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Tag: machine learning with python

  • 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.”

  • 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

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    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.

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    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.

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    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.

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    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

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    – Website: https://www.simplilearn.com

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

  • Machine Learning – Supervised VS Unsupervised Learning

    Machine Learning – Supervised VS Unsupervised Learning

    Enroll in the course for free at: https://bigdatauniversity.com/courses/machine-learning-with-python/

    Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends.

    This free Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.

    This Machine Learning with Python course dives into the basics of machine learning using an approachable, and well-known, programming language. You’ll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each.

    Look at real-life examples of Machine learning and how it affects society in ways you may not have guessed!

    Explore many algorithms and models:

    Popular algorithms: Classification, Regression, Clustering, and Dimensional Reduction.

    Popular models: Train/Test Split, Root Mean Squared Error, and Random Forests.

    Get ready to do more learning than your machine!

    Connect with Big Data University:
    https://www.facebook.com/bigdatauniversity
    https://twitter.com/bigdatau
    https://www.linkedin.com/groups/4060416/profile

    ABOUT THIS COURSE
    •This course is free.
    •It is self-paced.
    •It can be taken at any time.
    •It can be audited as many times as you wish.

    https://bigdatauniversity.com/courses/machine-learning-with-python/