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Why AI/Data Science Projects Fail
Recent data shows that 87% of Artificial Intelligence/Big Data projects don't make it into production (VB Staff, 2019), meaning that most;
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Fail Fast, Learn Faster - Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI
leadership in an Age of Disruption, Big Data, and AI In Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big;
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Smarter Data Science Succeeding with
Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast;
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AI for Data Science
Master the approaches and principles of Artificial Intelligence (AI) algorithms, and apply them to Data Science projects with Python and;
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Krunic:Succeeding with AI_p1
technology Companies small and large are initiating AI projects, investing vast sums of money on software, developers, and data scientists. Too;
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Managing AI in the Enterprise
fail in establishing AI and integrating AI into their digital transformation. This book addresses both challenges by bringing together;
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Applying Data Science
methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations;
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Applying Data Science
methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations;
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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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Math(s) Fix, The: An Education Blueprint Of The Ai Age
Why are we all taught maths for years of our lives? Does it really empower everyone? Or fail most and disenfranchise many? Is it crucial;
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Math(s) Fix, The: An Education Blueprint Of The Ai Age
Why are we all taught maths for years of our lives? Does it really empower everyone? Or fail most and disenfranchise many? Is it crucial;
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My Life is Failure
. Standish's cumulative research encompasses 20 years of data on why projects succeed or fail, representing more that 50,000 completed IT projects;
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Artificial Intelligence Design and Solution for Risk and Security
Artificial Intelligence Design and Solutions for Risk and Security targets readers to understand, learn, define problems, and architect AI;
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Practical AI for Healthcare Professionals
are engineered to cover as much as possible of AI that is relevant to medical diagnostics. Along the way, readers can expect to learn data;
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Driving Digital Transformation through Data and AI
to truly embrace the benefits of digital transformation by anchoring data and AI products at the core of their business. It provides;
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Driving Digital Transformation through Data and AI
to truly embrace the benefits of digital transformation by anchoring data and AI products at the core of their business. It provides;
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Industry 4.0, AI, and Data Science
and highlights how new systems are being developed. Along with focusing on the research trends, challenges and future of AI in Data Science;
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Ensemble Learning for AI Developers
Use ensemble learning techniques and models to improve your machine learning results. Ensemble Learning for AI Developers starts you at;
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Intro to Python for Computer Science and Data Science
and data science The Deitels' Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the;
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Enabling AI Applications in Data Science
. AI applications have achieved great accuracy and performance with the help of developments in data processing and storage. It has also gained;
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Managing Data Science
Understand data science concepts and methodologies to manage and deliver top-notch solutions for your organization Key Features Learn the;
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Winning the National Security AI Competition
will:Review axioms or enduring truths at work in six dimensions of AI: program, budget, project, data science, people, and technology Apply best;
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Emerging Technologies
The convergence of blockchain and Internet of things (IoT) powered by data and artificial intelligence (AI) is on the agenda of several big;
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The Big Miss
emotions Use customer science to future-proof your business and make the most out of Digital Transformation, Data, and AI ...and much more;
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Practical Weak Supervision
AI for weak supervision and data programming Get code examples for using Snorkel to label text and image datasets Use a weakly labeled;
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AI Crash Course
want to add AI to your skillset, this book is for you. It doesn't require data science or machine learning knowledge. Just maths basics (high;
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