Heurist.org | Category: Machine Learning

Discover (Random Books)

I Think, Therefore I Draw: Understanding Philosophy Through Cartoons

I Think, Therefore I Draw: Understanding Philosophy Through ...

Thomas Cathcart & Daniel Klein

Making the Social World: The Structure of Human Civilization

Making the Social World: The Structure of Human Civilization

John Rogers Searle

Hopf Bifurcation and Phase Patterns in Symmetric Ring Networks - Paper

Hopf Bifurcation and Phase Patterns in Symmetric Ring Networks ...

French Revolution: A History From Beginning to End

French Revolution: A History From Beginning to End

Hacking With Python: Beginner's Guide to Ethical Hacking, Basic Security, Penetration Testing, and Python Hacking

Hacking With Python: Beginner's Guide to Ethical Hacking, Basic ...

Category: Machine Learning

WSN and IoT: An Integrated Approach for Smart Applications

WSN and IoT: An Integrated Approach for Smart Applications

Shalli Rani & Ashu Taneja

Weakly Supervised Learning: Doing More With Less Data

Weakly Supervised Learning: Doing More With Less Data

Wee Hyong Tok & Amit Bahree & Senja Filipi

Transfer Learning for Natural Language Processing

Transfer Learning for Natural Language Processing

Think Bayes: Bayesian Statistics in Python

Think Bayes: Bayesian Statistics in Python

Allen B. Downey

Soft Computing in Materials Development and its Sustainability in the Manufacturing Sector

Soft Computing in Materials Development and its Sustainability ...

Amar Patnaik & Vikas Kukshal & Ankush Sharma & Mahavir Choudhary

Smart Agriculture; Emerging Pedagogies of Deep Learning, Machine Learning and Internet of Things

Smart Agriculture; Emerging Pedagogies of Deep Learning, Machine ...

Govind Singh Patel

Real-World Natural Language Processing: Practical Applications With Deep Learning

Real-World Natural Language Processing: Practical Applications ...

Masato Hagiwara

Prediction and Analysis for Knowledge Representation and Machine Learning

Prediction and Analysis for Knowledge Representation and Machine ...

Avadhesh Kumar & Shrddha Sagar & T. Ganesh Kumar & K. Sampath Kumar

Natural Language Processing With Transformers: Building Language Applications With Hugging Face

Natural Language Processing With Transformers: Building Language ...

Lewis Tunstall & Leandro von Werra & Thomas Wolf

Natural Language Processing With Transformers: Building Language Applications With Hugging Face

Natural Language Processing With Transformers: Building Language ...

Lewis Tunstall & Leandro von Werra & Thomas Wolf

Managing Cloud Native Data on Kubernetes: Architecting Cloud Native Data Services Using Open Source Technology

Managing Cloud Native Data on Kubernetes: Architecting Cloud ...

Jeff Carpenter & Patrick McFadin

Machine Learning in Production: Master the Art of Delivering Robust Machine Learning Solutions With MLOps (English Edition)

Machine Learning in Production: Master the Art of Delivering ...

Machine Learning for Financial Risk Management With Python: Algorithms for Modeling Risk

Machine Learning for Financial Risk Management With Python: ...

Abdullah Karasan

Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices

Machine Learning for Edge Computing: Frameworks, Patterns and ...

Amitoj Singh & Vinay Kukreja & Taghi Javdani Gandomani

Machine Learning for Cloud Management

Machine Learning for Cloud Management

Jitendra Kumar & Ashutosh Kumar Singh & Anand Mohan & Rajkumar Buyya

Machine Learning Engineering in Action

Machine Learning Engineering in Action

Machine Learning

Machine Learning

Tom M. Mitchell

Learn Autonomous Programming With Python: Utilize Python’s Capabilities in Artificial Intelligence, Machine Learning, Deep Learning and Robotic Process Automation

Learn Autonomous Programming With Python: Utilize Python’s Capabilities ...

Varun P Divadkar

Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep Learning, and AI

Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep ...

Sam Charrington

Introducing MLOps: How to Scale Machine Learning in the Enterprise

Introducing MLOps: How to Scale Machine Learning in the Enterprise

Clement Stenac & Leo Dreyfus-Schmidt & Kenji Lefevre & Nicolas Omont & Mark Treveil