Generative modeling

Q: How deeply does Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI cover generative modeling?

Explains practical capabilities and workflow applications, but stops short of detailing model architecture, training, or generation algorithms.

As explained in Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI

Artificial intelligence that generates new content, such as text, images, code, or structured outputs, from learned patterns.

Generative modeling uses learned patterns to produce new content or useful outputs. In data work, large language models generate and transform text, assist with feature engineering, write Python, interpret results, and produce summaries or reports. section 1.5

Practical uses include:

Generating text from prompts, completing phrases, and producing analytical explanations. section 1.5
Processing textual columns by summarizing, categorizing, identifying themes, or creating new features. section 1.5
Supporting machine-learning pipelines by answering cloud questions, generating or interpreting code, documenting implementations, and summarizing logs during debugging. section 11.4

From CSV to analysis

A data practitioner can provide a CSV containing textual fields to ChatGPT’s Advanced Data Analytics API, request preprocessing, analysis, visualizations, or a report, and receive executable Python code alongside tables and charts. section 1.5

How Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI covers it

Cover of Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI

liveBook manning.com

Read Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI on liveBook Get the book at manning.com

Also explained in

liveBook manning.com

Starting Data Analytics with Generative AI and PythonA machine-learning model that generates new content, such as text, code, or explanations, from learned patterns and user instructions.
liveBook manning.com

Introduction to Generative AI, Second EditionGenerative AI is the area of artificial intelligence focused on models that produce new content such as text, images, audio, or code.
liveBook manning.com

Generative AI in ActionGenerative AI is an artificial-intelligence approach that produces new content or processes rather than merely classifying or predicting properties of existing inputs.
liveBook manning.com

Coding with AIArtificial intelligence that produces new content, such as text, source code, documentation, or tests, from learned patterns and input instructions.
liveBook manning.com

Build Financial Software with Generative AI (From Scratch)Generative artificial intelligence, or generative AI, produces new content such as text, code, images, or other data from learned patterns and input.
liveBook manning.com

Effective Conversational AIAn AI model that creates new content, such as text, images, audio, or code, from learned patterns or conditioning information.
liveBook manning.com

First-Party Data ActivationArtificial intelligence that generates new content, such as text, images, audio, video, or code, from learned patterns.
liveBook manning.com

Data Without LabelsGenerative AI is artificial intelligence that generates new content, such as text, images, or video, from learned patterns and an input prompt or other condition.
liveBook manning.com

Build AI-Enhanced Web AppsGenerative AI is an artificial-intelligence paradigm that generates new content from learned patterns rather than only classifying inputs or following predefined rules.
liveBook manning.com

AI for Everyday ITGenerative AI is a class of artificial intelligence systems that produces new content, such as text, images, code, or structured data, from learned patterns and inputs.
liveBook manning.com

Inside AIGenerative artificial intelligence is an approach in which models produce new content such as text, images, audio, or code from learned patterns.
liveBook manning.com

Effective Data AnalysisA class of artificial-intelligence systems that generates new content such as text, code, images, audio, or video from learned patterns and inputs.
liveBook manning.com

Writing for Developers: Blogs that get readArtificial intelligence that generates new content such as text, images, audio, or code from learned patterns.
liveBook manning.com

The Art of AI Product DevelopmentArtificial intelligence that generates new content such as text, images, audio, or code from learned patterns.
liveBook manning.com

Deep Learning with R, Third EditionGenerative AI comprises computational models that produce new content such as text, images, audio, or code from learned patterns.
liveBook manning.com

Data-Driven CybersecurityGenerative AI is artificial intelligence that creates new content such as text, images, audio, or code from learned patterns.
liveBook manning.com

Graph Neural Networks in ActionA deep generative model is a generative model that uses neural networks to learn and generate data distributions.
liveBook manning.com

How Large Language Models WorkGenerative AI/ML is the area of artificial intelligence and machine learning concerned with producing new content or outputs.
liveBook manning.com

Outlier Detection in PythonA generative model represents a process or probability distribution capable of assigning likelihoods to observations or generating new observations.
liveBook manning.com

Learn Generative AI with PyTorchA class of AI systems that create new content such as text, images, code, audio, music, or video rather than only classifying existing inputs.
liveBook manning.com

Acing the CCNA Exam: Volume 2 Advanced Networking and SecurityGenerative AI is artificial intelligence that produces new content such as text, code, configurations, or designs from learned patterns and supplied requirements.
liveBook manning.com

Investing for ProgrammersArtificial intelligence that generates new content or information, including text, images, code, or synthesized insights.
liveBook manning.com

Deep Learning with Python, Third EditionAI systems that generate new text, images, or other content in response to prompts by modeling the distribution of data.
liveBook manning.com

The Complete Obsolete Guide to Generative AIA machine-learning model that produces new content resembling patterns learned from its training data.
liveBook manning.com

Evolutionary Deep Learning: Genetic algorithms and neural networksGenerative modeling is the machine-learning task of modeling a data-generating process so that its outputs can be replicated or newly generated.
liveBook manning.com

Build a Text-to-Image Generator (from Scratch)Generative AI is a class of machine-learning models that creates new content resembling patterns learned from data.
liveBook manning.com

Spring AI in ActionGenerative AI is artificial intelligence that produces new content such as text, images, audio, or code from learned patterns.
liveBook manning.com

Just Use Postgres!Generative AI comprises artificial-intelligence models that produce new content such as text, images, audio, or code from learned patterns.

Compare how 29 books explain generative modeling →

Related concepts

language modelincludes · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.
Gaussian mixture modelincludes · A Gaussian mixture model is a probabilistic model representing a distribution as a weighted combination of multiple Gaussian component distributions.
socio-technical systempart of · A socio-technical system is an interdependent arrangement of people, technology, processes, and social or organizational structures that interact to achieve outcomes.
artificial intelligencekind of · Artificial intelligence is the field concerned with creating computational systems that perform tasks associated with human intelligence, such as learning, reasoning, perception, or decision-making.
variational autoencoderincludes · A variational autoencoder is a generative neural network that learns a probabilistic latent representation of data and decodes samples from it to reconstruct or generate data.
generative adversarial networkincludes · A generative adversarial network is a generative model with a generator and discriminator trained in competition, enabling the generator to produce samples resembling a target dataset or distribution.

This explainer was generated by Manning's knowledge graph from the text of Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI. The section links point to the parts of the book it draws on.