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0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url |
377б |
001 AI at Google.txt |
18б |
001 Apache Beam overview.txt |
51б |
001 Apache Beam programming model.txt |
71б |
001 BigQuery Basics.mp4 |
15.30Мб |
001 BigQuery documentation - working with datasets.txt |
54б |
001 BigQuery main page.txt |
35б |
001 Bigtable Concepts.mp4 |
13.93Мб |
001 Cloud AI Cloud APIs.mp4 |
12.62Мб |
001 Cloud Composer Overview.mp4 |
15.30Мб |
001 Cloud Datalab docs.txt |
39б |
001 Colab tutorial.txt |
44б |
001 Dataflow Introduction.mp4 |
15.39Мб |
001 Datalab Concepts.mp4 |
9.36Мб |
001 Dataprep Overview.mp4 |
25.06Мб |
001 Data Processing Concepts.mp4 |
93.68Мб |
001 Dataproc Overview.mp4 |
8.89Мб |
001 Deep Learning with TensorFlow.mp4 |
17.03Мб |
001 GCP Solutions Big Data.txt |
42б |
001 Google AI and machine learning products.txt |
38б |
001 Interacting with BigQuery.txt |
65б |
001 Introduction to AutoML.mp4 |
10.01Мб |
001 Introduction to Data Storage in GCP.mp4 |
59.10Мб |
001 Introduction to Operationalizing ML Models.mp4 |
11.33Мб |
001 Keras.txt |
17б |
001 Keras overview.txt |
48б |
001 Machine Learning Introduction.mp4 |
25.62Мб |
001 MapReduce.mp4 |
48.99Мб |
001 MapReduce research paper.pdf |
186.24Кб |
001 Project Jupyter.txt |
20б |
001 PubSub Concepts.mp4 |
51.34Мб |
001 Reference Architectures Big Data.mp4 |
23.31Мб |
001 Reporting and Business Intelligence.mp4 |
7.83Мб |
001 Security and Regulation Overview.mp4 |
20.65Мб |
001 TensforFlow overview.txt |
37б |
001 The difference between AI ML and deep learning.txt |
117б |
001 Welcome.mp4 |
30.15Мб |
002 About This Course.mp4 |
48.42Мб |
002 Activation functions.txt |
81б |
002 BigQuery Capacitor.txt |
110б |
002 BigQuery documentation - BigQuery jobs.txt |
53б |
002 BigQuery documentation - loading data into BigQuery.txt |
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002 BigQuery documentation - table schemas.txt |
47б |
002 BigQuery documentation - views.txt |
51б |
002 BigQuery documentation - working with external data.txt |
56б |
002 BigQuery documentation - working with tables.txt |
52б |
002 BigQuery Transfer Service.txt |
74б |
002 Bigtable Application Profiles.txt |
52б |
002 Bigtable Architecture.mp4 |
15.18Мб |
002 Bigtable IAM Roles.txt |
54б |
002 Bigtable Quotas Limits.txt |
41б |
002 Cloud Composer Architecture.mp4 |
8.86Мб |
002 Data Distributions.mp4 |
20.83Мб |
002 Dataproc Basics.mp4 |
8.31Мб |
002 Data Processing Pipelines.mp4 |
18.79Мб |
002 GCP Solutions AI ML.txt |
45б |
002 Hadoop HDFS.mp4 |
22.79Мб |
002 IAM Best Practices.mp4 |
14.83Мб |
002 Introduction to Artificial Neural Networks.mp4 |
45.54Мб |
002 Kubeflow.mp4 |
7.86Мб |
002 L1 Regularisation.txt |
106б |
002 L2 Regularisation.txt |
108б |
002 LAB Working with Cloud Datalab.mp4 |
37.08Мб |
002 LAB Working with Cloud Dataprep.mp4 |
59.99Мб |
002 Learn Tensorflow.txt |
33б |
002 Linear regression.txt |
97б |
002 Machine Learning Basics.mp4 |
39.87Мб |
002 ML Terminology.txt |
83б |
002 Mock data files.Mock data files |
97.76Кб |
002 Overview of deep learning.txt |
66б |
002 Pipeline Lifecycle.mp4 |
16.12Мб |
002 PubSub Basics.mp4 |
8.90Мб |
002 Reference Architectures Artificial Intelligence and Machine Learning.mp4 |
10.81Мб |
002 Regularisation.txt |
77б |
002 Sight with AutoML.mp4 |
12.54Мб |
002 Training models.txt |
97б |
002 Using BigQuery.mp4 |
37.37Мб |
002 Vision.mp4 |
26.36Мб |
002 Weights and layers.txt |
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002 Worked gradient descent example.html |
38.46Кб |
002 Working with Data.mp4 |
16.16Мб |
003 AI Platform.mp4 |
9.06Мб |
003 Apache Pig.mp4 |
7.43Мб |
003 BigQuery documentation - working with clustered tables.txt |
56б |
003 BigQuery documentation - working with partitions.txt |
58б |
003 Bigtable Data Model.mp4 |
10.23Мб |
003 Bigtable Garbage Collection Defaults.txt |
67б |
003 Cloud Storage.mp4 |
23.08Мб |
003 Course Audience and Prerequisites.mp4 |
12.35Мб |
003 Dataflow Pipeline Concepts.mp4 |
15.22Мб |
003 Data Security.mp4 |
11.83Мб |
003 Difference between supervised unsupervised and reinforcement learning.txt |
75б |
003 Estimating Pi using the Monte Carlo method.txt |
53б |
003 GCP Regions and Zones.txt |
52б |
003 GCP Solutions IoT.txt |
54б |
003 GCS Documentation.txt |
39б |
003 GCS Pricing.txt |
41б |
003 hadoop-wordcount.py.zip |
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003 Introduction to clustering.txt |
80б |
003 Introduction to Data Studio.mp4 |
7.73Мб |
003 Introduction to Jupyter Notebooks (ACG Course).txt |
60б |
003 Introduction to linear regression.txt |
88б |
003 Introduction to logistic regression.txt |
90б |
003 Introduction to transfer learning.txt |
72б |
003 LAB Jupyter Notebooks in GCP.mp4 |
40.22Мб |
003 Lab Working with Cloud Composer.mp4 |
46.60Мб |
003 LAB Working with Cloud Dataproc.mp4 |
20.96Мб |
003 LAB Working with Cloud PubSub.mp4 |
31.70Мб |
003 Language with AutoML.mp4 |
11.73Мб |
003 Machine Learning Types and Models.mp4 |
24.91Мб |
003 Monte Carlo method.txt |
49б |
003 Neural Network Architectures.mp4 |
20.14Мб |
003 Partitioning and Clustering.mp4 |
23.63Мб |
003 Reference Architectures Internet of Things.mp4 |
11.18Мб |
003 Security Command Center Quick Start.txt |
75б |
003 Submitting jobs to Cloud Dataproc.txt |
57б |
003 Video Intelligence.mp4 |
17.82Мб |
003 War Peace at Project Gutenburg.txt |
37б |
004 Advanced Cloud Composer.mp4 |
9.52Мб |
004 Advanced Dataflow Concepts.mp4 |
15.18Мб |
004 Advanced Dataproc.mp4 |
15.83Мб |
004 Agones Overview.txt |
39б |
004 Airflow Plugins.html |
113.74Кб |
004 Apache Spark.mp4 |
30.23Мб |
004 Autoscaling Clusters.txt |
81б |
004 Best Practices.mp4 |
21.64Мб |
004 Blocked Configurations.txt |
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004 bored.py |
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004 Building a Neural Network.mp4 |
10.75Мб |
004 cbt Reference.txt |
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004 Charts and Filters.mp4 |
13.96Мб |
004 Cloud Bigtable examples.txt |
67б |
004 Cloud DLP Pricing.txt |
37б |
004 Concepts.txt |
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004 Controlling costs.txt |
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004 Cross validation.txt |
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004 Data Privacy.mp4 |
12.77Мб |
004 Dataproc Cluster Properties.txt |
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004 Dataproc IAM.txt |
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004 Early stopping.txt |
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004 GCP Samples (C).txt |
59б |
004 GCP Samples (Go).txt |
54б |
004 GCP Samples (Java).txt |
57б |
004 GCP Samples (PHP).txt |
56б |
004 GCP Samples (Python).txt |
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004 GCP Samples (Ruby).txt |
57б |
004 GCP Solutions Gaming.txt |
38б |
004 GCS Access Control Lists (ACLs).txt |
73б |
004 GCS IAM Permissions.txt |
75б |
004 L1 Regularisation.txt |
106б |
004 L2 Regularisation.txt |
108б |
004 LAB Cloud PubSub Client Libraries.mp4 |
40.61Мб |
004 Lab commands.Lab commands |
1.14Кб |
004 LAB Working with Cloud Bigtable.mp4 |
51.77Мб |
004 Language.mp4 |
25.10Мб |
004 Node.txt |
44б |
004 Optimising storage.txt |
62б |
004 Overfitting.mp4 |
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004 Query performance.txt |
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004 Reference Architectures Mobile Gaming.mp4 |
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004 Regularisation.txt |
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004 Service Accounts.mp4 |
14.87Мб |
004 Structured Data with AutoML.mp4 |
9.71Мб |
005 Advanced PubSub.mp4 |
17.30Мб |
005 Apache Kafka.mp4 |
17.08Мб |
005 Applied Machine Learning with BigQuery (ACG).txt |
64б |
005 AutoML Vision API Tutorial.txt |
53б |
005 BigQuery Data Transfer Service.txt |
44б |
005 Bigtable Schema Design.mp4 |
16.63Мб |
005 Cloud KMS keys.txt |
67б |
005 Cloud Storage Transfer Service.txt |
48б |
005 Complying with COPPA FAQ.txt |
100б |
005 Conversation.mp4 |
27.47Мб |
005 Dataflow Security and Access.mp4 |
17.06Мб |
005 Data Loss Prevention and BigQuery.txt |
53б |
005 Data Transfer Services.mp4 |
8.90Мб |
005 Encryption at rest.txt |
58б |
005 EU Data Protection Rules (GDPR).txt |
149б |
005 External Resources and Tutorials.mp4 |
8.73Мб |
005 FedRAMP FAQs.txt |
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005 GCP Compliance Resource Center.txt |
46б |
005 Hyperparameters.mp4 |
10.02Мб |
005 Hyperparameters and parameters.txt |
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005 Hyperparameter tuning.txt |
117б |
005 Industry Regulation.mp4 |
17.15Мб |
005 Introduction to Jupyter Notebooks (ACG).txt |
60б |
005 LAB Cloud Dataproc with the GCS Connector.mp4 |
25.03Мб |
005 ML Basics with Keras Tutorials.txt |
58б |
005 PCI DSS Quick Reference Guide.txt |
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005 Predefined roles and permissions.txt |
54б |
005 Primitive roles and permissions.txt |
70б |
005 Project Gutenberg.txt |
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005 PubSub IAM Roles.txt |
67б |
005 PubSub Stackdriver Metrics.txt |
63б |
005 Python for Beginners (ACG).txt |
47б |
005 Securing BigQuery.mp4 |
11.64Мб |
005 TensorFlow 2 Quickstart Tutorial.txt |
57б |
005 Visualizing Cloud Bigtable Access Patterns at Twitter for Optimizing Analytics (YouTube).txt |
44б |
005 Visualizing GCP Billing using BigQuery and Data Studio.txt |
98б |
005 wordcount.py |
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006 Audit logs.txt |
60б |
006 BigQuery Monitoring and Logging.mp4 |
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006 Bigtable Advanced Concepts.mp4 |
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006 Bleeding hand picture.txt |
59б |
006 Cleaning data.txt |
89б |
006 Cloud SQL.mp4 |
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006 Cloud SQL Documentation.txt |
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006 Cute dog picture.txt |
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006 Deploying a pipeline.txt |
67б |
006 Exam Guide Breakdown.mp4 |
60.35Мб |
006 Exam Tips.mp4 |
8.63Мб |
006 Feature Engineering.mp4 |
23.63Мб |
006 Feature engineering.txt |
95б |
006 GCP Pricing.txt |
38б |
006 Lab code.Lab code |
3.45Кб |
006 LAB Loosely Coupled Services with Cloud PubSub.mp4 |
35.77Мб |
006 LAB Working with Cloud ML APIs.mp4 |
52.56Мб |
006 Monitoring a Cloud Bigtable Instance.txt |
59б |
006 Monitoring using Stackdriver.txt |
50б |
006 Replicating from an external server.txt |
68б |
006 Requirements and tips for configuring replication.txt |
57б |
006 Source Code gen_thumbnail.Source Code gen_thumbnail |
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006 Using Dataflow.mp4 |
22.15Мб |
007 BigQuery ML documentation.txt |
43б |
007 Cloud Bigtable examples.txt |
63б |
007 dataloader.py |
970б |
007 Exam Tips.mp4 |
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007 Fire Weather Index (FWI) System.txt |
74б |
007 forestfires.csv |
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007 Forest Fires dataset.txt |
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007 forumdb.sql |
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007 LAB Creating a Cloud SQL Instance and Loading Data.mp4 |
29.54Мб |
007 LAB Loading and Querying Data with Cloud Bigtable.mp4 |
40.71Мб |
007 LAB Stream Data through Cloud PubSub to BigQuery.mp4 |
59.58Мб |
007 Machine Learning with BigQuery ML.mp4 |
10.44Мб |
007 MOCK_DATA.csv |
39.22Кб |
007 transactions.py |
1.09Кб |
007 What to Expect From the Exam.mp4 |
24.49Мб |
008 Cloud Firestore.mp4 |
23.60Мб |
008 Cloud Firestore Documentation.txt |
41б |
008 Exam Tips.mp4 |
10.97Мб |
008 Exam Tips.mp4 |
9.58Мб |
008 Exam Tips.mp4 |
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008 Lab Commands.Lab Commands |
586б |
008 LAB Working with Cloud Dataflow.mp4 |
31.60Мб |
008 Thank You and Good Luck.mp4 |
10.18Мб |
009 ANSI SQL best practices.txt |
57б |
009 Beam Programming Guide.txt |
57б |
009 CAP Theorem.txt |
42б |
009 Cloud Spanner.mp4 |
28.26Мб |
009 Cloud Spanner Documentation.txt |
39б |
009 Distributed database quorums.txt |
61б |
009 Dummy data files.Dummy data files |
83.29Кб |
009 Lab Code.Lab Code |
3.07Кб |
009 Lab Commands.Lab Commands |
479б |
009 Lab Commands.Lab Commands |
429б |
009 LAB Streaming Pipelines with Cloud Dataflow.mp4 |
60.04Мб |
009 LAB Working with BigQuery.mp4 |
38.57Мб |
009 Loading CSV data from Cloud Storage.txt |
70б |
009 Loading JSON data from Cloud Storage.txt |
71б |
009 Multi-regional best practices.txt |
76б |
009 Regional best practices.txt |
72б |
010 GCP Samples (C).txt |
59б |
010 GCP Samples (Go).txt |
54б |
010 GCP Samples (Java).txt |
57б |
010 GCP Samples (PHP).txt |
56б |
010 GCP Samples (Python).txt |
59б |
010 GCP Samples (Ruby).txt |
57б |
010 LAB Advanced BigQuery Features.mp4 |
58.13Мб |
010 Lab Commands.Lab Commands |
1.87Кб |
010 LAB Working with Cloud Spanner.mp4 |
21.85Мб |
010 Node.txt |
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010 spannerlab-schema.sql |
349б |
011 Cloud Memorystore.mp4 |
10.39Мб |
011 Cloud Memorystore Documentation.txt |
49б |
012 LAB Working with Cloud Memorystore.mp4 |
35.96Мб |
012 Redis-CLI Documentation.txt |
33б |
012 Retwis GitHub repo.txt |
46б |
013 Comparing Storage Options.mp4 |
14.66Мб |
014 Exam Tips.mp4 |
6.93Мб |
1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url |
286б |
2. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, & more.etc.url |
163б |
3. (FTUApps.com) Download Cracked Developers Applications For Free.url |
239б |
How you can help our Group!.txt |
208б |