| Brief | Book | |
|---|---|---|
| This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.
I have several machine learning books, and most of them are more in depth, but lacking a broader overview of machine learning. So if you want an overview of different problem solving techniques, this is the book for you. It has enough theory to keep most people happy. If you want to know the core motivational aspect to the finest details, this book will be lacking in some areas. Other books may have more detail, but just know they won't cover as much of the overall subject. This is always my go to book for trying to remember something. It's small, light, and enough to get me back on track. I have other books for more in depth reading, but they don't cover as much of the subject of machine learning as this one. |
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Tuesday, August 11, 2020
Machine Learning...Computer Science Series
Monday, August 10, 2020
Lean AI...How Innovative Startups Use Artificial Intelligence
| Brief | Book | |
|---|---|---|
| How can startups successfully scale customer acquisition and revenue growth with a Lean team? Out-of-the-box acquisition solutions from Facebook, Google, and others provide a good start, but the companies that can tailor those solutions to meet their specific needs, objectives, and goals will come out winners. But that hasn’t been an easy task—until now. With this practical book, the author shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company. |
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Implications of Artificial Intelligence for Cybersecurity...
| Brief | Book | |
|---|---|---|
| In recent years, interest and progress in the area of artificial intelligence (AI) and machine learning (ML) have boomed, with new applications vigorously pursued across many sectors. At the same time, the computing and communications technologies on which we have come to rely present serious security concerns: cyberattacks have escalated in number, frequency, and impact, drawing increased attention to the vulnerabilities of cyber systems and the need to increase their security. In the face of this changing landscape, there is significant concern and interest among policymakers, security practitioners, technologists, researchers, and the public about the potential implications of AI and ML for cybersecurity. |
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Artificial Intelligence And LegalTech Essentials...
| Brief | Book | |
|---|---|---|
| A vital book by industry thought leader and global AI expert, Dr. Lance Eliot, and based on his popular AI Insider series and podcasts, this fascinating book provides pioneering advances for the field of AI and law. Included too are keen insights about the practical application of Artificial Intelligence (AI) and Machines Learning (ML) in LegalTech and LawTech. |
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Artificial Intelligence and Machine Learning for Digital Pathology...
| Brief | Book | |
|---|---|---|
| Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology, and dermatology is very promising. In specific cases, for example, Deep Learning (DL), even exceeding human performance. However, in the context of medicine it is important for a human expert to verify the outcome. Consequently, there is a need for transparency and re-traceability of state-of-the-art solutions to make them usable for ethical responsible medical decision support. Moreover, big data is required for training, covering a wide spectrum of a variety of human diseases in different organ systems. These data sets must meet top-quality and regulatory criteria and must be well annotated for ML at patient-, sample-, and image-level. Here biobanks play a central and future role in providing large collections of high-quality, well-annotated samples and data. The main challenges are finding biobanks containing ‘‘fit-for-purpose’’ samples, providing quality related meta-data, gaining access to standardized medical data and annotations, and mass scanning of whole slides including efficient data management solutions. |
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Artificial Intelligence...A Modern Approach
| Brief | Book | |
|---|---|---|
| The long-anticipated revision of Artificial Intelligence: A Modern Approach explores the full breadth and depth of the field of artificial intelligence (AI). The 3rd Edition brings readers on the technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multiagent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI. |
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The Human Cloud...How Today's Changemakers Use Artificial Intelligence
| Brief | Book | |
|---|---|---|
By replacing fear with knowledge, you will better understand how this shift in employment is a good thing, be equipped to embrace the positive advantages new technology brings and use it all to your benefit, and further secure how your own job is shaped so you are never left behind.
Topics unpacked in The Human Cloud include:
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