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Data Science Projects with Python - Second Edition
Gain hands-on experience of Python programming with industry-standard machine learning techniques using pandas, scikit-learn, and XGBoostKey FeaturesThink critically about data and use it to form and test a hypothesisChoose an appropriate machine learning model and train it on your dataCommunicate d.... -
Machine Learning, Big Data, and IoT for Medical Informatics
Author Pardeep Kumar , Yugal Kumar , Mohamed A. Tawhid , Fatos Xhafa
Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics.In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field,....
Release Date 2021/06 -
Machine Learning with BigQuery ML
Manage different business scenarios with the right machine learning technique using Google's highly scalable BigQuery MLKey FeaturesGain a clear understanding of AI and machine learning services on GCP, learn when to use these, and find out how to integrate them with BigQuery MLLeverage SQL syntax .... -
The Photographer's Guide to Luminar AI
Skylum’s Luminar AI is a great solution for both professional and amateur photographers who want to quickly create stunning photos. Luminar’s advanced AI-based tools and templates eliminate hours of traditional editing tasks, whether you’re applying automatic tone and color adjustments, repl.... -
Automated Machine Learning with AutoKeras
Create better and easy-to-use deep learning models with AutoKerasKey FeaturesDesign and implement your own custom machine learning models using the features of AutoKerasLearn how to use AutoKeras for techniques such as classification, regression, and sentiment analysisGet familiar with advanced conc.... -
Machine Learning Automation with TPOT
Discover how TPOT can be used to handle automation in machine learning and explore the different types of tasks that TPOT can automateKey FeaturesUnderstand parallelism and how to achieve it in Python.Learn how to use neurons, layers, and activation functions and structure an artificial neural netwo.... -
Distributed Data Systems with Azure Databricks
Quickly build and deploy massive data pipelines and improve productivity using Azure DatabricksKey FeaturesGet to grips with the distributed training and deployment of machine learning and deep learning modelsLearn how ETLs are integrated with Azure Data Factory and Delta LakeExplore deep learning a.... -
Author Stephanie K. Ashenden
The Era of Artificial Intelligence, Machine Learning and Data Science in the Pharmaceutical Industry examines the drug discovery process, assessing how new technologies have improved effectiveness. Artificial intelligence and machine learning are considered the future for a wide range of discip....
Release Date 2021/04 -
AI Adoption in the Enterprise 2021
There's no question: more people are using AI than ever before, and companies across industries are striving to get AI projects up and running. But how many have actually put revenue-bearing products into production? And how does your own organization measure up? In this new report, Mike Loukides, .... -
Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch
Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-.... -
Deep Reinforcement Learning with Python: With PyTorch, TensorFlow and OpenAI Gym
Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding exercise.You'll begi.... -
Generative AI with Python and TensorFlow 2
Implement classical and deep learning generative models through practical examplesKey FeaturesExplore creative and human-like capabilities of AI and generate impressive resultsUse the latest research to expand your knowledge beyond this bookExperiment with practical TensorFlow 2.x implementations of.... -
Automated Machine Learning with Microsoft Azure
A practical, step-by-step guide to using Microsoft's AutoML technology on the Azure Machine Learning service for developers and data scientists working with the Python programming languageKey FeaturesCreate, deploy, productionalize, and scale automated machine learning solutions on Microsoft AzureI.... -
Author Chenguang Zhu
Machine reading comprehension (MRC) is a cutting-edge technology in natural language processing (NLP). MRC has recently advanced significantly, surpassing human parity in several public datasets. It has also been widely deployed by industry in search engine and quality assurance systems. Machine Rea....
Release Date 2021/03