NASSCOM: Big Data \u0026 Analytics Summit 2017 – Session I: Opening Keynote | ิbig data คือ

NASSCOM: Big Data \u0026 Analytics Summit 2017 – Session I: Opening Keynote

นอกจากการดูบทความนี้แล้ว คุณยังสามารถดูข้อมูลที่เป็นประโยชน์อื่นๆ อีกมากมายที่เราให้ไว้ที่นี่: ดูเพิ่มเติม

Artificial Intelligence: good news, bad news or fake news?
Tanmay Bakshi, World’s Youngest IBM Watson Coder, IBM

NASSCOM: Big Data \u0026 Analytics Summit 2017 - Session I: Opening Keynote

Big Data อาวุธธุรกิจไทยในสมรภูมิ New Normal

เพราะ Big Data ใกล้ตัวเรามากกว่าที่คิด! และ Big Data นี่แหละอาจเป็นอาวุธที่จะเป็นตัวเปลี่ยนเกมให้ธุรกิจไทยเติบโตสวนกระแสสมรภูมิ New Normal ได้! beartai คุยกับ ดร.วิโรจน์ จิรพัฒนกุล อดีต Data Scientist จาก Facebook และผู้ร่วมก่อตั้ง Skooldio ที่จะมาอธิบายแบบง่าย ๆ ให้ฟังว่า Big Data คืออะไร ข้อมูลจะทำให้ธุรกิจเติบโตได้อย่างไร และทำไมเจ้านายไทยบางคนอาจทำให้ธุรกิจไทยไปไม่ถึง Big Data!

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Big Data อาวุธธุรกิจไทยในสมรภูมิ New Normal

What is Big Data and how does it work?

We explain in collaboration with Anchormen what Big Data is and the possibilities that it holds.
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What is Big Data and how does it work?

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⌨️ Part 1: Data Science: An Introduction: Foundations of Data Science
Welcome (1.1)
Demand for Data Science (2.1)
The Data Science Venn Diagram (2.2)
The Data Science Pathway (2.3)
Roles in Data Science (2.4)
Teams in Data Science (2.5)
Big Data (3.1)
Coding (3.2)
Statistics (3.3)
Business Intelligence (3.4)
Do No Harm (4.1)
Methods Overview (5.1)
Sourcing Overview (5.2)
Coding Overview (5.3)
Math Overview (5.4)
Statistics Overview (5.5)
Machine Learning Overview (5.6)
Interpretability (6.1)
Actionable Insights (6.2)
Presentation Graphics (6.3)
Reproducible Research (6.4)
Next Steps (7.1)

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⌨️ Part 2: Data Sourcing: Foundations of Data Science (1:39:46)
Welcome (1.1)
Metrics (2.1)
Accuracy (2.2)
Social Context of Measurement (2.3)
Existing Data (3.1)
APIs (3.2)
Scraping (3.3)
New Data (4.1)
Interviews (4.2)
Surveys (4.3)
Card Sorting (4.4)
Lab Experiments (4.5)
A/B Testing (4.6)
Next Steps (5.1)
⌨️ Part 3: Coding (2:32:42)
Welcome (1.1)
Spreadsheets (2.1)
Tableau Public (2.2)
SPSS (2.3)
JASP (2.4)
Other Software (2.5)
HTML (3.1)
XML (3.2)
JSON (3.3)
R (4.1)
Python (4.2)
SQL (4.3)
C, C++, \u0026 Java (4.4)
Bash (4.5)
Regex (5.1)
Next Steps (6.1)

⌨️ Part 4: Mathematics (4:01:09)
Welcome (1.1)
Elementary Algebra (2.1)
Linear Algebra (2.2)
Systems of Linear Equations (2.3)
Calculus (2.4)
Calculus \u0026 Optimization (2.5)
Big O (3.1)
Probability (3.2)

⌨️ Part 5: Statistics (4:44:03)
Welcome (1.1)
Exploration Overview (2.1)
Exploratory Graphics (2.2)
Exploratory Statistics (2.3)
Descriptive Statistics (2.4)
Inferential Statistics (3.1)
Hypothesis Testing (3.2)
Estimation (3.3)
Estimators (4.1)
Measures of Fit (4.2)
Feature Selection (4.3)
Problems in Modeling (4.4)
Model Validation (4.5)
DIY (4.6)
Next Step (5.1)

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นอกจากการดูหัวข้อนี้แล้ว คุณยังสามารถเข้าถึงบทวิจารณ์ดีๆ อื่นๆ อีกมากมายได้ที่นี่: ดูบทความเพิ่มเติมในหมวดหมู่Lyrics

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