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

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** 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.”

Comments

edureka! says:

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka AI & Deep Learning Course curriculum, Visit our Website: http://bit.ly/2r6pJuI Use code "YOUTUBE20" to get Flat 20% off on this training.

raj 495 says:

It's nicely presented..

anil kumar says:

Hi I don’t have any knowledge about python but I want to start my career towards python developer, can any one please tell me how to start and which is the best way and fast way, I don’t have even degree but I’m much interesting to learn, I had watched many videos but those are make me confuse .

John Macondo says:

Thanks, I have a question,
Does that mean that google autocomplete in their search depends on machine learning, as it completes depending on what I have searched before?

shabuddin md says:

thank you for the very neat and clean explanation I fan of your explanation. you are given all the answers to which I have questions thankyou again and one more thing your animation also very nice. great job

sushil shipalkar says:

I am a .net developer, I would like to know how much time it will take to learn ML?

Maninder Singh says:

can dis be please shared as pdf

Apex Mechanix says:

Putting this in laymen's terms, machine learning is the equivocal of an ANI(Artificial Narrow Intelligent Machine) handling a task whereas deep learning is the equivocal of an AGI(Artificial General Intelligent) machine. ANI has its base in machine learning and uses deep learning as a gateway to AGI. AGI has its base in deep learning. Everything after that is strictly artificial and synthetic, and no longer biological in nature(humans no longer apart of the development) as AGI will create ASI(Artificial Super Intelligence). Such an era will be known as the age of the singularity where man and machine become one.

Parshwadeep Lahane says:

great introduction !

Arun Kumar says:

Excellent introduction

Seeta Pawar says:

Very informative and presented in a crisp manner 👌

TRICKSTER says:

just the BEST

Sudheesh PP says:

whether speech recognition comes under machine or deep learning?

u n says:

Good job 👏👏👏 very nice keep it up , I hope you will upload complete course ty

HARSHA VARDHAN says:

What is data science

O.Hari kumar says:

Just two words, Excellent explanation….

TechSmithy says:

How to implement simple equations in tensor flow,
Please help!!!

the_nobody _7 says:

What about AGI

Kaki says:

I am sorry I didn't get your idea about the difference between the ML and deep learning on the hardware independence part. Can you illustrate a little bit?

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