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Analytical Skills for AI and Data Science Building Skills for an AIdriven Enterprise

While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast;

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Smarter Data Science Succeeding with

science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI;

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Managing AI in the Enterprise

Delivering AI projects and building an AI organization are two big challenges for enterprises. They determine whether companies succeed or;

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Enterprise Artificial Intelligence Transformation

expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for over 10 years. He;

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Cognitive Skills You Need for the 21st Century

changes. Part Five on Artificial Intelligence contains chapters on the Data Sciences, Explanatory Models, the Information Sciences, and General AI;

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An Introduction to Research, Analysis, and Writing: Practical Skills for Social Science Students

, methods, gathering data, presenting evidence, and writing, this book clearly helps students through each stage of doing a research project.;

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Devloping Bioinformatics Computer Skills

data. The book covers the Unix file system, building tools and databases for bioinformatics, computational approaches to biological problems;

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Krunic:Succeeding with AI_p1

. In Managing Successful AI Projects, author and AI consultant Veljko Krunic reveals secrets for succeeding in AI that he developed with Fortune 500;

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Applied Analytics through Case Studies Using SAS and R

problems by sharpening your analytical skills. What You'll Learn Understand analytics and basic data concepts Use an analytical approach;

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Advances in Artificial Intelligence, Computation, and Data Science

time and memory requirements-for machine learning in large datasets. Meanwhile, data science is an evolving scientific discipline that strives;

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Enterprise Data at Huawei

governance, as well as the imaginations about AI-based governance, data sovereignty, and building a data ecosystem.;

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Practical Skills in Sport and Exercise Science

entire degree programme. This 'one-stop' text will guide you through the wide range of practical, analytical and data handling skills that you;

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Practical Skills in Food Science, Nutrition and Dietetics

throughout your entire degree programme. This 'one-stop' text will guide you through the wide range of practical, analytical and data handling skills;

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Practical Skills in Forensic Science

companion throughout your entire degree programme. This 'one-stop' text will guide you through the wide range of practical, analytical and data;

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Building an Effective Data Science Practice

, data science techniques and their applications - and gradually build up to building a professional reference operating model for a data science;

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Practical Skills in Environmental Science

provides students with easy-to-read guidance for fieldwork, sampling, laboratory studies, project work and computing and communication skills;

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Geographical Data Science and Spatial Data Analysis

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it;

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SQL for Data Scientists - A Beginner's Guide for Building Datasets for Analysis

Jump-start your career as a data scientist-learn to develop datasets for exploration, analysis, and machine learning SQL for Data;

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Data Science on AWS

With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on;

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Cambridge Lower Secondary Computing 7 Student's Book

This title is has been endorsed by Cambridge Assessment International Education Deliver an exciting computing course for ages 11-14;

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Applied Deep Learning

undergraduate and postgraduate students in subjects such as artificial intelligence and data science, and also for industrial practitioners engaged with;

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Make Better Decisions

An essential guide to practicing the cognitive skills needed for making better decisions in the age of data, algorithms, and AI. Data;

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Deploying AI in the Enterprise

AI and need a comprehensive overview on how AI impacts other business critical areas. It is not an introduction, but is for the reader who;

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An Introduction to Healthcare Informatics

An Introduction to Healthcare Informatics: Building Data-Driven Tools bridges the gap between the current healthcare IT landscape and;

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Artificial Intelligence for Healthcare Applications and Management

Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms;

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Industry 4.0, AI, and Data Science

overview of AI and Data Science algorithms for readers who do not have a strong mathematical background. Undergraduates, postgraduates;

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Programming Skills for Data Science

for new and aspiring data scientists to learn foundational programming skills. -From the foreword by Jared Lander, series editor;

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