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Introduction to Probability for Computing

Posted By: readerXXI
Introduction to Probability for Computing

Introduction to Probability for Computing
by Mor Harchol-Balter
English | 2023 | ISBN: 1009309072 | 571 Pages | PDF | 12 MB

Implementing MLOps in the Enterprise: A Production-First Approach

Posted By: First1
Implementing MLOps in the Enterprise: A Production-First Approach

Implementing MLOps in the Enterprise: A Production-First Approach by Yaron Haviv, Noah Gift
English | January 9th, 2024 | ISBN: 1098136586 | 380 pages | True PDF | 29.34 MB

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production.

Machine Learning Interviews: Kickstart Your Machine Learning and Data Career

Posted By: First1
Machine Learning Interviews: Kickstart Your Machine Learning and Data Career

Machine Learning Interviews: Kickstart Your Machine Learning and Data Career by Susan Shu Chang
English | January 9th, 2024 | ISBN: 1098146549 | 307 pages | True EPUB | 10.77 MB

As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process.

Implementing MLOps in the Enterprise: A Production-First Approach

Posted By: First1
Implementing MLOps in the Enterprise: A Production-First Approach

Implementing MLOps in the Enterprise: A Production-First Approach by Yaron Haviv, Noah Gift
English | January 9th, 2024 | ISBN: 1098136586 | 377 pages | True EPUB | 15.52 MB

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production.

Training Data for Machine Learning: Human Supervision from Annotation to Data Science

Posted By: First1
Training Data for Machine Learning: Human Supervision from Annotation to Data Science

Training Data for Machine Learning: Human Supervision from Annotation to Data Science by Anthony Sarkis
English | December 19th, 2023 | ISBN: 1492094528 | 329 pages | True EPUB (Retail Copy) | 13.16 MB

Your training data has as much to do with the success of your data project as the algorithms themselves because most failures in AI systems relate to training data. But while training data is the foundation for successful AI and machine learning, there are few comprehensive resources to help you ace the process.

Designing Autonomous AI: A Guide for Machine Teaching

Posted By: First1
Designing Autonomous AI: A Guide for Machine Teaching

Designing Autonomous AI by Kence Anderson
English | July 19th, 2022 | ISBN: 1098110757 | 245 pages | True EPUB (Retail Copy) | 10.77 MB

Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world.

Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python

Posted By: First1
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python

Probabilistic Machine Learning for Finance and Investing by Deepak K. Kanungo
English | September 26th, 2023 | ISBN: 1492097675 | 264 pages | True PDF | 19.75 MB

There are several reasons why probabilistic machine learning represents the next-generation ML framework and technology for finance and investing. This generative ensemble learns continually from small and noisy financial datasets while seamlessly enabling probabilistic inference, retrodiction, prediction, and counterfactual reasoning. Probabilistic ML also lets you systematically encode personal, empirical, and institutional knowledge into ML models.

Low-Code AI: A Practical Project-Driven Introduction to Machine Learning

Posted By: First1
Low-Code AI: A Practical Project-Driven Introduction to Machine Learning

Low-Code AI: A Practical Project-Driven Introduction to Machine Learning by Gwendolyn Stripling, Michael Abel
English | October 17th, 2023 | ISBN: 1098146824 | 325 pages | True EPUB (Retail Copy) | 14.94 MB

Take a data-first and use-case–driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.

Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python

Posted By: First1
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python

Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python by Deepak K. Kanungo
English | September 26th, 2023 | ISBN: 1492097675 | 250 pages | True EPUB | 17.40 MB

Whether based on academic theories or discovered empirically by humans and machines, all financial models are at the mercy of modeling errors that can be mitigated but not eliminated. Probabilistic ML technologies are based on a simple and intuitive definition of probability and the rigorous calculus of probability theory.

Unsupervised: Navigating and Influencing a World Controlled by Powerful New Technologies

Posted By: First1
Unsupervised: Navigating and Influencing a World Controlled by Powerful New Technologies

Unsupervised: Navigating and Influencing a World Controlled by Powerful New Technologies by Daniel Doll-Steinberg, Stuart Leaf
English | September 13th, 2023 | ISBN: 1394209908 | 400 pages | True EPUB | 0.58 MB

How a broad range of new immensely powerful technologies is disrupting and transforming every corner of our reality—and why you must act and adapt

AI for Finance (AI for Everything)

Posted By: First1
AI for Finance (AI for Everything)

AI for Finance (AI for Everything) by Edward P. K. Tsang
English | June 2nd, 2023 | ISBN: 1032384433, 1032391200 | 256 pages | True EPUB | 2.12 MB

Finance students and practitioners may ask: can machines learn everything? Could AI help me? Computing students or practitioners may ask: which of my skills could contribute to finance? Where in finance should I pay attention? This book aims to answer these questions. No prior knowledge is expected in AI or finance.

«Deep Learning and Artificial Intelligence» by John Slavio

Posted By: Gelsomino
«Deep Learning and Artificial Intelligence» by John Slavio

«Deep Learning and Artificial Intelligence» by John Slavio
English | EPUB | 1.0 MB

«Python Machine Learning Illustrated Guide For Beginners & Intermediates» by William Sullivan

Posted By: Gelsomino
«Python Machine Learning Illustrated Guide For Beginners & Intermediates» by William Sullivan

«Python Machine Learning Illustrated Guide For Beginners & Intermediates» by William Sullivan
English | EPUB | 1.0 MB

Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What To Do About Them

Posted By: First1
Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What To Do About Them

Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What To Do About Them by Ram Shankar Siva Kumar, Hyrum Anderson
English | May 2nd, 2023 | ISBN: 1119883989 | 224 pages | True EPUB | 12.16 MB

A robust and engaging account of the single greatest threat faced by AI and ML systems

Cognitive Robotics

Posted By: readerXXI
Cognitive Robotics

Cognitive Robotics
by Angelo Cangelosi and Minoru Asada
English | 2022 | ISBN: 0262046830 | 496 Pages | True ePUB | 70 MB