Search Torrents
|
Browse Torrents
|
48 Hour Uploads
|
TV shows
|
Music
|
Top 100
Audio
Video
Applications
Games
Porn
Other
All
Music
Audio books
Sound clips
FLAC
Other
Movies
Movies DVDR
Music videos
Movie clips
TV shows
Handheld
HD - Movies
HD - TV shows
3D
Other
Windows
Mac
UNIX
Handheld
IOS (iPad/iPhone)
Android
Other OS
PC
Mac
PSx
XBOX360
Wii
Handheld
IOS (iPad/iPhone)
Android
Other
Movies
Movies DVDR
Pictures
Games
HD - Movies
Movie clips
Other
E-books
Comics
Pictures
Covers
Physibles
Other
Details for:
Hodson J. Applied Machine Learning. Using ML to Solve Business Problems 2026
hodson j applied machine learning using ml solve business problems 2026
Type:
E-books
Files:
1
Size:
17.8 MB
Uploaded On:
March 1, 2026, 12:13 p.m.
Added By:
andryold1
Seeders:
1
Leechers:
1
Info Hash:
A62A2A959722D3D1C5C7BAAB6A62E1EC51364AC1
Get This Torrent
Textbook in PDF format Put machine learning theory into practice with this hands-on guide! Learn about the real-world application of machine learning models by following three use cases, each with its own dataset. Get started with tools like GitHub and Anaconda, and then follow detailed instructions to prepare your data, select your model, evaluate its results, and measure its impact over time. With sample code for download, this book has everything you need to implement machine learning models for your business! In this book, you’ll learn about: a. Data Preparation The first step is to understand your data. Learn about the different data sources, and then explore your data through visualization, descriptive statistics, and correlation analysis. Clean up your data by identifying errors, writing dummy code, and more. b. Model Selection Choose the machine learning model that suits your needs! Follow a model decision framework and master key algorithms: regression, decision trees, random forest, gradient boosting, clustering, and ensembling. c. Evaluation and Iteration Assess and improve the quality of your model! Apply a variety of validation metrics to your model and enhance interpretability to avoid black box code. Then iterate through feature engineering and adding or removing data. d. Implementation and Monitoring Your model is ready to go—now see it in action! Learn how to implement the model to make predictions, monitor its performance, and measure its impact for your business. Highlights include: 1) Real-world use cases 2) Data exploration 3) Data cleaning 4) Model decision framework 5) Regression algorithms 6) Decision trees 7) Clustering 8) Validation metrics 9) Model iteration 10) Interpretability 11) Implementation 12) Monitoring
Get This Torrent
Hodson J. Applied Machine Learning. Using ML to Solve Business Problems 2026.pdf
17.8 MB
Similar Posts:
Category
Name
Uploaded
E-books
Hodson J. Applied Machine Learning. Using ML to Solve Business Problems 2026
March 1, 2026, 1:45 p.m.