Looking for the best AI & Machine Learning?
Discover now our comparison of the best AI & Machine Learning. It is never easy to choose from the wide range of offers. On the market, you will find an incalculable number of models, all at different prices. And as you will discover, the best AI & Machine Learning are not always the ones at the highest prices! Many criteria are used, and they make the richness and relevance of this comparison.
To help you make the best choice among the hundreds of products available, we have decided to offer you a comparison of the AI & Machine Learning in order to find the best quality/price ratio. In this ranking, you will find products listed according to their price, but also their characteristics and the opinions of other customers. Also discover our comparisons by categories. You won’t have to choose your products at random anymore.
- Moroney, Laurence (Author)
- English (Publication Language)
- 390 Pages - 11/10/2020 (Publication Date) - O'Reilly Media (Publisher)
- Prosise, Jeff (Author)
- English (Publication Language)
- 425 Pages - 12/20/2022 (Publication Date) - O'Reilly Media (Publisher)
- Hardcover Book
- Ananthaswamy, Anil (Author)
- English (Publication Language)
- 480 Pages - 07/16/2024 (Publication Date) - Dutton (Publisher)
- Raschka, Sebastian (Author)
- English (Publication Language)
- 264 Pages - 04/16/2024 (Publication Date) - No Starch Press (Publisher)
- Use scikit-learn to track an example ML project end to end
- Explore several models, including support vector machines, decision trees, random forests, and ensemble methods
- Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection
- Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers
- Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning
- Géron, Aurélien (Author)
- English (Publication Language)
- 861 Pages - 11/08/2022 (Publication Date) - O'Reilly Media (Publisher)
- Mueller, John Paul (Author)
- English (Publication Language)
- 464 Pages - 02/09/2021 (Publication Date) - For Dummies (Publisher)
- Huyen, Chip (Author)
- English (Publication Language)
- 386 Pages - 06/21/2022 (Publication Date) - O'Reilly Media (Publisher)
- Bratsis, Irene (Author)
- English (Publication Language)
- 250 Pages - 02/28/2023 (Publication Date) - Packt Publishing (Publisher)
- Burkov, Andriy (Author)
- English (Publication Language)
- 160 Pages - 01/13/2019 (Publication Date) - Andriy Burkov (Publisher)
- Bennett, Alex (Author)
- English (Publication Language)
- 136 Pages - 07/01/2024 (Publication Date) - Independently published (Publisher)
What is the purpose of a comparison site?
When you search for a product on the Internet, you can compare all the offers that are available from the sellers. However, it can take time when it is necessary to open all the pages, compare the opinions of the Internet users, the characteristics of the products, the prices of the different models… Offering you reliable comparisons allows us to offer you a certain time saving and a great ease of use. Shopping on the Internet is no longer a chore, but a real pleasure!
We do everything we can to offer you relevant comparisons, based on various criteria and constantly updated. The product you are looking for is probably among these pages. A few clicks will allow you to make a fair and relevant choice. Don’t be disappointed with your purchases made on the Internet and compare the best AI & Machine Learning now!
Last update on 2025-01-23 / Affiliate links / Images from Amazon Product Advertising API