일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | |||||
3 | 4 | 5 | 6 | 7 | 8 | 9 |
10 | 11 | 12 | 13 | 14 | 15 | 16 |
17 | 18 | 19 | 20 | 21 | 22 | 23 |
24 | 25 | 26 | 27 | 28 | 29 | 30 |
31 |
- HEAPS
- Data Analyst
- binary search tree
- BST
- Algorithms
- 뉴욕 화장실
- algorithm
- Computer Organization
- Binary Tree
- exam
- priority queue
- Computer Science
- 빅데이터 커리어 가이드북
- data
- 빅데이터 지식
- 데이터 분석가
- Newyork
- Preparing for the Google Cloud Professional Data Engineer Exam
- Data Structure
- hash
- 빅데이터
- 화장실 지도
- Linked List
- data scientist
- dataStructure
- 데이터 엔지니어
- Data Engineer
- Study
- Restroom
- Heap
- Today
- Total
목록Data Science (12)
Jaegool_'s log
Python offers a diverse library ecosystem for data science, covering scientific computing (Pandas, NumPy), visualization (Matplotlib, Seaborn), and high-level machine learning (Scikit-learn). These libraries offer tools for data manipulation, mathematical operations, and simplified machine learning model development. Application Programming Interfaces (APIs) facilitate communication between soft..

Getting started with the Model Asset Exchange and the Data Asset Exchange In this lab, you will explore the Model Asset Exchange (MAX) and the Data Asset Exchange (DAX), which are two open source Data Science resources on IBM Developer. Objective of Exercise 1: Find open data sets on IBM Developer. Explore the data sets. Objective of Exercise 2: Find ready-to-use deep learning models on the Mode..

Open datasets and sources In this data-driven world, some datasets are freely available for anyone to access, use, modify, and share. These are called open datasets. Open datasets include a public license and are very useful for your journey as a Data Scientist. Some of the most informative open dataset sources are listed below. Government Data: https://www.data.gov/ https://www.census.gov/data...
Summary The Data Science Task Categories include: Data Management - storage, management and retrieval of data Data Integration and Transformation - streamline data pipelines and automate data processing tasks Data Visualization - provide graphical representation of data and assist with communicating insights Modelling - enable Building, Deployment, Monitoring and Assessment of Data and Machine L..
Week 1: What Do Data Scientists Do? Data science is the field of exploring, manipulating, and analyzing data, and using data to answer questions or make recommendations. Summary - Data science is the study of large quantities of data, which can reveal insights that help organizations make strategic choices. - There are many paths to a career in data science; most, but not all, involve math, prog..

This section of the course showcases Google Cloud’s five core storage products: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore. 학습 목표 Identify the purpose of and use cases for Cloud Storage. Distinguish between Google Cloud's storage options. Cloud Storage These unique keys are in the form of URLs, which means object storage interacts well with Web technologies. Data comm..
Section 1. Setting up a cloud solution environment 1.1 Setting up cloud projects and accounts. Activities include: a. Creating a resource hierarchy b. Applying organizational policies to the resource hierarchy c. Granting members IAM roles within a project d. Managing users and groups in Cloud Identity (manually and automated) e. Enabling APIs within projects f. Provisioning and setting up produ..
1. Release는 같은 제품을 새롭게 만드는 것을 의미 - ip adress를 release한다는 말은 새로운 아이피 번호를 부여받는 의미, 제품에선 새로운 버전을 release한다고 할 때 사용 2. Deploy는 프로그램등을 서버와 같은 기기에 설치하여 작동가능하도록 만드는 일 3. Distribute는 제품을 사용자들이 사용할 수 있도록 서비스 등을 제공하는 의미 ex) 페이스북 버전 x.x.x가 새롭게 release되었고, 이를 서버에 deploy하여 사용자들이 사용할 수 있도록 distribute 하였습니다.