Cloud Acedemy – Getting Started with Deep Learning: Introduction To Machine Learning

机器学习是人工智能的一个分支，它处理来自训练数据的学习模式和规则。在 Cloud Academy 的本课程中，您将了解有关其结构和历史的所有信息。它的起源可以追溯到上个世纪中叶，但在过去十年中，公司已经利用其产品的资源。机器学习的这场革命是由三个因素促成的。

首先，内存存储变得经济且易于访问。其次，计算能力也变得容易获得。第三，传感器、手机和网络应用程序产生了大量数据，这些数据有助于训练这些机器学习模型。本课程将指导您了解机器学习的基本原理、基础和最佳实践。在深入学习和神经网络之前，最好能够理解和解释这些基础知识。本课程由 10 个讲座和两个附带解决方案的练习组成。此 Cloud Academy 课程是更广泛的数据和机器学习学习路径的一部分。

MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Difficulty: Beginner | Genre: eLearning | Language: English | Duration: 22 Lectures (2h 4m) | Size: 1.7 GB

What you’ll learn:
Learn about the foundations and history of machine learning
Learn and understand the principles of memory storage, computing power, and phone/web applications.

Description
Machine learning is a branch of artificial intelligence that deals with learning patterns and rules from training data. In this course from Cloud Academy, you will learn all about its structure and history. Its origins date back to the middle of the last century, but in the last decade, companies have taken advantage of the resource for their products. This revolution of machine learning has been enabled by three factors.

First, memory storage has become economic and accessible. Second, computing power has also become readily available. Third, sensors, phones, and web application have produced a lot of data which has contributed to training these machine learning models. This course will guide you to the basic principles, foundations and best practices of machine learning. It is advisable to be able to understand and explain these basics before diving into deep learning and neural nets. This course is made up of 10 lectures and two accompanying exercises with solutions. This Cloud Academy course is part of the wider Data and Machine Learning learning path.