Tag: what is artificial intelligence

  • Artificial Intelligence In 5 Minutes | What Is Artificial Intelligence? | AI Explained | Simplilearn

    Artificial Intelligence In 5 Minutes | What Is Artificial Intelligence? | AI Explained | Simplilearn

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    This video on Artificial Intelligence introduces you to Artificial intelligence with a fun and simple approach. We will talk about what is artificial intelligence, how it’s different from machine learning and deep learning, its features, types, and scope. We also look at some interesting applications of Artificial Intelligence.

    By the end of this video, you will understand:
    1. What is Artificial Intelligence?
    2. Difference between Artificial intelligence, Machine Learning and Deep Learning
    3. Examples of Artificial Intelligence
    4. Future of Artificial Intelligence

    To learn more about Artificial Intelligence, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

    Watch more videos on Artificial Intelligence: https://www.youtube.com/playlist?list=PLEiEAq2VkUULg2pAmFCfrpSXPHmNP6Map

    Download the Artificial Intelligence Career Guide and take a sneak peek into the world that awaits you: https://www.simplilearn.com/artificial-intelligence-career-guide-pdf?utm_campaign=Artificial-Intelligence-In-5-Minutes-ad79nYk2keg&utm_medium=Tutorials&utm_source=youtube

    #AritificialIntelligence #AritificialIntelligenceCourse #WhatIsAi #WhatIsArtificialIntelligence #AiIn5Minutes #AITutorial #AITutorialForBeginners #AI #Simplilearn

    About Simplilearn Artificial Intelligence course:
    Simplilearns’ Introduction to Artificial Intelligence course is designed to help learners decode the mystery of artificial intelligence and its business applications. The course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics. You’ll learn the difference between supervised, unsupervised and reinforcement learning; be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.

    What are the career benefits of this Introduction to AI course?
    Artificial intelligence has become a powerful driving force in a wide range of industries, helping people and businesses create exciting, innovative products and services, enable more informed business decisions, and achieve key performance goals. The median salary of an AI engineer in the US is $171,715(Source: Datamation). By 2022, the AI market will grow at a CAGR of 53.25 per cent, and an estimated. 2.3 million jobs will be created in the AI field by 2020 (Source: Gartner).

    What are the course objectives?
    The Introduction to Artificial Intelligence course will give you a look at the booming field of AI and show you how AI can help drive business value. The course covers basic concepts, terminologies, scope and stages of artificial intelligence and their effect on real-world business processes. By the end of the course, you will be able to clearly define various supervised and unsupervised AI algorithms, apply machine learning workflow to solve business problems and measure ROI based on performance metrics.

    What skills will you learn from this Introduction to Artificial Intelligence course?
    Upon completion of this course, you will understand:
    1. The meaning, purpose, scope, stages, applications and effects of AI
    2. Fundamental concepts of machine learning and deep learning
    3. The difference between supervised, semi-supervised and unsupervised learning

    Who should take this Introduction to Artificial Intelligence course?
    Simplilearn’s Introduction to Artificial Intelligence imparts the basic concepts and principles of Artificial Intelligence to learners. The course caters to CxO level and middle management professionals who want to improve their ability to derive business value and ROI from AI and machine learning. This Artificial Intelligence Introduction course does not require programming or IT background, making it well-suited for the following audience:
    1. Developers aspiring to be an artificial intelligence engineer or machine learning engineer
    2. Analytics managers who are leading a team of analysts
    3. Information architects who want to gain expertise in AI algorithms
    4. Analytics professionals who want to work in machine learning or artificial intelligence
    5. Graduates looking to build a career in artificial intelligence or machine learning

    Learn more at: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=Artificial-Intelligence-In-5-Minutes-ad79nYk2keg&utm_medium=Tutorials&utm_source=youtube

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  • AI vs Machine Learning vs Deep Learning | Machine Learning Training with Python | Edureka

    AI vs Machine Learning vs Deep Learning | Machine Learning Training with Python | Edureka

    🔥 NIT Warangal Post Graduate Program on AI and Machine Learning: https://www.edureka.co/nitw-ai-ml-pgp
    This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: https://goo.gl/fe7ykh ) on “AI vs Machine Learning vs Deep Learning” talks about the differences and relationship between AL, Machine Learning and Deep Learning. Below are the topics covered in this tutorial:

    1. AI vs Machine Learning vs Deep Learning
    2. What is Artificial Intelligence?
    3. Example of Artificial Intelligence
    4. What is Machine Learning?
    5. Example of Machine Learning
    6. What is Deep Learning?
    7. Example of Deep Learning
    8. Machine Learning vs Deep Learning

    Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm

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    #edureka #AIvsMLvsDL #PythonTutorial #PythonMachineLearning #PythonTraining

    How it Works?
    1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
    2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
    3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

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    About the Course

    Edureka’s Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

    1. Master the Basic and Advanced Concepts of Python
    2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
    3. Master the Concepts of Sequences and File operations
    4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
    5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
    6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
    7. Master the concepts of MapReduce in Hadoop
    8. Learn to write Complex MapReduce programs
    9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
    10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
    11. Master the concepts of Web scraping in Python
    12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
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    Why learn Python?

    Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
    Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
    Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next “Big Thing” and a must for Professionals in the Data Analytics domain.

    For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

    Customer Review

    Sairaam Varadarajan, Data Evangelist at Medtronic, Tempe, Arizona: “I took Big Data and Hadoop / Python course and I am planning to take Apache Mahout thus becoming the “customer of Edureka!”. Instructors are knowledge… able and interactive in teaching. The sessions are well structured with a proper content in helping us to dive into Big Data / Python. Most of the online courses are free, edureka charges a minimal amount. Its acceptable for their hard-work in tailoring – All new advanced courses and its specific usage in industry. I am confident that, no other website which have tailored the courses like Edureka. It will help for an immediate take-off in Data Science and Hadoop working.”