* L'apprentissage automatique (ou **Machine Learning**) : cela nécessite de nombreuses multiplications de matrices et vecteurs. Imaginez une énorme feuille de calcul remplie de nombres que vous multiplierez entre eux tous au même moment.

* **Machine Learning**: normalmente requiere muchas multiplicaciones de "matrices" y "vectores". Imagina en una enorme hoja de cálculo con números y tener que multiplicarlos todos al mismo tiempo.

### Major Features and Improvements

*   Added F-Score metrics `tf.keras.metrics.FBetaScore`, `tf.keras.metrics.F1Score`, and `tf.keras.metrics.R2Score`.
*   Added activation function `tf.keras.activations.mish`.

1. Start a distributed MinIO instance (4 nodes setup)
2. Start Prometheus server and AlertManager
3. Bring down couple of MinIO instances to bring down the Erasure Set tolerance to -1 and verify the same with `mc admin prometheus metrics ALIAS | grep minio_cluster_health_erasure_set_status`
4. Wait for 5 mins (as alert is configured to be firing after 5 mins), and verify that you see an entry in webhook for the alert as well as in Prometheus console as shown below

* Flex drivers by default do not produce metrics. Flex plugins can enable metrics collection by setting  the capability 'supportsMetrics' to true. Make sure the file system can support fs stat to produce metrics in this case. ([#67508](https://github.com/kubernetes/kubernetes/pull/67508), [@brahmaroutu](https://github.com/brahmaroutu))

pkg runtime/metrics, const KindBad = 0
pkg runtime/metrics, const KindBad ValueKind
pkg runtime/metrics, const KindFloat64 = 2
pkg runtime/metrics, const KindFloat64 ValueKind
pkg runtime/metrics, const KindFloat64Histogram = 3
pkg runtime/metrics, const KindFloat64Histogram ValueKind
pkg runtime/metrics, const KindUint64 = 1
pkg runtime/metrics, const KindUint64 ValueKind

### Pod resource metrics

On-demand metrics calculation is now available through `/metrics/resources`. [When enabled](
https://docs.k8s.io/concepts/cluster-administration/system-metrics#kube-scheduler-metrics), the endpoint will report the requested resources and the desired limits of all running pods.

### Introducing `RootCAConfigMap`

    which is an exception-throwing alternative to `MediaType.parse(String)`.
 *  New: The `EventListener` API previewed in OkHttp 3.9 has graduated to a stable API. Use this
    interface to track metrics and monitor HTTP requests' size and duration.
 *  New: `okhttp-dnsoverhttps` is an experimental API for doing DNS queries over HTTPS. Using HTTPS

- In the kubelet resource metrics endpoint at /metrics/resource, change the names of the following metrics:
  - node_cpu_usage_seconds --> node_cpu_usage_seconds_total

- Metrics server nanny has now poll period set to 30s (previously 5 minutes) to allow faster scaling of metrics server. ([#101869](https://github.com/kubernetes/kubernetes/pull/101869), [@olagacek](https://github.com/olagacek)) [SIG Cloud Provider and Instrumentation]