Principles of Data Science
portes grátis
Principles of Data Science
A beginner's guide to essential math and coding skills for data fluency and machine learning
Ozdemir, Sinan
Packt Publishing Limited
01/2024
326
Mole
Inglês
9781837636303
15 a 20 dias
Descrição não disponível.
Table of Contents
Data Science Terminology
Types of Data
The Five Steps of Data Science
Basic Mathematics
Impossible or Improbable - A Gentle Introduction to Probability
Advanced Probability
What are the Chances? An Introduction to Statistics
Advanced Statistics
Communicating Data
How to Tell if Your Toaster is Learning - Machine Learning Essentials
Predictions Don't Grow on Trees, or Do They?
Introduction to Transfer Learning and Pre-trained Models
Mitigating Algorithmic Bias and Tackling Model and Data Drift
AI Governance
Navigating Real-World Data Science Case Studies in Action
Data Science Terminology
Types of Data
The Five Steps of Data Science
Basic Mathematics
Impossible or Improbable - A Gentle Introduction to Probability
Advanced Probability
What are the Chances? An Introduction to Statistics
Advanced Statistics
Communicating Data
How to Tell if Your Toaster is Learning - Machine Learning Essentials
Predictions Don't Grow on Trees, or Do They?
Introduction to Transfer Learning and Pre-trained Models
Mitigating Algorithmic Bias and Tackling Model and Data Drift
AI Governance
Navigating Real-World Data Science Case Studies in Action
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Machine learning book; Data Science for business; Dive into data science; Python data science
Table of Contents
Data Science Terminology
Types of Data
The Five Steps of Data Science
Basic Mathematics
Impossible or Improbable - A Gentle Introduction to Probability
Advanced Probability
What are the Chances? An Introduction to Statistics
Advanced Statistics
Communicating Data
How to Tell if Your Toaster is Learning - Machine Learning Essentials
Predictions Don't Grow on Trees, or Do They?
Introduction to Transfer Learning and Pre-trained Models
Mitigating Algorithmic Bias and Tackling Model and Data Drift
AI Governance
Navigating Real-World Data Science Case Studies in Action
Data Science Terminology
Types of Data
The Five Steps of Data Science
Basic Mathematics
Impossible or Improbable - A Gentle Introduction to Probability
Advanced Probability
What are the Chances? An Introduction to Statistics
Advanced Statistics
Communicating Data
How to Tell if Your Toaster is Learning - Machine Learning Essentials
Predictions Don't Grow on Trees, or Do They?
Introduction to Transfer Learning and Pre-trained Models
Mitigating Algorithmic Bias and Tackling Model and Data Drift
AI Governance
Navigating Real-World Data Science Case Studies in Action
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
