Found 387796 results for
«
machine learning pocket reference
»
Popular Categories
This site contains affiliate links for which we may be compensated.
Filter
Select properties that you desire.
Categories
Price
To
+
+
Sale
Merchants
Brand
Filter
Sort:
Recommended
View:
-8%
Machine Learning Pocket Reference: Working with Structured Data in Python
£18.55
£19.99
Amazon
Machine Learning Pocket Reference : Working with Structured Data in Python
£18.55
Hive Books
-8%
Machine Learning Pocket Reference: Working with Structured Data in Python
£18.55
£19.99
Amazon
Machine Learning Pocket Reference : Working with Structured Data in Python
£18.55
Hive Books
-19%
TensorFlow 2 Pocket Reference: Building and Deploying Machine Learning Models
£19.60
£23.99
Amazon
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
£59.99
Amazon
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
£41.99
Amazon
-14%
Python Machine Learning By Example: The easiest way to get into machine learning
£37.99
£43.99
Amazon
-80%
Machine Learning in Microservices: Productionizing microservices architecture for machine learning solutions
£7.41
£35.99
Amazon
Machine Learning Using TensorFlow Cookbook: Create powerful machine learning algorithms with TensorFlow
£30.99
Amazon
Mathematics of Machine Learning: Master linear algebra, calculus, and probability for machine learning
£44.99
Amazon
-54%
Machine Learning in Elixir: Learning to Learn with Nx and Axon
£21.02
£44.99
Amazon
Load More
Products
The product information displayed on this site is provided to us in regular hourly intervals. Unfortunately there can sometimes be delays and information such as prices or stock levels can become out of date. We always advise you to double check the prices on the retailers site. This site contains affiliate links to products which means we may receive a commission for purchases made through these links. Store ratings and product reviews are submitted by online shoppers; they do not reflect our opinions and we have no responsibility for their content.