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.
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