Row 58308

Row ID: 58308 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 58308 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

You could probably have guessed this, but the answer is 'it depends' to pretty much all of the above.

Torch/TF, depends on the company. Torch is becoming more popular than TF, but lots of existing ML systems are written in TF. Daily routine could consist of anything to data cleaning, data visualisation, feature selection, model selection, refining a model, model deployment, fiddling with APIs, really depends on the position.

Hands on Machine learning with scikit learn and Tensorflow by Geron will give you a good foundation, do as many hands on practical projects/examples as you can, avoid courses/tutorials unless you get stuck so you can learn to think for yourself!

FieldValue
text You could probably have guessed this, but the answer is 'it depends' to pretty much all of the above. Torch/TF, depends on the company. Torch is becoming more popular than TF, but lots of existing ML systems are written in TF. Daily routine could consist of anything to data cleaning, data visualisation, feature selection, model selection, refining a model, model deployment, fiddling with APIs, really depends on the position. Hands on Machine learning with scikit learn and Tensorflow by Geron w…
label r/deeplearning
dataType comment
communityName r/deeplearning
datetime 2024-05-23
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url_encoded Z0FBQUFBQm5Lak9uVm9LUG9EVVZNRzN5UzQxTGg4NlVtU01PU2tjR254VG4ycFd3X2lPQXMxS0N5TTV6SGxWQlVGOERGQVBSellfaUEzdjZ5SV9ZY1VVM1JFcFdWc3ZKYXF0NU9LLWhFbVlmU0hfR0hHSkpKa0dIYUVvWVpyOVBuMzZSTnNnemplVklJQ3h1YlAxOXlIb3MzV0ZkOXVxdEZfWDFJVGpmNmdkdFhldlZCenpGUURyWHMzbXJualEyai1YZ3FsbTFJSXd2

Raw Record

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  "text": "You could probably have guessed this, but the answer is 'it depends' to pretty much all of the above.\n\nTorch/TF, depends on the company. Torch is becoming more popular than TF, but lots of existing ML systems are written in TF. Daily routine could consist of anything to data cleaning, data visualisation, feature selection, model selection, refining a model, model deployment, fiddling with APIs, really depends on the position.\n\nHands on Machine learning with scikit learn and Tensorflow by Geron will give you a good foundation, do as many hands on practical projects/examples as you can, avoid courses/tutorials unless you get stuck so you can learn to think for yourself!",
  "label": "r/deeplearning",
  "dataType": "comment",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-23",
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Entry Information