AnonGen Posted yesterday at 09:43 AM Share Posted yesterday at 09:43 AM Oreilly – Feature Engineering Bookcamp, Video Edition 2022-9 Video Tutorial Course Feature Engineering Bookcamp Video Edition, Download course Feature Engineering Bookcamp Video Edition, Download Feature Engineering Bookcamp Video Edition, Free download Feature Engineering Bookcamp Video Edition, Free Feature Engineering Bookcamp Video Edition, Sinan Ozdemir Description Feature Engineering Bookcamp Video Edition course. This course is like an audio book with video. In each section, the speaker reads the book and simultaneously the content, diagrams, codes and text are displayed on the screen. With this course, you can make significant improvements to your machine learning pipelines without spending a lot of time tuning parameters. What you will learn Identify and implement attribute transformations: You will learn how to transform the attributes of your data to improve the performance of your models. Building machine learning pipelines with unstructured data: You will work with text and image data and create powerful pipelines. Quantifying and Reducing Bias in the Machine Learning Pipeline: Learn how to identify and reduce bias in your data. Using feature stores to build a real-time feature engineering pipeline: By using feature stores, you’ll dynamically update your pipeline in real-time. Improving an existing pipeline by manipulating input data: Learn how to improve the performance of your models by changing input data. Using advanced deep learning models to extract hidden patterns in data: Using deep learning models, you will extract valuable information from your data. This course is suitable for people who They have experience working with machine learning and Python programming language. Features of the Feature Engineering Bookcamp Video Edition course Publisher: Oreilly Lecturer: Sinan Ozdemir Training level: beginner to advanced Training duration: 6 hours and 30 minutes Course headings Chapter 1. Introduction to feature engineering Chapter 1. The feature engineering pipeline Chapter 1. How this book is organized Chapter 1. Summary Chapter 2. The basics of feature engineering Chapter 2. The four levels of data Chapter 2. The types of feature engineering Chapter 2. How to evaluate feature engineering efforts Chapter 2. Summary Chapter 3. Healthcare: Diagnosing COVID-19 Chapter 3. Exploratory data analysis Chapter 3. Feature improvement Chapter 3. Feature construction Chapter 3. Building our feature engineering pipeline Chapter 3. Feature selection Chapter 3. Answers to exercises Chapter 3. Summary Chapter 4. Bias and fairness: Modeling recidivism Chapter 4. Exploratory data analysis Chapter 4. Measuring bias and fairness Chapter 4. Building a baseline model Chapter 4. Mitigating bias Chapter 4. Building a bias-aware model Chapter 4. Answers to exercises Chapter 4. Summary Chapter 5. Natural language processing: Classifying social media sentiment Chapter 5. Text vectorization Chapter 5. Feature improvement Chapter 5. Feature extraction Chapter 5. Feature learning Chapter 5. Text vectorization recap Chapter 5. Answers to exercises Chapter 5. Summary Chapter 6. Computer vision: Object recognition Chapter 6. Feature construction: Pixels as features Chapter 6. Feature extraction: Histogram of oriented gradients Chapter 6. Feature learning with VGG-11 Chapter 6. Image vectorization recap Chapter 6. Answers to exercises Chapter 6. Summary Chapter 7. Time series analysis: Day trading with machine learning Chapter 7. Feature construction Chapter 7. Feature selection Chapter 7. Feature extraction Chapter 7. Conclusion Chapter 7. Answers to exercises Chapter 7. Summary Chapter 8. Feature stores Chapter 8. Setting up a feature store with Hopsworks Chapter 8. Creating training data in Hopsworks Chapter 8. Answer to exercise Chapter 8. Summary Chapter 9. Putting it all together Chapter 9. Key takeaways Chapter 9. Recap of feature engineering Chapter 9. Data type-specific feature engineering techniques Chapter 9. Frequently asked questions Chapter 9. Other feature engineering techniques Chapter 9. Further reading material Chapter 9. Summary Course images Sample video of the course https://dl.downloadly.ir/Files/Elearning/Sample/Feature_Engineering_Bookcamp_Video_Edition_Downloadly.ir.mp4 Installation guide After Extract, view with your favorite Player. Subtitle: None Quality: 720p download link Download file – 895 MB File(s) password: www.downloadly.ir File size 895 MB Link to comment Share on other sites More sharing options...
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