Machine Learning for Mere Mortals

借助机器学习（ML），您可以预测结果，识别趋势并提出即时建议，从而消除市场营销，定价和其他关键业务活动中的猜测

您可以用机器学习做什么？

使用社交媒体数据在您的用户面前展示正确的广告
预测哪些客户将及时离开以阻止他们
实时的产品定价，以应对竞争和需求，
创建智能的SPAM过滤器
从图像中读取文本和数字

如果您是一位中庸的Python程序员，那么您可以学习做所有这些事情，甚至更多！面向凡人的机器学习是一门实用的视频课程，它将使您从无知的初学者带入使用Python和Tensorflow的令人难以置信的机器学习世界！
关于本主题
使用机器学习（ML），您可以预测结果，识别趋势并提出即时建议，以消除市场营销，定价和其他关键业务活动中的猜测。快速浏览工作板将告诉您，机器学习已成为目前最热门的工作技能之一。你不能错过！

h264, yuv420p, 1364×768 |ENGLISH, aac, 44100 Hz, stereo, s16 | 3h 34 mn | 2.7 GB
Instructor: Nicholas Chase

With machine learning (ML), you can predict outcomes, identify trends, and make on-point recommendations that take the guesswork out of marketing, pricing, and other key business activities

What can you do with machine learning?

Use social media data to put the right ads in front of your users
Predict which customers are going to leave in time to stop them
Real-time product pricing that reacts to competition and demand
Create smart SPAM filters
Read text and numbers from images

If you’re a halfway decent Python programmer, you can learn to do all these things and much more! Machine Learning for Mere Mortals is a practical video course that takes you from clueless beginner into the incredible world of machine learning with Python and Tensorflow!
About the subject
With machine learning (ML), you can predict outcomes, identify trends, and make on-point recommendations that take the guesswork out of marketing, pricing, and other key business activities. And a quick look through the job boards will tell you that machine learning has become one of the hottest job skills out there. You can’t afford to miss out!
About the video

What do we mean by mere mortals? It’s simple! We don’t expect you to know any specialist mathematics or highbrow computer programming. If you passed college stats and you know the basics of Python programming, you’re set. In this course, you’ll start by learning what machine learning is, along with a quick refresher on the math you’ll need, including key ML terms like scalars, vectors, and matrices. Next, you’ll start working with Google’s amazing TensorFlow machine learning library as you take your first steps. In your first major project, you’ll build a smart spam filter. As you explore practical lessons in supervised and unsupervised machine learning, you’ll learn how to fine-tune it to catch exactly what it needs to, every time.

One of the hottest ML topics is Deep Learning with neural networks. That’s where this course goes next, but DON’T PANIC! You’ll find examples and explanations that make this extraordinarily cool topic easy to understand. You’ll build your first network, discover what makes it tick, and apply it to recognize handwriting. Along the way, you’ll start to think like a machine learning developer as you learn how to choose and optimize algorithms and explore other tools you can use beyond TensorFlow.

Expert author Nick Chase brings his experience writing hundreds of articles and tutorials to the world of video, as he carefully guides you through each aspect of machine learning you need to know. He breaks down key concepts and terms so you can discuss this topic with other people in the ML biz using their own language. With this video course and Nick by your side, you’ll be more than ready to develop your own machine learning applications and get real, actionable insight from your data!
Prerequisites
All you need is basic programming skills and basic math knowledge.
What you will learn

Common machine learning algorithms
Working with TensorFlow
Using neural networks
Making predictions
Recognizing patterns in big data
A tour of the most used machine learning APIs

About the instructor
Nick Chase is the author or co-author of close to a dozen programming books, including Active Server Pages 3.0 From Scratch, Java and XML From Scratch, and Beginning XML. He is also an IBM Developerworks Master Author, having written more than 400 articles and tutorials on various technical topics.