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

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

    Don’t forget to take the quiz at 04:10!
    Comment below what you think is the right answer, to be one of the 3 lucky winners who can win Amazon vouchers worth INR 500 or $10 (depending on your location). What are you waiting for? Winners will be announced on May 09, 2019.

    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

    For more updates on courses and tips follow us on:
    – Facebook: https://www.facebook.com/Simplilearn
    – Twitter: https://twitter.com/simplilearn
    – LinkedIn: https://www.linkedin.com/company/simplilearn
    – Website: https://www.simplilearn.com

    Get the Android app: http://bit.ly/1WlVo4u
    Get the iOS app: http://apple.co/1HIO5J0

  • Machine Learning Basics | What Is Machine Learning? | Introduction To Machine Learning | Simplilearn

    Machine Learning Basics | What Is Machine Learning? | Introduction To Machine Learning | Simplilearn

    This Machine Learning basics video will help you understand what is Machine Learning, what are the types of Machine Learning – supervised, unsupervised & reinforcement learning, how Machine Learning works with simple examples, and will also explain how Machine Learning is being used in various industries. Machine learning is a core sub-area of artificial intelligence; it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. So, put simply, the iterative aspect of machine learning is the ability to adapt to new data independently. This is possible as programs learn from previous computations and use “pattern recognition” to produce reliable results. Machine learning is starting to reshape how we live, and it’s time we understood what it is and why it matters. Now, let us deep dive into this short video and understand the basics of Machine Learning.

    Below topics are explained in this Machine Learning basics video:
    1. What is Machine Learning? ( 00:21 )
    2. Types of Machine Learning ( 02:43 )
    2. What is Supervised Learning? ( 02:53 )
    3. What is Unsupervised Learning? ( 03:46 )
    4. What is Reinforcement Learning? ( 04:37 )
    5. Machine Learning applications ( 06:25 )

    Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

    Download the Machine Learning Career Guide to explore and step into the exciting world of Machine Learning, and follow the path towards your dream career- https://www.simplilearn.com/machine-learning-career-guide-pdf?utm_campaign=Machine-Learning-Basics-ukzFI9rgwfU&utm_medium=Tutorials&utm_source=youtube

    Watch more videos on Machine Learning: https://www.youtube.com/watch?v=7JhjINPwfYQ&list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy

    #MachineLearning #MachineLearningAlgorithms #DataScience #SimplilearnMachineLearning #MachineLearningCourse

    About Simplilearn Machine Learning course:
    A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars. This Machine Learning course prepares engineers, data scientists and other professionals with the knowledge and hands-on skills required for certification and job competency in Machine Learning.

    Why learn Machine Learning?
    Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
    The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.

    What skills will you learn from this Machine Learning course?

    By the end of this Machine Learning course, you will be able to:

    1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
    2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
    3. Acquire a thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
    4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
    5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems

    We recommend this Machine Learning training course for the following professionals in particular:
    1. Developers aspiring to be a data scientist or Machine Learning engineer
    2. Information architects who want to gain expertise in Machine Learning algorithms
    3. Analytics professionals who want to work in Machine Learning or artificial intelligence
    4. Graduates looking to build a career in data science and Machine Learning

    Learn more at: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Machine-Learning-Basics-ukzFI9rgwfU&utm_medium=Tutorials&utm_source=youtube

    For more updates on courses and tips follow us on:
    – Facebook: https://www.facebook.com/Simplilearn
    – Twitter: https://twitter.com/simplilearn
    – LinkedIn: https://www.linkedin.com/company/simplilearn
    – Website: https://www.simplilearn.com

    Get the Android app: http://bit.ly/1WlVo4u
    Get the iOS app: http://apple.co/1HIO5J0

  • Supervised and Unsupervised Learning In Machine Learning | Machine Learning Tutorial | Simplilearn

    Supervised and Unsupervised Learning In Machine Learning | Machine Learning Tutorial | Simplilearn

    This video on “Supervised and Unsupervised Learning” will help you understand what is machine learning, what are the types of Machine learning, what is supervised machine learning, types of supervised machine learning, what is unsupervised learning, types of unsupervised learning and what are the differences between supervised and unsupervised machine learning. In supervised learning, the model learns from a labeled data whereas in unsupervised learning, model trains itself on unlabelled data. Now, let us get started and understand supervised and unsupervised learning and how they are different from each other.

    Below are the topics explained in this supervised and unsupervised learning in Machine Learning Tutorial-
    1. What is Machine Learning
    – Types of Machine Learning
    – Supervised Learning
    – Unsupervised Learning
    2. Supervised Learning
    – Types of Supervised Learning
    3. Unsupervised Learning
    – Types of Unsupervised Learning

    Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

    Download the Machine Learning Career Guide to explore and step into the exciting world of Machine Learning, and follow the path towards your dream career- https://www.simplilearn.com/machine-learning-career-guide-pdf?utm_campaign=Supervised-and-Unsupervised-Learning-kE5QZ8G_78c&utm_medium=Tutorials&utm_source=youtube

    You can also go through the Slides here: https://goo.gl/Co9mf1

    Watch more videos on Machine Learning: https://www.youtube.com/watch?v=7JhjINPwfYQ&list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy

    #MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse

    About Simplilearn Machine Learning course:
    A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with the knowledge and hands-on skills required for certification and job competency in Machine Learning.

    Why learn Machine Learning?
    Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
    The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.

    What skills will you learn from this Machine Learning course?

    By the end of this Machine Learning course, you will be able to:

    1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
    2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
    3. Acquire a thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
    4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
    5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems

    We recommend this Machine Learning training course for the following professionals in particular:
    1. Developers aspiring to be a data scientist or Machine Learning engineer
    2. Information architects who want to gain expertise in Machine Learning algorithms
    3. Analytics professionals who want to work in Machine Learning or artificial intelligence
    4. Graduates looking to build a career in data science and Machine Learning

    Learn more at: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Supervised-and-Unsupervised-Learning-kE5QZ8G_78c&utm_medium=Tutorials&utm_source=youtube

    For more updates on courses and tips follow us on:
    – Facebook: https://www.facebook.com/Simplilearn
    – Twitter: https://twitter.com/simplilearn
    – LinkedIn: https://www.linkedin.com/company/simplilearn
    – Website: https://www.simplilearn.com

    Get the Android app: http://bit.ly/1WlVo4u
    Get the iOS app: http://apple.co/1HIO5J0

  • Random Forest Algorithm – Random Forest Explained | Random Forest in Machine Learning | Simplilearn

    Random Forest Algorithm – Random Forest Explained | Random Forest in Machine Learning | Simplilearn

    This Random Forest Algorithm tutorial will explain how Random Forest algorithm works in Machine Learning. By the end of this video, you will be able to understand what is Machine Learning, what is Classification problem, applications of Random Forest, why we need Random Forest, how it works with simple examples and how to implement Random Forest algorithm in Python.

    Below are the topics covered in this Machine Learning tutorial:

    1. What is Machine Learning?
    2. Applications of Random Forest
    3. What is Classification?
    4. Why Random Forest?
    5. Random Forest and Decision Tree
    6. Use case – Iris Flower Analysis

    Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

    You can also go through the Slides here: https://goo.gl/K8T4tW

    Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=Random-Forest-Tutorial-eM4uJ6XGnSM&utm_medium=Tutorials&utm_source=youtube

    To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Random-Forest-Tutorial-eM4uJ6XGnSM&utm_medium=Tutorials&utm_source=youtube

    #MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse

    – – – – – – – –

    About Simplilearn Machine Learning course:

    A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.

    – – – – – – –

    Why learn Machine Learning?

    Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
    The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.

    – – – – – –

    What skills will you learn from this Machine Learning course?

    By the end of this Machine Learning course, you will be able to:

    1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
    2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
    3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
    4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
    5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems

    – – – – – – –

    Who should take this Machine Learning Training Course?

    We recommend this Machine Learning training course for the following professionals in particular:

    1. Developers aspiring to be a data scientist or Machine Learning engineer
    2. Information architects who want to gain expertise in Machine Learning algorithms
    3. Analytics professionals who want to work in Machine Learning or artificial intelligence
    4. Graduates looking to build a career in data science and Machine Learning

    – – – – – –

    For more updates on courses and tips follow us on:
    – Facebook: https://www.facebook.com/Simplilearn
    – Twitter: https://twitter.com/simplilearn
    – LinkedIn: https://www.linkedin.com/company/simplilearn
    – Website: https://www.simplilearn.com

    Get the Android app: http://bit.ly/1WlVo4u
    Get the iOS app: http://apple.co/1HIO5J0

  • Machine Learning Tutorial | Machine Learning Basics | Machine Learning Algorithms | Simplilearn

    Machine Learning Tutorial | Machine Learning Basics | Machine Learning Algorithms | Simplilearn

    This Machine Learning tutorial video is ideal for beginners to learn Machine Learning from scratch. By the end of this tutorial video, you will learn why Machine Learning is so important in our lives, what is Machine Learning, the various types of Machine Learning (Supervised, Unsupervised and Reinforcement learning), how do we choose the right Machine Learning solution, what are the different Machine Learning algorithms and how do they work (with simple examples and use-cases) and finally implement a Machine Learning project/ hands-on demo on Linear Regression Algorithm using Python.

    This Machine Learning tutorial will cover the following topics:

    1. Life without Machine Learning ( 01:06 )
    2. Life with Machine Learning ( 02:29 )
    3. What is Machine Learning ( 04:35 )
    4. Machine Learning Process ( 05:27 )
    5. Types of Machine Learning ( 06:14 )
    6. Supervised Vs Unsupervised ( 09:32 )
    7. The right Machine Learning solutions ( 10:35 )
    8. Machine Learning Algorithms ( 13:33 )
    9. Use case – Predicting the price of a house using Linear Regression ( 23:24 )

    What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.

    Subscribe to our channel for more Machine Learning tutorial videos: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

    Download the Machine Learning Career Guide to explore and step into the exciting world of Machine Learning, and follow the path towards your dream career- https://www.simplilearn.com/machine-learning-career-guide-pdf?utm_campaign=Machine-Learning-Tutorial-G7fPB4OHkys&utm_medium=Tutorials&utm_source=youtube

    You can also go through the Slides here: https://goo.gl/aNmKbQ

    Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=Machine-Learning-Tutorial-G7fPB4OHkys&utm_medium=Tutorials&utm_source=youtube

    We’ve partnered with Purdue University and collaborated with IBM to offer you the unique Post Graduate Program in AI and Machine Learning. Learn more about it here – https://www.simplilearn.com/ai-and-machine-learning-post-graduate-certificate-program-purdue?utm_campaign=Machine-Learning-Tutorial-G7fPB4OHkys&utm_medium=Tutorials&utm_source=youtube

    To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Machine-Learning-Tutorial-G7fPB4OHkys&utm_medium=Tutorials&utm_source=youtube

    #MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse

    – – – – – – – –

    About Simplilearn Machine Learning course:

    A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.

    – – – – – – –

    Why learn Machine Learning?
    Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
    The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.

    – – – – – –

    What skills will you learn from this Machine Learning course?

    By the end of this Machine Learning course, you will be able to:
    1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
    2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
    3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.

    – – – – – – –

    Who should take this Machine Learning Training Course?

    We recommend this Machine Learning training course for the following professionals in particular:
    1. Developers aspiring to be a data scientist or Machine Learning engineer
    2. Information architects who want to gain expertise in Machine Learning algorithms
    3. Analytics professionals who want to work in Machine Learning or artificial intelligence
    4. Graduates looking to build a career in data science and Machine Learning

    – – – – – –

    For more updates on courses and tips follow us on:
    – Facebook: https://www.facebook.com/Simplilearn
    – Twitter: https://twitter.com/simplilearn
    – LinkedIn: https://www.linkedin.com/company/simplilearn
    – Website: https://www.simplilearn.com

    Get the Android app: http://bit.ly/1WlVo4u
    Get the iOS app: http://apple.co/1HIO5J0