Addison Wesley Professional Pragmatic AI and Machine Learning Core Principles

Addison Wesley Professional Pragmatic AI and Machine Learning Core Principles-XCODE
English | Size: 7.54 GB
Category: Tutorial

4+ Hours of Video Instruction
Machine Learning is the scientific study of models and algorithms that train a computer to make predictions without explicit instruction. Machine Learning is a subset of Artificial Intelligence, which can be defined as computers that mimic human problem-solving. This video demonstrates the core principles of Machine Learning and AI, including supervised Machine Learning, unsupervised Machine Learning, neural networks, and social network theory.

Learn to master the foundational concepts of AI and Machine Learning. The LiveLessons video starts with an overview of Artificial Intelligence and covers applications of AI across industries and opportunities in AI for individuals, organizations, and ecosystems. It also covers the difference between narrow, general, and super AI.

Description

Shore up the foundational knowledge necessary to work with Artificial Intelligence and Machine Learning! This LiveLesson video covers the core principles of Artificial Intelligence and Machine Learning, including how to frame a problem in terms of Machine Learning and how Machine Learning is different than statistics. Learn about fundamental concepts including nearest neighbors, decision trees, and neural networks. The video wraps up covering timely machine learning topics such as cluster analysis, dimensionality reduction, and social networks.

Skill Level

Beginning to Intermediate

What You Will Learn

Learn key concepts in Machine Language, AI, and cloud computing and how these technologies can be used in business assessment and growth
Meet the future head on with core coverage of AI, ML, and data science essentials
Distinguish between narrow, general, and super AI
Frame ML problems
Reason about Gradient Descent
Use neural networks
Understand social network theory

Who Should Take This Course

Roles:

Data scientist (current or aspiring)
ML engineer who wants a stronger conceptual foundation
Business exec who needs to understand AI and ML concepts
Student who needs additional resources in a data-related course

Course Requirements

Prerequisites:

Basic understanding of high-school math and linear algebra

About Pearson Video Training

Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more.

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