The StatQuest Illustrated Guide to Machine Learning!!!: Master the concepts, one full-color picture at a time, from the basics all the way to neural networks. BAM!
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Packt Publishing
Machine Learning is awesome and powerful, but it can also appear incredibly complicated. That's where The StatQuest Illustrated Guide to Machine Learning comes in. This book takes the machine learning algorithms, no matter how complicated, and breaks them down into small, bite-sized pieces that are easy to understand. Each concept is clearly illustrated to provide you, the reader, with an intuition about how the methods work that goes beyond the equations alone. The StatQuest Illustrated Guide does not dumb down the concepts. Instead, it builds you up so that you are smarter and have a deeper understanding of Machine Learning.
The StatQuest Illustrated Guide to Machine Learning starts with the basics, showing you what machine learning is and what are its goals, and builds on those, one picture at a time, until you have mastered the concepts behind self driving cars and facial recognition.
About the Author
Josh Starmer is the person behind the popular YouTube channel, StatQuest with Josh Starmer. Since 2016, Josh has used an innovative and unique visual style to clearly explain Statistics, Data Science and Machine Learning concepts and algorithms to curious people all over the world. Rather than dumb down the material, Josh brings people up with simple examples worked through, step-by-step, using pictures to make sure every main idea is easy to understand and remember. By breaking down even the most complicated algorithms into bite sized pieces, StatQuest has helped people, all over the world, win data science competitions, pass exams, graduate from school, and get jobs and promotions. Josh is called the Patron Saint of Silicon Valley because people binge watch StatQuest videos before job interviews, the Bill Nye of Statistics by making the topic fun and exciting and the Bob Ross of Data by cutting through the hype and helping people relax with silly songs.
- Master the fundamentals to use, optimize and evaluate machine learning
- Develop an intuition for fundamental statistics concepts
- Apply Statistical distributions, R-squared, p-values to your ML models
- Gain deep insight into the building blocks like Gradient Descent
- Visualize machine learning methods, including Neural Networks
- Learn about the limitations of machine learning
The StatQuest Illustrated Guide To Machine Learning is a great starting point for anyone who wants to get into the field of Machine Learning. It also serves as the perfect reference for seasoned practitioners who need to review key concepts for an upcoming job interview.
For beginners, the illustrations and step-by-step approach ensure that the learning curve is as gentle as possible.
For experts, the depth each topic is explored and the visualizations ensure I finally understand! moments occur in each chapter.
- Fundamental Concepts in Machine Learning
- Cross Validation
- Fundamental Concepts in Statistics
- Linear Regression
- Gradient Descent
- Logistic Regression
- Naive Bayes
- Assessing Model Performance
- Preventing Overfitting with Regularization
- Decision Trees
- Support Vector Classifiers and Machines (SVMs)
- Neural Networks
- Appendices
