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Quality Score

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Overall Score : 76 / 100

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Course Description

Interested in the field of Machine Learning? Then this course is for you! As,
  • AI and machine learning have the potential to create an additional $2.6T in value by 2021 in Marketing and Sales, and up to $2T in manufacturing and supply chain planning.
  • Gartner predicts the business value created by AI will reach $3.9T in 2022.
  • IDC predicts worldwide spending on cognitive and Artificial Intelligence systems will reach $77.6B in 2022.
  • 23% of North American enterprises have machine learning embedded in at least one company function as of last year.19% of enterprises in developing markets including China and 21% in Europe also have successfully integrated machine learning into functions. The graph below shows the results of a McKinsey & Company survey of 2,135 enterprise senior executive respondents. The graph displays the percent of respondents whose organizations have embedded AI capabilities in at least one function or business unit. Respondents can select multiple AI capabilities
Scopes of Machine Learning The machine learning technology is used in most banking and finance industry because the proper implication of technology can give the outstanding result and significant improvement can be seen in terms of replacing legacy system and developed enterprise. The machine learning technology helped the banking & Finance sector in taking company-'s decision making, improving customer experience, increasing the backend and frontend staff efficiency.
  • Improved customer services
  • Improved customer services
  • Investment Predictions
  • Fraud Preventions
  • Personalized Digital Assistant
  • Marketing
  • Network Security

Projects In this course You will get projects with source code , so it will be more understandable and rich for learning. Like speech and face recognition, Bluex and many more.
What materials you will get int this course? You will Get MIT press Notes on Machine learning and yes some of E- Books
So Hurry ! Get this course and Get in the Field of Machine Learning.
Quiz and Interview question will updated soon.Who this course is for:
  • Anyone interested in Machine Learning.
  • Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
  • Software developers or programmers who want to transition into the lucrative data science and machine learning career path will learn a lot from this course.
  • Including business leaders, managers, app developers, consumers - you!

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Instructor Details

Rai's been a professional software developer for over years. During his studies he has worked for major projects such as LiFi.
He has having Patents and copyrights on his projects.

What makes Rai unique is his professional career - many instructors have never worked professionally, let alone had a distinguished professional development career like Rai.
Rai has trained over an number of students and trainee also.

Many instructors have no work experience in the field. Make sure the person you trust with your education is a real expert with substantial previous professional experience.
The bottom line for you is, when taking any of Rai courses, is that you will learn the right way to do things from an expert, in the shortest possible amount of time.What does all of this mean for you?You can have full confidence that Rai's courses are of exceptional quality, and that he can teach you to become a software developer if you have the desire to become one.Are you ready to start? You can get started today. No previous experience is necessary.In 2019, video training is the quickest way to learn, and with Rai's experience and training, it is possible for you to become a software developer. You can do this.Why not start today? Click one of his courses below, and watch his introductory video, to find out more about who he is and what he can offer you.The Academy's goal in the next three years, is to teach on

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Reviews

3.8

68 total reviews

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By Swadesh Anand on 11/1/2020

great course

By Pavithra Ganesh on 8/14/2020

It's a good start for beginners.

By Muthukumar on 6/25/2020

Yes these was very useful and will be try to implement our application

By Sudipto Ghosh on 6/19/2020

Good course structure. Theory part is great. Practical part is not so good because of codes are not clear. Projects available but some how you need someone to understand the line of codes for practical. Other study resources are also provided. Overall recommended for beginners.

By Roberto Hernndez on 6/2/2020

The authors put the title to this course based on another popular course by Kirill Eremenko. They practically copied the title, so I was misled to buy this course, which is definitely not what I was looking for.

By Robert Nelson on 5/17/2020

Quite repetitive and the code examples are good but explanation is a bit lacking. The narrator is essentially just reading out the code that is there.

By Stefan Ninic on 3/6/2020

Very bad English, hard to understand anything.

By Richard Yager on 3/4/2020

not yet sure

By Bhagyalaxmi Gullola on 2/27/2020

good explanation, as videos are from edureka , it would be much more helpful, if you provide datasets for the examples provided in the videos

By Lalita Mohan Mohapatra on 2/17/2020

No codes are provided separately. Most of the videos are present in Youtube as it is. Better to follow courses of Jose Portilla or Kiril Enrico in Udemy.

By Thong Nguyen on 2/7/2020

The content is too poor and not focus on the real machine learning, also some of the tutorial videos was taking from youtube.

By Rajesh Kolipyaka on 2/3/2020

Worst Experience! Waste of Money. The videos which I saw are already in you tube with free of cost.