119 lines
6.9 KiB
Clojure
119 lines
6.9 KiB
Clojure
{:highlights [{:id #uuid "6838065d-0c3c-4d8c-be70-ebc13ffe2b09",
|
||
:page 1,
|
||
:position {:bounding {:x1 120,
|
||
:y1 324.8645935058594,
|
||
:x2 900.1395263671875,
|
||
:y2 365.26043701171875,
|
||
:width 1019.9999999999999,
|
||
:height 1319.9999999999998},
|
||
:rects ({:x1 353.375,
|
||
:y1 324.8645935058594,
|
||
:x2 363.4895935058594,
|
||
:y2 344.8645935058594,
|
||
:width 1019.9999999999999,
|
||
:height 1319.9999999999998}
|
||
{:x1 377.375,
|
||
:y1 324.8645935058594,
|
||
:x2 441.35418701171875,
|
||
:y2 344.8645935058594,
|
||
:width 1019.9999999999999,
|
||
:height 1319.9999999999998}
|
||
{:x1 455.1771240234375,
|
||
:y1 324.8645935058594,
|
||
:x2 550.4271240234375,
|
||
:y2 344.8645935058594,
|
||
:width 1019.9999999999999,
|
||
:height 1319.9999999999998}
|
||
{:x1 564.375,
|
||
:y1 324.8645935058594,
|
||
:x2 637.5625,
|
||
:y2 344.8645935058594,
|
||
:width 1019.9999999999999,
|
||
:height 1319.9999999999998}
|
||
{:x1 651.375,
|
||
:y1 324.8645935058594,
|
||
:x2 727.0625,
|
||
:y2 344.8645935058594,
|
||
:width 1019.9999999999999,
|
||
:height 1319.9999999999998}
|
||
{:x1 740.7916870117188,
|
||
:y1 324.8645935058594,
|
||
:x2 755.84375,
|
||
:y2 344.8645935058594,
|
||
:width 1019.9999999999999,
|
||
:height 1319.9999999999998}
|
||
{:x1 769.78125,
|
||
:y1 324.8645935058594,
|
||
:x2 858.1458740234375,
|
||
:y2 344.8645935058594,
|
||
:width 1019.9999999999999,
|
||
:height 1319.9999999999998}
|
||
{:x1 871.9583740234375,
|
||
:y1 324.8645935058594,
|
||
:x2 900.1395263671875,
|
||
:y2 344.8645935058594,
|
||
:width 1019.9999999999999,
|
||
:height 1319.9999999999998}
|
||
{:x1 120,
|
||
:y1 345.26043701171875,
|
||
:x2 576.421142578125,
|
||
:y2 365.26043701171875,
|
||
:width 1019.9999999999999,
|
||
:height 1319.9999999999998}),
|
||
:page 1},
|
||
:content {:text "I moduli prevedono sessioni pratiche e laboratori per l’implementazione di modelli in Python e TensorFlow"},
|
||
:properties {:color "green"}}
|
||
{:id #uuid "68380675-da02-408b-aebd-f45f922dbe30",
|
||
:page 1,
|
||
:position {:bounding {:x1 120,
|
||
:y1 411.26043701171875,
|
||
:x2 900.1566467285156,
|
||
:y2 472.26043701171875,
|
||
:width 1019.9999999999999,
|
||
:height 1319.9999999999998},
|
||
:rects ({:x1 227.73770141601562,
|
||
:y1 411.26043701171875,
|
||
:x2 900.1566467285156,
|
||
:y2 431.26043701171875,
|
||
:width 1019.9999999999999,
|
||
:height 1319.9999999999998}
|
||
{:x1 120,
|
||
:y1 431.8645935058594,
|
||
:x2 900.07470703125,
|
||
:y2 451.8645935058594,
|
||
:width 1019.9999999999999,
|
||
:height 1319.9999999999998}
|
||
{:x1 120,
|
||
:y1 452.26043701171875,
|
||
:x2 580.447265625,
|
||
:y2 472.26043701171875,
|
||
:width 1019.9999999999999,
|
||
:height 1319.9999999999998}),
|
||
:page 1},
|
||
:content {:text " il corso è rivolto a chiunque abbia una conoscenza di base degli strumenti informatici e desideri applicare tecniche di Machine Learning e Deep Learning per analizzare dati e prendere decisioni basate su modelli predittivi."},
|
||
:properties {:color "green"}}
|
||
{:id #uuid "683806a6-305c-4843-af19-07ae0b3cdb69",
|
||
:page 1,
|
||
:position {:bounding {:x1 120,
|
||
:y1 849.8645935058594,
|
||
:x2 900.1728210449219,
|
||
:y2 890.2604217529297,
|
||
:width 1019.9999999999999,
|
||
:height 1319.9999999999998},
|
||
:rects ({:x1 191.12716674804688,
|
||
:y1 849.8645935058594,
|
||
:x2 900.1728210449219,
|
||
:y2 869.8645935058594,
|
||
:width 1019.9999999999999,
|
||
:height 1319.9999999999998}
|
||
{:x1 120,
|
||
:y1 870.2604217529297,
|
||
:x2 297.596923828125,
|
||
:y2 890.2604217529297,
|
||
:width 1019.9999999999999,
|
||
:height 1319.9999999999998}),
|
||
:page 1},
|
||
:content {:text "Concetti fondamentali di algebra lineare e statistica (utili per comprendere i modelli di Machine Learning)"},
|
||
:properties {:color "green"}}],
|
||
:extra {:page 1}}
|