GET https://rct.dev.bbntimes.com/technology/how-microsoft-uses-machine-learning

Response
200 OK
IP
3.23.92.193
Profiled on
Token
07ef02

ArticleController :: show

Request

GET Parameters

None

POST Parameters

None

Uploaded Files

None

Request Attributes

Key Value
_controller 
"App\Controller\ArticleController::show"
_firewall_context 
"security.firewall.map.context.main"
_links 
Symfony\Component\WebLink\GenericLinkProvider {#3600
  -links: [
    3721 => Symfony\Component\WebLink\Link {#3721
      -href: "/build/runtime.js"
      -rel: [
        "preload" => "preload"
      ]
      -attributes: [
        "as" => "script"
      ]
    }
    3719 => Symfony\Component\WebLink\Link {#3719
      -href: "/build/644.js"
      -rel: [
        "preload" => "preload"
      ]
      -attributes: [
        "as" => "script"
      ]
    }
    3718 => Symfony\Component\WebLink\Link {#3718
      -href: "/build/502.js"
      -rel: [
        "preload" => "preload"
      ]
      -attributes: [
        "as" => "script"
      ]
    }
    3717 => Symfony\Component\WebLink\Link {#3717
      -href: "/build/app.js"
      -rel: [
        "preload" => "preload"
      ]
      -attributes: [
        "as" => "script"
      ]
    }
    3716 => Symfony\Component\WebLink\Link {#3716
      -href: "/build/view-more.js"
      -rel: [
        "preload" => "preload"
      ]
      -attributes: [
        "as" => "script"
      ]
    }
    3715 => Symfony\Component\WebLink\Link {#3715
      -href: "/build/term-condition.js"
      -rel: [
        "preload" => "preload"
      ]
      -attributes: [
        "as" => "script"
      ]
    }
    3714 => Symfony\Component\WebLink\Link {#3714
      -href: "/build/contact.js"
      -rel: [
        "preload" => "preload"
      ]
      -attributes: [
        "as" => "script"
      ]
    }
    3713 => Symfony\Component\WebLink\Link {#3713
      -href: "/build/scroll-infinite-article.js"
      -rel: [
        "preload" => "preload"
      ]
      -attributes: [
        "as" => "script"
      ]
    }
    3712 => Symfony\Component\WebLink\Link {#3712
      -href: "/build/app.css"
      -rel: [
        "preload" => "preload"
      ]
      -attributes: [
        "as" => "style"
      ]
    }
    3711 => Symfony\Component\WebLink\Link {#3711
      -href: "/build/cookie-style.css"
      -rel: [
        "preload" => "preload"
      ]
      -attributes: [
        "as" => "style"
      ]
    }
    3710 => Symfony\Component\WebLink\Link {#3710
      -href: "/build/term-condition-css.css"
      -rel: [
        "preload" => "preload"
      ]
      -attributes: [
        "as" => "style"
      ]
    }
    3709 => Symfony\Component\WebLink\Link {#3709
      -href: "/build/contact-css.css"
      -rel: [
        "preload" => "preload"
      ]
      -attributes: [
        "as" => "style"
      ]
    }
    3708 => Symfony\Component\WebLink\Link {#3708
      -href: "/build/comment-css.css"
      -rel: [
        "preload" => "preload"
      ]
      -attributes: [
        "as" => "style"
      ]
    }
  ]
}
_route 
"article_show"
_route_params 
[
  "category" => "technology"
  "slug" => "how-microsoft-uses-machine-learning"
]
_security_firewall_run 
"_security_main"
_stopwatch_token 
"1cf29e"
category 
"technology"
slug 
"how-microsoft-uses-machine-learning"

Request Headers

Header Value
accept 
"*/*"
accept-encoding 
"gzip, br, zstd, deflate"
connection 
"close"
cookie 
"PHPSESSID=dsdobnksgq1f75f58ms734udap"
host 
"rct.dev.bbntimes.com"
user-agent 
"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)"
x-php-ob-level 
"1"

Request Content

Request content not available (it was retrieved as a resource).

Response

Response Headers

Header Value
cache-control 
"no-cache, private"
content-type 
"text/html; charset=UTF-8"
date 
"Sat, 22 Feb 2025 08:43:56 GMT"
link 
"</build/runtime.js>; rel="preload"; as="script",</build/644.js>; rel="preload"; as="script",</build/502.js>; rel="preload"; as="script",</build/app.js>; rel="preload"; as="script",</build/view-more.js>; rel="preload"; as="script",</build/term-condition.js>; rel="preload"; as="script",</build/contact.js>; rel="preload"; as="script",</build/scroll-infinite-article.js>; rel="preload"; as="script",</build/app.css>; rel="preload"; as="style",</build/cookie-style.css>; rel="preload"; as="style",</build/term-condition-css.css>; rel="preload"; as="style",</build/contact-css.css>; rel="preload"; as="style",</build/comment-css.css>; rel="preload"; as="style""
x-debug-token 
"07ef02"

Cookies

Request Cookies

Key Value
PHPSESSID 
"dsdobnksgq1f75f58ms734udap"

Response Cookies

No response cookies

Session 6

Session Metadata

Key Value
Created 
"Sat, 22 Feb 25 08:43:46 +0000"
Last used 
"Sat, 22 Feb 25 08:43:54 +0000"
Lifetime 
0

Session Attributes

Attribute Value
_csrf/https-comment 
"jrH729RUaEL7Qo9S2eiWvrNTl2Dqbb3sBW85XF9ZNo4"
_csrf/https-cookie_accept 
"XPGp-zLPkJhMt9jBmyqvfAnSrJ4NnyelnDkEUzKKpow"

Session Usage

6 Usages
Stateless check enabled
Usage
Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:76
Show trace 
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    "function" => "require_once"
  ]
]
Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:79
Show trace 
[
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/security-csrf/TokenStorage/SessionTokenStorage.php"
    "line" => 79
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    "function" => "require_once"
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]
Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:52
Show trace 
[
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/security-csrf/TokenStorage/SessionTokenStorage.php"
    "line" => 52
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:56
Show trace 
[
  [
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    "function" => "handleRaw"
    "class" => "Symfony\Component\HttpKernel\HttpKernel"
    "type" => "->"
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    "line" => 197
    "function" => "handle"
    "class" => "Symfony\Component\HttpKernel\HttpKernel"
    "type" => "->"
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/runtime/Runner/Symfony/HttpKernelRunner.php"
    "line" => 35
    "function" => "handle"
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    "type" => "->"
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/autoload_runtime.php"
    "line" => 29
    "function" => "run"
    "class" => "Symfony\Component\Runtime\Runner\Symfony\HttpKernelRunner"
    "type" => "->"
  ]
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    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/public/index.php"
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    "args" => [
      "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/autoload_runtime.php"
    ]
    "function" => "require_once"
  ]
]
Symfony\Component\Security\Core\Authentication\Token\Storage\UsageTrackingTokenStorage:41
Show trace 
[
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/security-core/Authentication/Token/Storage/UsageTrackingTokenStorage.php"
    "line" => 41
    "function" => "getMetadataBag"
    "class" => "Symfony\Component\HttpFoundation\Session\Session"
    "type" => "->"
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/twig-bridge/AppVariable.php"
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    "function" => "getToken"
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    "class" => "Symfony\Bundle\FrameworkBundle\Controller\AbstractController"
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  [
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    "function" => "handle"
    "class" => "Symfony\Component\HttpKernel\HttpKernel"
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  [
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    "line" => 379
    "function" => "display"
    "class" => "Twig\Template"
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  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/twig/twig/src/TemplateWrapper.php"
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    "function" => "render"
    "class" => "Twig\Template"
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  [
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    "function" => "render"
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    "class" => "Twig\Environment"
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  [
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    "line" => 453
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    "function" => "doRender"
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  [
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    "function" => "show"
    "class" => "App\Controller\ArticleController"
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    "function" => "handleRaw"
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    "type" => "->"
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  [
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    "function" => "handle"
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    "function" => "handle"
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    "function" => "run"
    "class" => "Symfony\Component\Runtime\Runner\Symfony\HttpKernelRunner"
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  [
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    "line" => 5
    "args" => [
      "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/autoload_runtime.php"
    ]
    "function" => "require_once"
  ]
]
Symfony\Component\Security\Http\Firewall\ContextListener:171
Show trace 
[
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/security-http/Firewall/ContextListener.php"
    "line" => 171
    "function" => "remove"
    "class" => "Symfony\Component\HttpFoundation\Session\Session"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/event-dispatcher/Debug/WrappedListener.php"
    "line" => 116
    "function" => "onKernelResponse"
    "class" => "Symfony\Component\Security\Http\Firewall\ContextListener"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/event-dispatcher/EventDispatcher.php"
    "line" => 220
    "function" => "__invoke"
    "class" => "Symfony\Component\EventDispatcher\Debug\WrappedListener"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/event-dispatcher/EventDispatcher.php"
    "line" => 56
    "function" => "callListeners"
    "class" => "Symfony\Component\EventDispatcher\EventDispatcher"
    "type" => "->"
  ]
  [
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    "function" => "dispatch"
    "class" => "Symfony\Component\EventDispatcher\EventDispatcher"
    "type" => "->"
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  [
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    "function" => "dispatch"
    "class" => "Symfony\Component\EventDispatcher\Debug\TraceableEventDispatcher"
    "type" => "->"
  ]
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/http-kernel/HttpKernel.php"
    "line" => 202
    "function" => "filterResponse"
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    "type" => "->"
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    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/http-kernel/HttpKernel.php"
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    "function" => "handleRaw"
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    "function" => "run"
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    "function" => "require_once"
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]

Flashes

Flashes

No flash messages were created.

Server Parameters

Server Parameters

Defined in .env

Key Value
APP_ENV 
"dev"
APP_SECRET 
"0a988e63f011514eaabfc650b599af4d"
CORS_ALLOW_ORIGIN 
"*"
DATABASE_URL 
"mysql://bbndb_rctuser:33F5W25z40or0f7@localhost:3306/rct_bbntimes"
GOOGLE_RECAPTCHA_SECRET_KEY 
"6LdV5fgpAAAAANxzTG8ZMfIjil1wu-1vrQvnUt-x"
GOOGLE_RECAPTCHA_SITE_KEY 
"6LdV5fgpAAAAAENKcn73MJAhQrbtQeqgyC4wDLMP"
MAILER_DSN 
"smtp://no-reply%40rct.dev.bbntimes.com:Bl6%26gLD48%26Of919@rct.dev.bbntimes.com:465"
MARIADB_PASSWORD 
"i!87pK&!85ezc8"

Defined as regular env variables

Key Value
APP_DEBUG 
"1"
BASE 
"/public"
CONTEXT_DOCUMENT_ROOT 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com"
CONTEXT_PREFIX 
""
DOCUMENT_ROOT 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com"
FCGI_ROLE 
"RESPONDER"
GATEWAY_INTERFACE 
"CGI/1.1"
HTTPS 
"on"
HTTP_ACCEPT 
"*/*"
HTTP_ACCEPT_ENCODING 
"gzip, br, zstd, deflate"
HTTP_CONNECTION 
"close"
HTTP_COOKIE 
"PHPSESSID=dsdobnksgq1f75f58ms734udap"
HTTP_HOST 
"rct.dev.bbntimes.com"
HTTP_USER_AGENT 
"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)"
PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
PATH 
"/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin"
PHP_SELF 
"/public/index.php"
PP_CUSTOM_PHP_CGI_INDEX 
"plesk-php81-fastcgi"
PP_CUSTOM_PHP_INI 
"/var/www/vhosts/system/rct.dev.bbntimes.com/etc/php.ini"
QUERY_STRING 
""
REDIRECT_BASE 
"/public"
REDIRECT_HTTPS 
"on"
REDIRECT_PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_HTTPS 
"on"
REDIRECT_REDIRECT_PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_SCRIPT_URI 
"https://rct.dev.bbntimes.com/technology/how-microsoft-uses-machine-learning"
REDIRECT_REDIRECT_SCRIPT_URL 
"/technology/how-microsoft-uses-machine-learning"
REDIRECT_REDIRECT_SSL_TLS_SNI 
"rct.dev.bbntimes.com"
REDIRECT_REDIRECT_STATUS 
"200"
REDIRECT_REDIRECT_UNIQUE_ID 
"Z7mOTJDyWLT8YV1VjBo8eAAAAII"
REDIRECT_SCRIPT_URI 
"https://rct.dev.bbntimes.com/technology/how-microsoft-uses-machine-learning"
REDIRECT_SCRIPT_URL 
"/technology/how-microsoft-uses-machine-learning"
REDIRECT_SSL_TLS_SNI 
"rct.dev.bbntimes.com"
REDIRECT_STATUS 
"200"
REDIRECT_UNIQUE_ID 
"Z7mOTJDyWLT8YV1VjBo8eAAAAII"
REDIRECT_URL 
"/public/technology/how-microsoft-uses-machine-learning"
REMOTE_ADDR 
"3.23.92.193"
REMOTE_PORT 
"45857"
REQUEST_METHOD 
"GET"
REQUEST_SCHEME 
"https"
REQUEST_TIME 
1740213836
REQUEST_TIME_FLOAT 
1740213836.3427
REQUEST_URI 
"/technology/how-microsoft-uses-machine-learning"
SCRIPT_FILENAME 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/public/index.php"
SCRIPT_NAME 
"/public/index.php"
SCRIPT_URI 
"https://rct.dev.bbntimes.com/technology/how-microsoft-uses-machine-learning"
SCRIPT_URL 
"/technology/how-microsoft-uses-machine-learning"
SERVER_ADDR 
"5.196.1.209"
SERVER_ADMIN 
"[no address given]"
SERVER_NAME 
"rct.dev.bbntimes.com"
SERVER_PORT 
"443"
SERVER_PROTOCOL 
"HTTP/1.1"
SERVER_SIGNATURE 
"<address>Apache Server at rct.dev.bbntimes.com Port 443</address>\n"
SERVER_SOFTWARE 
"Apache"
SSL_TLS_SNI 
"rct.dev.bbntimes.com"
SYMFONY_DOTENV_VARS 
"APP_ENV,APP_SECRET,DATABASE_URL,MARIADB_PASSWORD,CORS_ALLOW_ORIGIN,MAILER_DSN,GOOGLE_RECAPTCHA_SECRET_KEY,GOOGLE_RECAPTCHA_SITE_KEY"
UNIQUE_ID 
"Z7mOTJDyWLT8YV1VjBo8eAAAAII"

Sub Requests 6

CookieController :: renderAnalysis (token = 49c935)

Key Value
_controller 
"App\Controller\CookieController::renderAnalysis"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"194f95"

AppController :: renderHeader (token = f1b4ce)

Key Value
_controller 
"App\Controller\AppController::renderHeader"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"10f609"
slug 
"home"

ArticleController :: trendingArticle (token = e57fb9)

Key Value
_controller 
"App\Controller\ArticleController::trendingArticle"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"2e03e2"
category 
"Technology"

ArticleController :: relatedArticles (token = 84308f)

Key Value
_controller 
"App\Controller\ArticleController::relatedArticles"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"1bcf13"
current_article 
App\Entity\Article {#1094
  -id: 9961
  -title: "How Microsoft Uses Machine Learning "
  -slug: "how-microsoft-uses-machine-learning"
  -introtext: "<p>Microsoft uses <a href="science/is-machine-learning-overhyped" target="_blank" rel="noopener">machine learning </a>to recognize patterns, improve operations and develop better products.&nbsp;</p>\r\n"
  -content: """
    \r\n
    <p>By leveraging machine learning, Microsoft is&nbsp;helping users find new ways to <a href="https://www.redhat.com/en/topics/integration/what-is-integration" target="_blank" rel="noopener">integrate computing</a> into their daily lives. Microsoft regularly is ranked one of the best places to work. Programmers are well paid, respected, and creativity is encouraged.</p>\r\n
    <p>Machine learning is a hot topic in research and industry, with new methodologies developed all the time. The speed and complexity of the field makes keeping up with new techniques difficult even for experts — and potentially overwhelming for beginners.</p>\r\n
    <h2>Why Is Machine Learning Important and What Can You Do with It?</h2>\r\n
    <p><img src="/images/Machine_Learning_Explained.jpeg" alt="Machine_Learning_Explained.jpeg" width="901" height="408" /></p>\r\n
    <p><em>Source: LogPoint</em><br /><br /></p>\r\n
    <p>Machine learning is important because it can&nbsp;learn, identify patterns, and make decisions with minimal human intervention. Ideally, machines increase accuracy and efficiency and reduce the possibility of human error.</p>\r\n
    <p>Many companies can dramatically improve their products and services by using machine learning—an application of artificial intelligence that involves generating predictions from data inputs. Amazon, Google, and other tech giants are already experts at taking advantage of this technology.&nbsp;</p>\r\n
    <p>Machine learning can do the following things:</p>\r\n
    <h3>1. Predict Values</h3>\r\n
    <p>Helpful in identifying cause and effect between variables, regression algorithms create a model from values, which are then used to make a prediction. Regression studies help forecast the future, which can help anticipate product demand, predict sales figures, or estimate campaign results.</p>\r\n
    <h3>2. Identify Unusual Occurrences</h3>\r\n
    <p>Often used to spot potential risk, anomaly detection algorithms pinpoint data outside anticipated norms. Equipment malfunction, structural defect, text errors, and instances of fraud are examples of how machine learning can be used to address concern.</p>\r\n
    <h3>3. Find Structure</h3>\r\n
    <p>Clustering algorithms are often the first step in machine learning, revealing the underlying structure within the dataset. Categorizing common items, clustering is commonly used in market segmentation, offering insight that can help select price and anticipate customer preferences.</p>\r\n
    <h3>4. Predict Categories</h3>\r\n
    <p>Classification algorithms help determine the correct category for information. Bearing similarity to clustering, classification is different in that it is applied in supervised learning, where predefined labels are assigned.</p>\r\n
    <h2>What Are The Machine Learning Techniques Used By Microsoft?</h2>\r\n
    <p>The machine learning strategies used by Microsoft are:</p>\r\n
    <p><img src="/images/Types_of_Machine_Learning.jpeg" alt="Types_of_Machine_Learning.jpeg" /></p>\r\n
    <p><em>Source: Towards Data Science<br /><br /></em></p>\r\n
    <p><b>(1) Supervised Learning: </b>It addresses datasets with labels or structure, data acts as a teacher and “trains” the machine, increasing in its ability to make a prediction or decision.&nbsp;The training set consists of data that have been labeled and annotated by a human observer.</p>\r\n
    <p><b> (2) Unsupervised Learning:</b> It's all about datasets without any labels or structure, finding patterns and relationships by grouping data into clusters.</p>\r\n
    <p><b>(3) Reinforcement Learning:</b> It replaces&nbsp;the human operator, an agent—a computer program acting on behalf of someone or something—helps determine outcome based upon a feedback loop.</p>\r\n
    <h2>How Microsoft Leverages Machine Learning to Solve Complex Problems?</h2>\r\n
    <p>When it comes to a complex problem, don’t try to be a hero and dive right into solving it. Process and understand the problem, review your dataset, set a realistic goal and then go about actually solving the problem. Chances are that you will end up saving a lot of resources (most importantly time) if you plan your execution properly.</p>\r\n
    <p><img src="/images/How_Machine_Learning_Works.png" alt="How_Machine_Learning_Works.png" width="743" height="405" /></p>\r\n
    <div class="row row-size5">\r\n
    <div class="column medium-5">\r\n
    <h3>Step 1: Collect and Prepare the Data</h3>\r\n
    <p>Once data sources are identified, available data is compiled. The type of data that you have can help inform which machine learning algorithms you can use. As you review your data, anomalies are identified, structure is developed, and data integrity issues are resolved.</p>\r\n
    </div>\r\n
    <div class="column medium-5 medium-offset-1 end">\r\n
    <h3>Step 2: Train the Model</h3>\r\n
    <p>The prepared data is split into two groups: the training set and the test set. The training set is a large portion of your data that’s used to tune your machine learning models to the highest accuracy.</p>\r\n
    </div>\r\n
    </div>\r\n
    <div class="row row-size3">\r\n
    <div class="column medium-5">\r\n
    <h3>Step 3: Validate the Model</h3>\r\n
    <p>When you’re ready to select your final data model, the test set is used to evaluate performance and accuracy.</p>\r\n
    </div>\r\n
    <div class="column medium-5 medium-offset-1 end">\r\n
    <h3>Step 4: Interpret the Results</h3>\r\n
    <p>Review the outcome to find insights, draw conclusions, and predict outcomes.</p>\r\n
    <h2>Conclusion&nbsp;</h2>\r\n
    <p><span class="lead-in">The past decade has brought&nbsp;</span><span class="lead-in-large">tremendous advances&nbsp;</span>in an exciting dimension of <a href="companies/understanding-artificial-intelligence-machine-learning-and-deep-learning" target="_blank" rel="noopener">artificial intelligence</a>—machine learning. This technique for taking data inputs and turning them into predictions has enabled tech giants such as Amazon, Apple, Facebook, and Google to dramatically improve their products. It has also spurred start-ups to launch new products and platforms, sometimes even in competition with Big Tech.</p>\r\n
    <p><img src="/images/Microsoft_Global_Brand_Value_2021.png" alt="Microsoft_Global_Brand_Value_2021.png" width="801" height="681" /></p>\r\n
    </div>\r\n
    </div>\r\n
    <p><em>Source: Statista</em><br /><br /></p>\r\n
    <p>Microsoft takes advantage of machine learning to read, classify, and then present insights from scientific research to <a href="companies/how-to-use-machine-learning-to-solve-business-problems" target="_blank" rel="noopener">solve business problems</a>.&nbsp;The adaptability of machine learning makes it a great choice in scenarios where the data is always changing, the nature of the request or task are always shifting, or coding a solution would be effectively impossible.</p>
    """
  -user: Proxies\__CG__\App\Entity\User {#1092 …}
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    date: 2021-11-03 00:35:02.0 UTC (+00:00)
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  -status: "published"
  -imageCard: Proxies\__CG__\App\Entity\File {#1184 …}
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  -clicks: 6209
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  -metakey: "How Microsoft Uses Machine Learning"
  -metadesc: "Microsoft uses machine learning to recognize patterns, improve operations and develop better products.\u{A0}"
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AppController :: renderFooter (token = 1f061f)

Key Value
_controller 
"App\Controller\AppController::renderFooter"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"183892"

CookieController :: renderCookie (token = 6d99c8)

Key Value
_controller 
"App\Controller\CookieController::renderCookie"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"6109c4"