (101 Level)

Master Course : Fundamentals Of Machine Learning (101 Level)
Published 8/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

Machine Learning, Supervised Machine Learning, Unsupervised Machine Learning, Deep Learning, TensorFlow, Keras, NLP

What you’ll learn

Foundations of Machine Learning: Preprocessing, Supervised Learning, and Beyond

Mastering Machine Learning: Unsupervised Techniques, Model Evaluation, and More

Feature Engineering and Deep Learning: Unlocking the Power of Data

TensorFlow, Keras, and NLP: Building Bridges to Natural Language Understanding

Visualizing the Future: Computer Vision, Reinforcement Learning, and Ethical Dilemmas in AI

Requirements

Basic skills and ideas of machine learning and deep learning

Description

Overview

Section 1: Master Course : Fundamentals of Machine Learning (101 level) – Lectures

Lecture 1 Foundations of Machine Learning: Preprocessing, Supervised Learning, and Beyond

Lecture 2 Mastering Machine Learning: Unsupervised Techniques, Model Evaluation, and More

Lecture 3 Feature Engineering and Deep Learning: Unlocking the Power of Data

Lecture 4 TensorFlow, Keras, and NLP: Building Bridges to Natural Language Understanding

Lecture 5 Visualizing the Future: Computer Vision, Reinforcement Learning, and Ethical.

All UG and PG Computer Science and Information Technology and Business Systems Domain Students,Interested students to learn about the concepts of Fundamentals of Machine Learning (101 level)