Google Certified Professional Machine Learning Engineer
Seeders : 18 Leechers : 10
| Torrent Hash : | E20B1017F088D89B42FFA3F33DCCFE0AA38B5496 |
| Torrent Added : | at July 15, 2023, 5:01 p.m. in Other |
| Torrent Size : | 6.5 GB |
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Google Certified Professional Machine Learning Engineer
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Google Certified Professional Machine Learning Engineer
45 - Part 11 10 Questions.mp4 -
TutsNode.net.txt -
1 - Exam Guide Sample Questions.txt -
47 - Part 13 10 Questions English.vtt -
45 - Part 11 10 Questions English.vtt -
44 - Part 10 10 Questions English.vtt -
46 - Part 12 10 Questions English.vtt -
8 - Logistic Regression English.vtt -
14 - Introduction to Neural Networks and Deep Learning English.vtt -
41 - Part 7 10 Questions English.vtt -
43 - Part 9 10 Questions English.vtt -
42 - Part 8 10 Questions English.vtt -
2 - How to Improve Data Quality English.vtt -
40 - Part 6 10 Questions English.vtt -
39 - Part 5 10 Questions English.vtt -
38 - Part 4 10 Questions English.vtt -
48 - Part 14 7 Questions English.vtt -
37 - Part 3 10 Questions English.vtt -
36 - Part 2 10 Questions English.vtt -
16 - Loss Functions English.vtt -
35 - Part 1 10 Questions English.vtt -
34 - Feature Engineering in BigQuery English.vtt -
1 - Introduction English.vtt -
25 - TensorFlow 2 and the Keras Functional API English.vtt -
29 - Export model artifacts for prediction English.vtt -
44 - Explanations.txt -
0 -
44 - Part 10 10 Questions.mp4 -
15 - Gradient Descent English.vtt -
33 - Vertes AI Vizier English.vtt -
19 - Introduction to Tensorflow English.vtt -
17 - Activation Functions English.vtt -
26 - TensorFlow Extended TFX Overview English.vtt -
7 - Linear Regression English.vtt -
23 - TensorFlow Data Handling English.vtt -
4 - How EDA is Used in Machine Learning English.vtt -
24 - Embeddings English.vtt -
27 - Architecture for MLOps using TensorFlow Extended Vertex AI Pipelines and Cloud English.vtt -
20 - Tensorflow Scalar Vector Matrix 4D Tensors English.vtt -
18 - Ensemble Methods English.vtt -
3 - Exploratory Data Analysis EDA English.vtt -
11 - Evaluating AutoML Models English.vtt -
13 - BigQuery ML Model Types English.vtt -
9 - Machine Learning Vs Deep Learning English.vtt -
28 - Create Custom Training Jobs English.vtt -
6 - Supervised Learning English.vtt -
32 - Vertex Explainable AI English.vtt -
10 - Automated Machine Learning English.vtt -
5 - Data analysis and visualization English.vtt -
22 - Tensorflows tfdataDataset APIs English.vtt -
12 - ML Model Using BigQuery ML English.vtt -
21 - Tensorflow APIs English.vtt -
31 - Vertex AI Model Monitoring English.vtt -
30 - Vertex AI Feature Store English.vtt -
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47 - Part 13 10 Questions.mp4 -
2 -
42 - Part 8 10 Questions.mp4 -
3 -
41 - Part 7 10 Questions.mp4 -
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40 - Part 6 10 Questions.mp4 -
5 -
43 - Part 9 10 Questions.mp4 -
6 -
46 - Part 12 10 Questions.mp4 -
7 -
38 - Part 4 10 Questions.mp4 -
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39 - Part 5 10 Questions.mp4 -
9 -
48 - Part 14 7 Questions.mp4 -
10 -
36 - Part 2 10 Questions.mp4 -
11 -
37 - Part 3 10 Questions.mp4 -
12 -
35 - Part 1 10 Questions.mp4 -
13 -
14 - Introduction to Neural Networks and Deep Learning.mp4 -
14 -
8 - Logistic Regression.mp4 -
15 -
34 - Feature Engineering in BigQuery.mp4 -
16 -
16 - Loss Functions.mp4 -
17 -
25 - TensorFlow 2 and the Keras Functional API.mp4 -
18 -
1 - Introduction.mp4 -
19 -
2 - How to Improve Data Quality.mp4 -
20 -
19 - Introduction to Tensorflow.mp4 -
21 -
33 - Vertes AI Vizier.mp4 -
22 -
20 - Tensorflow Scalar Vector Matrix 4D Tensors.mp4 -
23 -
23 - TensorFlow Data Handling.mp4 -
24 -
17 - Activation Functions.mp4 -
25 -
15 - Gradient Descent.mp4 -
26 -
7 - Linear Regression.mp4 -
27 -
4 - How EDA is Used in Machine Learning.mp4 -
28 -
24 - Embeddings.mp4 -
29 -
27 - Architecture for MLOps using TensorFlow Extended Vertex AI Pipelines and Cloud.mp4 -
30 -
26 - TensorFlow Extended TFX Overview.mp4 -
31 -
28 - Create Custom Training Jobs.mp4 -
32 -
18 - Ensemble Methods.mp4 -
33 -
22 - Tensorflows tfdataDataset APIs.mp4 -
34 -
29 - Export model artifacts for prediction.mp4 -
35 -
11 - Evaluating AutoML Models.mp4 -
36 -
3 - Exploratory Data Analysis EDA.mp4 -
37 -
32 - Vertex Explainable AI.mp4 -
38 -
9 - Machine Learning Vs Deep Learning.mp4 -
39 -
13 - BigQuery ML Model Types.mp4 -
40 -
5 - Data analysis and visualization.mp4 -
41 -
6 - Supervised Learning.mp4 -
42 -
12 - ML Model Using BigQuery ML.mp4 -
43 -
21 - Tensorflow APIs.mp4 -
44 -
10 - Automated Machine Learning.mp4 -
45 -
31 - Vertex AI Model Monitoring.mp4 -
46 -
30 - Vertex AI Feature Store.mp4 -
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45 - Part 11 10 Questions.mp4 -
352.4 MB
TutsNode.net.txt -
63 bytes
1 - Exam Guide Sample Questions.txt -
70 bytes
47 - Part 13 10 Questions English.vtt -
40.7 KB
45 - Part 11 10 Questions English.vtt -
39.8 KB
44 - Part 10 10 Questions English.vtt -
39.0 KB
46 - Part 12 10 Questions English.vtt -
32.6 KB
8 - Logistic Regression English.vtt -
32.2 KB
14 - Introduction to Neural Networks and Deep Learning English.vtt -
31.9 KB
41 - Part 7 10 Questions English.vtt -
31.6 KB
43 - Part 9 10 Questions English.vtt -
31.6 KB
42 - Part 8 10 Questions English.vtt -
31.1 KB
2 - How to Improve Data Quality English.vtt -
30.5 KB
40 - Part 6 10 Questions English.vtt -
30.3 KB
39 - Part 5 10 Questions English.vtt -
28.5 KB
38 - Part 4 10 Questions English.vtt -
28.0 KB
48 - Part 14 7 Questions English.vtt -
25.8 KB
37 - Part 3 10 Questions English.vtt -
25.7 KB
36 - Part 2 10 Questions English.vtt -
25.1 KB
16 - Loss Functions English.vtt -
23.6 KB
35 - Part 1 10 Questions English.vtt -
23.5 KB
34 - Feature Engineering in BigQuery English.vtt -
22.9 KB
1 - Introduction English.vtt -
21.6 KB
25 - TensorFlow 2 and the Keras Functional API English.vtt -
21.3 KB
29 - Export model artifacts for prediction English.vtt -
8.5 KB
44 - Explanations.txt -
66 bytes
0 -
44 bytes
44 - Part 10 10 Questions.mp4 -
351.2 MB
15 - Gradient Descent English.vtt -
21.1 KB
33 - Vertes AI Vizier English.vtt -
18.0 KB
19 - Introduction to Tensorflow English.vtt -
18.0 KB
17 - Activation Functions English.vtt -
17.3 KB
26 - TensorFlow Extended TFX Overview English.vtt -
15.4 KB
7 - Linear Regression English.vtt -
15.2 KB
23 - TensorFlow Data Handling English.vtt -
14.1 KB
4 - How EDA is Used in Machine Learning English.vtt -
13.6 KB
24 - Embeddings English.vtt -
13.3 KB
27 - Architecture for MLOps using TensorFlow Extended Vertex AI Pipelines and Cloud English.vtt -
12.9 KB
20 - Tensorflow Scalar Vector Matrix 4D Tensors English.vtt -
12.8 KB
18 - Ensemble Methods English.vtt -
12.0 KB
3 - Exploratory Data Analysis EDA English.vtt -
10.9 KB
11 - Evaluating AutoML Models English.vtt -
10.9 KB
13 - BigQuery ML Model Types English.vtt -
10.1 KB
9 - Machine Learning Vs Deep Learning English.vtt -
10.0 KB
28 - Create Custom Training Jobs English.vtt -
9.3 KB
6 - Supervised Learning English.vtt -
8.7 KB
32 - Vertex Explainable AI English.vtt -
7.8 KB
10 - Automated Machine Learning English.vtt -
7.5 KB
5 - Data analysis and visualization English.vtt -
7.1 KB
22 - Tensorflows tfdataDataset APIs English.vtt -
7.0 KB
12 - ML Model Using BigQuery ML English.vtt -
7.0 KB
21 - Tensorflow APIs English.vtt -
4.5 KB
31 - Vertex AI Model Monitoring English.vtt -
3.3 KB
30 - Vertex AI Feature Store English.vtt -
3.2 KB
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37 - Explanation.txt -
65 bytes
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45 - Explanations.txt -
66 bytes
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1 -
558.8 KB
47 - Part 13 10 Questions.mp4 -
324.1 MB
2 -
913.4 KB
42 - Part 8 10 Questions.mp4 -
321.0 MB
3 -
34.6 KB
41 - Part 7 10 Questions.mp4 -
291.8 MB
4 -
243.4 KB
40 - Part 6 10 Questions.mp4 -
291.7 MB
5 -
295.8 KB
43 - Part 9 10 Questions.mp4 -
283.0 MB
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983.4 KB
46 - Part 12 10 Questions.mp4 -
274.8 MB
7 -
244.4 KB
38 - Part 4 10 Questions.mp4 -
266.6 MB
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433.3 KB
39 - Part 5 10 Questions.mp4 -
264.4 MB
9 -
580.9 KB
48 - Part 14 7 Questions.mp4 -
235.9 MB
10 -
119.1 KB
36 - Part 2 10 Questions.mp4 -
232.8 MB
11 -
158.1 KB
37 - Part 3 10 Questions.mp4 -
231.0 MB
12 -
29.6 KB
35 - Part 1 10 Questions.mp4 -
204.5 MB
13 -
542.4 KB
14 - Introduction to Neural Networks and Deep Learning.mp4 -
186.5 MB
14 -
462.7 KB
8 - Logistic Regression.mp4 -
183.2 MB
15 -
774.1 KB
34 - Feature Engineering in BigQuery.mp4 -
144.6 MB
16 -
373.5 KB
16 - Loss Functions.mp4 -
140.7 MB
17 -
311.6 KB
25 - TensorFlow 2 and the Keras Functional API.mp4 -
135.8 MB
18 -
222.4 KB
1 - Introduction.mp4 -
132.0 MB
19 -
21.4 KB
2 - How to Improve Data Quality.mp4 -
123.7 MB
20 -
344.9 KB
19 - Introduction to Tensorflow.mp4 -
108.6 MB
21 -
437.8 KB
33 - Vertes AI Vizier.mp4 -
105.7 MB
22 -
334.5 KB
20 - Tensorflow Scalar Vector Matrix 4D Tensors.mp4 -
97.0 MB
23 -
993.6 KB
23 - TensorFlow Data Handling.mp4 -
94.8 MB
24 -
177.9 KB
17 - Activation Functions.mp4 -
94.1 MB
25 -
887.4 KB
15 - Gradient Descent.mp4 -
91.0 MB
26 -
5.3 KB
7 - Linear Regression.mp4 -
84.0 MB
27 -
16.6 KB
4 - How EDA is Used in Machine Learning.mp4 -
82.5 MB
28 -
524.6 KB
24 - Embeddings.mp4 -
80.1 MB
29 -
953.0 KB
27 - Architecture for MLOps using TensorFlow Extended Vertex AI Pipelines and Cloud.mp4 -
78.2 MB
30 -
869.6 KB
26 - TensorFlow Extended TFX Overview.mp4 -
76.0 MB
31 -
1005.2 KB
28 - Create Custom Training Jobs.mp4 -
68.7 MB
32 -
294.2 KB
18 - Ensemble Methods.mp4 -
61.0 MB
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46.6 KB
22 - Tensorflows tfdataDataset APIs.mp4 -
54.5 MB
34 -
503.9 KB
29 - Export model artifacts for prediction.mp4 -
52.8 MB
35 -
177.1 KB
11 - Evaluating AutoML Models.mp4 -
52.2 MB
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832.0 KB
3 - Exploratory Data Analysis EDA.mp4 -
51.5 MB
37 -
488.8 KB
32 - Vertex Explainable AI.mp4 -
50.1 MB
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945.8 KB
9 - Machine Learning Vs Deep Learning.mp4 -
49.6 MB
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401.6 KB
13 - BigQuery ML Model Types.mp4 -
48.9 MB
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123.1 KB
5 - Data analysis and visualization.mp4 -
46.4 MB
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636.5 KB
6 - Supervised Learning.mp4 -
41.5 MB
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535.1 KB
12 - ML Model Using BigQuery ML.mp4 -
38.8 MB
43 -
244.9 KB
21 - Tensorflow APIs.mp4 -
26.5 MB
44 -
465.4 KB
10 - Automated Machine Learning.mp4 -
20.3 MB
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667.7 KB
31 - Vertex AI Model Monitoring.mp4 -
17.0 MB
46 -
10.4 KB
30 - Vertex AI Feature Store.mp4 -
14.8 MB
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