Remove cn
article thumbnail

ODSC’s AI Weekly Recap: January 5th, 2024

ODSC - Open Data Science

Hangzhou-based Yunziang Commercial, a developer of commercial cleaning robots that are dedicated to providing users with safe cleaning services for indoor spaces raised a CN¥10,000,000 Seed Round. New York City-based Hatz AI, a provider of MSPs an AI-as-a-service business raised $2.5M in seed round.

AI 52
article thumbnail

ODSC’s AI Weekly Recap: Week of January 5th

ODSC - Open Data Science

Hangzhou-based Yunziang Commercial, a developer of commercial cleaning robots that are dedicated to providing users with safe cleaning services for indoor spaces raised a CN¥10,000,000 Seed Round. New York City-based Hatz AI, a provider of MSPs an AI-as-a-service business raised $2.5M in seed round.

AI 52
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Recommend and dynamically filter items based on user context in Amazon Personalize

AWS Machine Learning Blog

Using contextual metadata to train Amazon Personalize models will help you recommend products that are relevant to both new and existing users, not just from the profile data but also from a browsing device platform.

AWS 64
article thumbnail

Integrate HyperPod clusters with Active Directory for seamless multi-user login

AWS Machine Learning Blog

amazonaws.com" # The default base DN to use for performing LDAP user operations ldap_search_base = "dc=hyperpod,dc=abc123,dc=com" # The default bind DN to use for performing LDAP operations ldap_default_bind_dn = "CN=ReadOnly,OU=Users,OU=hyperpod,DC=hyperpod,DC=abc123,DC=com" # "password" or "obfuscated_password".

article thumbnail

Linear Algebra. SVD and PCA

Machine Learning World

For this we need to solve equation gram(A) — cn*I for each eigenvalue, where I — is identity matrix 6. Note that singular values should be sorted from biggest to smallest s1 ≥ s2 ≥ ··· ≥ sn ≥ 0 4. Construct S matrix 5. Now we need find matrix V. Now we need to find matrix U. If determinant(diag(S)) !=

article thumbnail

Working of Encoder-Decoder model

Mlearning.ai

Summary of the Encoder Model An input sequence (english sentence) is learnt word-by-word and the internal states of the LSTM network have been preserved after each timestep till the last word (last timestep (or) end of the sequence) —  hn,cn  — assuming there are only n words in the sequence.

article thumbnail

How to Create a Healthcare Chatbot Using NLP

Chatbots Life

For instance: Input : cn i book an apptmnt with my dr 2day? Normalization refers to the process in NLP by which such randomness, errors, and irrelevant words are eliminated or converted to their ‘normal’ version. Output after normalization: Can I book an appointment with my doctor today?