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🎙️ Luis G. Serrano interviewed
🎙️ Interview with Luis G. Serrano
🎙️ Thoughtful Software Podcast with Luis G. Serrano
🎙️ Profitable Python with Luis Serrano
🎙️ Luis Serrano: On Unlocking The Intuition Behind Math and Machine Learning
🎙️ Math and Machine Learning In Pedestrian Terms with Luis Serrano
🎙️ Luis Serrano: AI Content Creation, Teaching ML, Grokking ML
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It's time to dispel the myth that machine learning is difficult. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using readily-available machine learning tools!Written in an approachable manner with great use of very illustrative and applicable examples.
About the Technology
Machine learning is a collection of mathematically-based techniques and algorithms that enable computers to identify patterns and generate predictions from data. This revolutionary data analysis approach is behind everything from recommendation systems to self-driving cars, and is transforming industries from finance to art. Whatever your field, knowledge of machine learning is becoming an essential skill. Python, along with its libraries like NumPy, Pandas, and scikit-learn, has become the go-to language for machine learning.About the book
In Grokking Machine Learning, expert machine learning engineer Luis Serrano introduces the most valuable ML techniques and teaches you how to make them work for you. You’ll only need high school math to dive into popular approaches and algorithms. Practical examples illustrate each new concept to ensure you’re grokking as you go. You’ll build models for spam detection, language analysis, and image recognition as you lock in each carefully-selected skill. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. When you’re done, you’ll have an intuitive understanding of the right approach for any machine learning task or project.What's inside
- Different types of machine learning, including supervised and unsupervised learning
- Algorithms for simplifying, classifying, and splitting data
- Machine learning packages and tools
- Hands-on exercises with fully-explained Python code samples
About the reader
For readers with intermediate programming knowledge in Python or a similar language. No machine learning experience or advanced math skills necessary.About the author
Luis G. Serrano has worked as the Head of Content for Artificial Intelligence at Udacity and as a Machine Learning Engineer at Google, where he worked on the YouTube recommendations system. He holds a PhD in mathematics from the University of Michigan, a Bachelor and Masters from the University of Waterloo, and worked as a postdoctoral researcher at the University of Quebec at Montreal. He shares his machine learning expertise on a YouTube channel with over 2 million views and 35 thousand subscribers, and is a frequent speaker at artificial intelligence and data science conferences.placing your order...
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