* 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**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.

		"Please add TLS certificate or use HTTP endpoints only",
		"Refer to https://min.io/docs/minio/linux/operations/network-encryption.html for information about how to load a TLS certificate in your server",
	)

	ErrCertsAndHTTPEndpoints = newErrFn(
		"HTTP specified in endpoints, but the server in the local machine is configured with a TLS certificate",

pkg debug/pe, const IMAGE_DLLCHARACTERISTICS_WDM_DRIVER = 8192
pkg debug/pe, const IMAGE_DLLCHARACTERISTICS_WDM_DRIVER ideal-int
pkg debug/pe, const IMAGE_FILE_32BIT_MACHINE = 256
pkg debug/pe, const IMAGE_FILE_32BIT_MACHINE ideal-int
pkg debug/pe, const IMAGE_FILE_AGGRESIVE_WS_TRIM = 16
pkg debug/pe, const IMAGE_FILE_AGGRESIVE_WS_TRIM ideal-int
pkg debug/pe, const IMAGE_FILE_BYTES_REVERSED_HI = 32768

message NodeSystemInfo {
  // MachineID reported by the node. For unique machine identification
  // in the cluster this field is preferred. Learn more from man(5)
  // machine-id: http://man7.org/linux/man-pages/man5/machine-id.5.html
  optional string machineID = 1;

  // SystemUUID reported by the node. For unique machine identification
  // MachineID is preferred. This field is specific to Red Hat hosts

Chroot allows user based namespace isolation on many standard Linux deployments.

## 1. Prerequisites

- Familiarity with [chroot](http://man7.org/linux/man-pages/man2/chroot.2.html)
- Chroot installed on your machine.

## 2. Install MinIO in Chroot

```sh
mkdir -p /mnt/export/${USER}/bin
wget https://dl.min.io/server/minio/release/linux-amd64/minio -O /mnt/export/${USER}/bin/minio
chmod +x /mnt/export/${USER}/bin/minio
```

Linux containers run using the same Linux kernel of the host (machine, virtual machine, cloud server, etc). This just means that they are very lightweight (compared to full virtual machines emulating an entire operating system).

This way, containers consume **little resources**, an amount comparable to running the processes directly (a virtual machine would consume much more).

import java.util.Map;
import java.util.Properties;
import java.util.TimeZone;

/**
 * MavenBuildTimestamp
 */
public class MavenBuildTimestamp {
    // ISO 8601-compliant timestamp for machine readability
    public static final String DEFAULT_BUILD_TIMESTAMP_FORMAT = "yyyy-MM-dd'T'HH:mm:ss'Z'";

    public static final String BUILD_TIMESTAMP_FORMAT_PROPERTY = "maven.build.timestamp.format";

      - label: "Security"
      - label: "Test and Release"
      - label: "User Experience"
      - label: "Developer Infrastructure"
      - label: "Upgrade"
      - label: "Multi Cluster"
      - label: "Virtual Machine"

        "//tensorflow/core:framework",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/grappler:grappler_item",
        "//tensorflow/core/grappler/clusters:single_machine",
        "//tensorflow/core/grappler/costs:graph_properties",
        "//tensorflow/core/grappler/inputs:trivial_test_graph_input_yielder",
        "//tensorflow/core/protobuf:error_codes_proto_impl_cc",
    ],