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Caffe2 Quick Start Guide : Modular and scalable deep learning made easy

Applied Unsupervised Learning with R : Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA

Hands-on reinforcement learning for games : implementing self-learning agents in games using artificial intelligence techniques

The machine learning workshop : get ready to develop your own high-performance machine learning algorithms with scikit-learn

3D deep learning with Python : design and develop your computer vision model with 3D data using PyTorch3D and more

Practical data analysis using Jupyter notebook : learn how to speak the language of data by extracting useful and actionable insights using Python

Hands-On Machine Learning with Microsoft Excel 2019 : Build complete data analysis flows, from data collection to visualization

Hands-On Data Science for Marketing : Improve your marketing strategies with machine learning using Python and R

Neural Networks with Keras Cookbook : Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots

ChatGPT for cybersecurity cookbook : learn practical generative AI recipes to supercharge your cyber skills

Python Reinforcement Learning : Solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow

Keras Deep Learning Cookbook : Over 30 recipes for implementing deep neural networks in Python

Become an AI product manager : develop a product that takes advantage of machine learning to solve AI problems

Neuro-Symbolic AI : Design transparent and trustworthy systems that understand the world as you do

Deep learning and XAI techniques for anomaly detection : integrating theory and practice of explainable deep learning anomaly detection

Generative AI with Python and TensorFlow 2 : Create images, text, and music with VAEs, GANs, LSTMs, Transformer models

Hands-on explainable AI (XAI) with Python : interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps

The applied AI and natural language processing workshop : learn how to use powerful natural language processing techniques within your own artificial intelligence applications

The The Supervised Learning Workshop : A New, Interactive Approach to Understanding Supervised Learning Algorithms, 2nd Edition

UiPath Associate certification guide : the go-to guide to acing your associate certification exam with the help of mock tests and quizzes

Reproducible data science with Pachyderm : build version-controlled end-to-end data pipelines that power your machine learning lifecycle

Building AI applications with ChatGPT API : master ChatGPT, Whisper and DALL-E APIs by building nine innovative AI projects

Generative AI for cloud solutions : architect modern AI LLMs in secure, scalable, and ethical cloud environments

Architects of intelligence : the truth about AI from the people building it

Responsible AI in the enterprise : practical AI risk management for explainable, auditable, and safe models with hyperscalers and Azure OpenAI

Vector Search for Practitioners with Elastic : A toolkit for building NLP solutions for search, observability, and security using vector search

OpenAI API Cookbook : Build intelligent applications including chatbots, virtual assistants, and content generators

Machine Learning Security with Azure : Best practices for assessing, securing, and monitoring Azure Machine Learning workloads

Data Labeling in Machine Learning with Python : Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models

The Handbook of NLP with Gensim : Leverage topic modeling to uncover hidden patterns, themes, and valuable insights within textual data

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