Google Cloud Platform for Data Science: A Crash Course on Big Data, Machine Learning, and Data Analytics Services, Paperback
MZN 2255
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This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for data science, using only the free tier services offered by the platform.
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What Stands Out
Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Pub date | 2023-11-18 |
| Pages | 219 |
| Reading level | Professional & Vocational |
| Subgenre | Data Science |
| Series title | No Series |
| Edition | 1 |
| Publisher | Apress |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.14 x 0.51 x 9.21 Inches (15.6 x 1.3 x 23.4 cm) |
| Assembled product weight | 0.75 lb (340 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Aspiring Data Scientists
This course is ideal for beginners wanting to explore big data and machine learning using Google Cloud.
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Cloud Professionals
Cloud experts looking to enhance their skills in data analytics services will benefit from the in-depth content.
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Business Analysts
Business analysts seeking to leverage data-driven decision-making with cloud technologies will find valuable insights here.
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Advanced Data Scientists
Experienced professionals may find the content too basic and not challenging enough for their expertise.
Product Description
Google Cloud Platform for Data Science: A Crash Course on Big Data, Machine Learning, and Data Analytics Services, Paperback
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Shitalkumar R Sukhdeve All Books Editorial Review
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MZN 2255
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Features & Benefits
- Learn to leverage Google Cloud Platform (GCP) for data science and big data projects.
- Access comprehensive step-by-step instructions for utilizing GCP's free tier services.
- Topics include account setup, Google Colaboratory, BigQuery, and machine learning deployment.
- Master data processing, transformation, and visualization techniques.
- Understand advanced GCP features like Vertex AI, Dataflow, and Cloud SQL.
- Ideal for data scientists and machine learning professionals seeking practical skills.
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