Machine Learning Practical Course: Build Real World Projects

机器学习已经融入了我们的日常生活——甚至在我们没有注意到的情况下。机器学习算法一直在为我们周围的世界提供动力，这包括沃尔玛的产品推荐、各种顶级金融机构的欺诈检测、优步的动态定价，以及 LinkedIn、Facebook、Instagram 和 Twitter 在用户上使用的内容’ feed，这些只是几个例子，直接基于我们的日常生活。

话虽这么说，但不用说，未来已经来临——机器学习在我们当代想象中发挥着重要作用。例如，马克·库班 (Mark Cuban) 曾说过：“人工智能、深度学习、机器学习——无论你在做什么，如果你不理解——学习它。因为否则你将在 3 年内成为恐龙。”

机器学习嘲笑任何可以称为“重要”的东西——无论是在金融还是在全球范围内。如果您希望将您的职业提升到另一个层次，机器学习可以为您做到这一点。如果你希望自己参与到一些事情中，这将使你成为全球和当代相关事物的一部分，那么机器学习也可以为你做到这一点。

机器学习涵盖了各个垂直领域的重要领域——包括图像识别、医学、网络安全、面部识别等。随着越来越多的企业意识到商业智能受到机器学习的深刻影响，因此选择对其进行投资。

仅举一个例子，Netflix 宣布了一项价值 100 万美元的奖金，奖励第一个能够通过将其准确率提高 10% 来改进其 ML 算法的人。这是确凿的证据，表明即使 ML 算法略有改进，也会为使用它们的公司带来巨大的利润，因此，它们背后的人也是如此。有了 ML，您就可以成为他们中的一员！

如今，最好的机器学习工程师的薪水与非常受欢迎的体育名人一样多！这并不夸张！据 Glassdoor 称，机器学习工程师的平均年薪为 80 万卢比——这才刚刚开始一个人的职业生涯！一位经验丰富的机器学习工程师每年可带回家 15 至 230 万卢比。

Updated 10/2022
Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 48.0 KHz
Language: English | Size: 11.0 GB | Duration: 173 lectures • 19h 29m

Learn To Build Machine Learning Projects Practically

What you’ll learn

• Real life case studies and projects to understand how things are done in the real world
• Implement Machine Learning Algorithms
• Learn to create machine learning models
• Learn best practices for real-world data sets.

Requirements

basic knowledge of machine learning

Description

Machine learning has inserted itself into the fiber of our everyday lives – even without us noticing. Machine learning algorithms have been powering the world around us, and this includes product recommendations at Walmart, fraud detection at various top-notch financial institutions, surge pricing at Uber, as well as content used by LinkedIn, Facebook, Instagram, and Twitter on users’ feeds, and these are just a few examples, grounded directly in the daily lives we live.

This being said, it goes without saying that the future is already here – and machine learning plays a significant role in the way our contemporary imagination visualises it. Mark Cuban, for instance, has said: “Artificial Intelligence, deep learning, machine learning — whatever you’re doing if you don’t understand it — learn it. Because otherwise you’re going to be a dinosaur within 3 years.”

Machine learning makes a mockery of anything that can be called “important” – both at a financial as well as a global scale. If you are looking to take your career to another level, Machine Learning can do that for you. If you are looking to involve yourself in something that will make you part of something that is global as well as contemporary relevance, Machine Learning can do that for you as well.

Machine learning covers significant ground in various verticals – including image recognition, medicine, cyber security, facial recognition, and more. As an increasing amount of businesses are realising that business intelligence is profoundly impacted by machine learning, and thus are choosing to invest in it.

Netflix, to take just one example, announced a prize worth $1 million to the first person who could sharpen its ML algorithm by increasing its accuracy by 10%. This is sureshot evidence that even a slight enhancement in ML algorithms is immensely profitable for the companies that use them, and thus, so are the people behind them. And with ML, you can be one of them!

The best machine learning engineers these days are paid as much as immensely popular sports personalities! And that’s no exaggeration! According to Glassdoor, the average machine learning engineer salary is 8 lakhs per annum – and that’s just at the starting of one’s career! An experienced machine learning engineer takes home anywhere between 15 to 23 lakhs per annum.

Who this course is for

Beginners in machine learning