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- 86% Introduction to Machine Learning for Data Science

Introduction to Machine Learning for Data Science

$12.99Track price

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8.5/10 (Our Score)
Product is rated as #128 in category Machine Learning

Course Most Recently Updated Nov/2018!

Thank you all for the huge response to this emerging course! We are delighted to have over 20,000 students in over 160 different countries. I’m genuinely touched by the overwhelmingly positive and thoughtful reviews. It’s such a privilege to share and introduce this important topic with everyday people in a clear and understandable way.

I’m also excited to announce that I have created real closed captions for all course material, so weather you need them due to a hearing impairment, or find it easier to follow long (great for ESL students!)… I’ve got you covered.

Most importantly:

To make this course eal , we’ve expanded. In November of 2018, the course went from 41 lectures and 8 sections, to 62 lectures and 15 sections! We hope you enjoy the new content!

Unlock the secrets of understanding Machine Learning for Data Science!

In this introductory course, the Backyard Data Scientist will guide you through wilderness of Machine Learning for Data Science. Accessible to everyone, this introductory course not only explains Machine Learning, but where it fits in the techno sphere around us , why it s important now, and how it will dramatically change our world today and for days to come.

Our exotic journey will include the core concepts of:

Instructor Details

Mr. David Valentine is an decorated Enterprise Architect with over seventeen years of experience in enterprise computing environments. He currently works for the Province of Manitoba, in Canada where he is a responsible for the architecture of the Server and Mainframe compute environment. Mr. Valentine has a passion for Data Science, Computer Science, Machine Learning and Data Science. As the Backyard Data Scientist , he bring his experience and ability to simplify challenging technical topics to Data Science. He's delighted to offer the world his first course on the Udemy platform, Machine Learning for Data Science

Specification: Introduction to Machine Learning for Data Science

Duration

5.5 hours

Year

2020

Level

Beginner

Certificate

Yes

Quizzes

Yes

42 reviews for Introduction to Machine Learning for Data Science

4.4 out of 5
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  1. Girish Choudhary

    Amazing experience. Very insightful course!

    Helpful(0) Unhelpful(0)You have already voted this
  2. Eduard Oh

    klar, verst ndlich, gut strukturiert und unterst tzt mit Folien etc. m glich Kapitel abzuschliessen ohne sie angeschaut zu haben fehlt

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  3. Jing Jie Ma

    The lecturer presents the content clearly and put himself in audience’s shoes to proactively offer a lot of help and reference in advance. Thanks for the quality video and great consideration.

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  4. Anoop Vishwakarma

    Easy paced so far

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  5. Satoshi Abe

    This is so helpful for me.

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  6. Joseph Philip

    Good

    Helpful(0) Unhelpful(0)You have already voted this
  7. Chiara Carla Bagiotti

    Have not been learning anything so far

    Helpful(0) Unhelpful(0)You have already voted this
  8. Masaru Onodera

    It was good.

    Helpful(0) Unhelpful(0)You have already voted this
  9. Roshan Mathews

    A very good learning experience

    Helpful(0) Unhelpful(0)You have already voted this
  10. Seng Bo Nelson Ng

    Has been very easy to understand.

    Helpful(0) Unhelpful(0)You have already voted this
  11. Jugal Joshi

    Good introductory course for complete beginners to understand the definitions of buzzwords in the data science/ML space and get a peek into the high level process of solving a machine learning problem. Thanks Dave!

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  12. Cristina Soler Torres

    ok

    Helpful(0) Unhelpful(0)You have already voted this
  13. Sujeeth Arikeri

    Good

    Helpful(0) Unhelpful(0)You have already voted this
  14. Aron Nagy

    Clear and easy to follow.

    Helpful(0) Unhelpful(0)You have already voted this
  15. Mathias Varga

    good

    Helpful(0) Unhelpful(0)You have already voted this
  16. Arnaud Fosso P.

    The author seems very concerned about our learning and I appreciate the quality of the closed captions

    Helpful(0) Unhelpful(0)You have already voted this
  17. Francis Rajendra Corda

    Covered all topics

    Helpful(0) Unhelpful(0)You have already voted this
  18. Himanshu Kumar

    This is a great stuff to learn now a days.

    Helpful(0) Unhelpful(0)You have already voted this
  19. Pradeep Laxkar

    Good

    Helpful(0) Unhelpful(0)You have already voted this
  20. Edwin Daly Vaughn

    Good high level conceptual overview. Very straightforward.

    Helpful(0) Unhelpful(0)You have already voted this
  21. Unnati More

    yes it is great match foe me who want to learn machine learning and artificial intelligence from scratch 🙂

    Helpful(0) Unhelpful(0)You have already voted this
  22. Djalal Chenafi

    the sounds was not working at some sub section From 9 to 14 (even with the switch of Chrome to explorer and vice versa

    Helpful(0) Unhelpful(0)You have already voted this
  23. Priyanka Bhosale

    NA

    Helpful(0) Unhelpful(0)You have already voted this
  24. Nilesh Bapat

    Excellent content and references to relevant material.

    Helpful(0) Unhelpful(0)You have already voted this
  25. Virendra Sureshrao Mane

    GOOD

    Helpful(0) Unhelpful(0)You have already voted this
  26. OH PING HUAT

    A bit lengthy

    Helpful(0) Unhelpful(0)You have already voted this
  27. LEE YING JIE, ALEX

    It was an enriching experience for me to be exposed to this new topic.

    Helpful(0) Unhelpful(0)You have already voted this
  28. Pramod Muraleedharan

    Experience and explanations are easy to understand.

    Helpful(0) Unhelpful(0)You have already voted this
  29. Blessing Mukombwe

    Course was informative

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  30. ASHA D/O VASUDEVAN Vasudevan

    New Knowledge

    Helpful(0) Unhelpful(0)You have already voted this
  31. Dr Binod Kumar

    Sir your course is very informative and every thing has been explained in proper way with real example.

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  32. Qurrath Ul Ain Nuzhath

    good

    Helpful(0) Unhelpful(0)You have already voted this
  33. Harish Malvi

    good

    Helpful(0) Unhelpful(0)You have already voted this
  34. Jessica Sanchez

    Course itself has been easy to consume and the applied examples provide a common viewpoint for context.

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  35. Neha Jain6

    It was overall good learning platform for beginners.

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  36. Megan Pepi

    Would have appreciated a bit more enthusiasm to make it easier to follow and maintain focus on the instructor, especially when learning about creating algorithms.

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  37. CHUA JUN HAO Chua

    It was really a concise and well elaborated course.

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  38. TAN YI JIE

    I have learnt alot about this course

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  39. BOH JU SENG MATHEW

    Yes

    Helpful(0) Unhelpful(0)You have already voted this
  40. Nadia Ramchandra

    Easy to follow, good explanations of concepts.

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  41. Ilia Deviatov

    Ask me after the end of the course

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  42. CHAN YAN KIAT

    Not really suit me.

    Helpful(0) Unhelpful(0)You have already voted this

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    Introduction to Machine Learning for Data Science
    Introduction to Machine Learning for Data Science

    $12.99

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