2020 Machine Learning Roadmap




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Getting into machine learning is quite the adventure. And as any adventurer knows, sometimes it can be helpful to have a compass to figure out if you’re heading in the right direction.

Although the title of this video says machine learning roadmap, you should treat it as a compass. Explore it, follow your curiosity, learn something and use what you learn to create your next steps.

Links:
Interactive Machine Learning Roadmap – https://dbourke.link/mlmap
Machine Learning Roadmap Resources – https://github.com/mrdbourke/machine-learning-roadmap
Learn machine learning (via the course I teach) – https://dbourke.link/mlcourse

Timestamps:
0:00 – Hello & logistics
0:57 – PART 0: INTRO
1:42 – Brief overview of topics
3:05 – What is machine learning?
4:37 – Machine learning vs. traditional programming
7:41 – Why use machine learning?
8:44 – The number 1 rule of machine learning
10:45 – What is machine learning good for?
14:27 – How Tesla uses machine learning
17:57 – What we’re going to cover in this video
20:52 – PART 1: Machine Learning Problems
22:27 – Categories of learning
26:17 – Machine learning problem domains
29:04 – Classification
33:57 – Regression
39:35 – PART 2: Machine Learning Process
41:57 – 6 major steps in a machine learning project
43:57 – Data collection
49:15 – Data preparation
1:04:00 – Training a model
1:23:33 – Analysis/evaluation
1:26:40 – Serving a model
1:29:09 – Retraining a model
1:30:07 – An example machine learning project
1:33:15 – PART 3: Machine Learning Tools
1:34:20 – Machine learning tools overview
1:38:36 – Machine learning toolbox (experiment tracking)
1:39:54 – Pretrained models for transfer learning
1:41:49 – Data and model tracking
1:43:35 – Cloud compute services
1:47:07 – Deep learning hardware (build your own deep learning PC)
1:47:53 – AutoML (automatic machine learning)
1:51:47 – Explainability (explaining the outputs of your machine learning model)
1:53:38 – Machine learning lifecycle (tools for end-to-end projects)
1:59:24 – PART 4: Machine Learning Mathematics
1:59:37 – The main branches of mathematics used in machine learning
2:03:16 – How I learn the math for machine learning
2:06:37 – PART 5: Machine Learning Resources
2:07:17 – A warning
2:08:42 – Where to start learning machine learning
2:14:51 – Made with ML (one of my favourite new websites for ML)
2:16:07 – Wokera ai (test your AI skills)
2:17:17 – A beginner-friendly path to start machine learning
2:19:02 – An advanced path for learning machine learning (after the beginner path)
2:21:43 – Where to learn the mathematics for machine learning
2:22:23 – Books for machine learning
2:24:27 – Where to learn cloud services
2:24:47 – Helpful rules and tidbits of machine learning
2:26:05 – How and why you should create your own blog
2:28:29 – Example machine learning curriculums
2:30:19 – Useful machine learning websites to visit
2:30:59 – Open-source datasets
2:31:26 – How to learn how to learn
2:32:57 – PART 6: Summary & Next Steps

Connect elsewhere:
Get email updates on my work – https://dbourke.link/newsletter
Support on Patreon – https://bit.ly/mrdbourkepatreon

Web – https://dbourke.link/web
Quora – https://dbourke.link/quora
Medium – https://dbourke.link/medium
Twitter – https://dbourke.link/twitter
LinkedIn – https://dbourke.link/linkedin

#machinelearning #datascience

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Comment List

  • Daniel Bourke
    November 13, 2020

    bro thank you, bro now I got a clear picture of what I need to do? thank u so much bro..
    Even I liked the way of your explanation

  • Daniel Bourke
    November 13, 2020

    Thanks for sharing, and I was applying some of your tips! check https://axisbits.com/blog/5-Key-Challenges-in-Machine-Learning-Development

  • Daniel Bourke
    November 13, 2020

    Wow. I have really learnt much from this video. Am going to start creating such roadmaps, you saved my life Dan. I am a new ML enthusiast. You are a God

  • Daniel Bourke
    November 13, 2020

    Wow. I have really learnt much from this video. Am going to start creating such roadmaps, you saved my life Dan. I am a new ML enthusiast. You are a God

  • Daniel Bourke
    November 13, 2020

    Didn't know Brett Lee was into Machine Learning!

  • Daniel Bourke
    November 13, 2020

    God bless you, sir. This information is a Godsent! I'm very new to ML with a burning passion to help develop self driving cars and so many moments I want to give up because I'm aimless wandering around a sea of infinite overwhelming information. Your video has not only reignited my curiosity but has GIVEN ME A PATH to actually navigate this powerful journey. Thank you so much for gifting us this valuable knowledge. 🙏

  • Daniel Bourke
    November 13, 2020

    I don't know if I should swear here – but this is probably the best fucking video on youtube, IMHO. Wow, just wow.

  • Daniel Bourke
    November 13, 2020

    Thanks Daniel. This is the single most comprehensive consolidation of every resource and avenue related to ML. May you live well ^^

  • Daniel Bourke
    November 13, 2020

    Someone recommends an oven that can cook perfect chicken itself (machine learning)? Thanks.

  • Daniel Bourke
    November 13, 2020

    I salute you for the hard work!

  • Daniel Bourke
    November 13, 2020

    That was awesome.👏

  • Daniel Bourke
    November 13, 2020

    This is an amazing video. Just that I'm going to say.

  • Daniel Bourke
    November 13, 2020

    After watching and learning python video for 8hrs i dont think two hours is long…

  • Daniel Bourke
    November 13, 2020

    finally a good recommendation. Learning ML.

  • Daniel Bourke
    November 13, 2020

    Maaaaaaaaaaaaaaaaaaan thanks

  • Daniel Bourke
    November 13, 2020

    I'm so glad you exist holy fuck

  • Daniel Bourke
    November 13, 2020

    Thank you Daniel for putting together such an awesome roadmap! It helped me connect all the dots. As you said, there are so many resources out there on the internet but the challenge is to come up with the right path to achieve the goal. I was so confused until I saw this video. I think I have a lot more clarity now. Thank you once again.

  • Daniel Bourke
    November 13, 2020

    Love you man Thank you so much , you are best for ever

  • Daniel Bourke
    November 13, 2020

    Amazing is all I got in mind! Thank you Daniel!!!

  • Daniel Bourke
    November 13, 2020

    pretty good, now we just got to teach 10 years old's this, change the future

  • Daniel Bourke
    November 13, 2020

    I’m super appreciated about your resources. Nice work!

  • Daniel Bourke
    November 13, 2020

    Wow this video is so much work… Good job

  • Daniel Bourke
    November 13, 2020

    Thank you Daniel it is great material and helps

  • Daniel Bourke
    November 13, 2020

    Thanks bro…where do you want to put H2o.ai?

  • Daniel Bourke
    November 13, 2020

    Superb video.. Luv from India mate!!

  • Daniel Bourke
    November 13, 2020

    amazing i love the tutorial im a newbie.

  • Daniel Bourke
    November 13, 2020
  • Daniel Bourke
    November 13, 2020

    I liked your video not because i watched it, because you took your time to help me, to find my way. Thank you.

  • Daniel Bourke
    November 13, 2020

    This is such an awesome learning map for ML! It has everything! Big thanks to you, Dan!

  • Daniel Bourke
    November 13, 2020

    Best video I ever seen. Thanks bro.. 🙂

  • Daniel Bourke
    November 13, 2020

    This is Rolls-Royce quality level content. Stupendous ! Thank you and congratulations !

  • Daniel Bourke
    November 13, 2020

    Great video, thank you!

  • Daniel Bourke
    November 13, 2020

    Can anyone recommend me laptops for ML

  • Daniel Bourke
    November 13, 2020

    Thank god
    Utube rcmnd me this

  • Daniel Bourke
    November 13, 2020

    You are my role model~~~ woWWWWW you did really good job.. Crazy guy~!!!

  • Daniel Bourke
    November 13, 2020

    awesome video,thank you so much,you give us a lot of good clear information and advises
    i have a problem with something
    in video you said if you don't know what department of ml enter ,just keep following your curiosity
    the problem ,I don't know what to enter,I don't what the perfect department for me ,my carios is very big for a lot department, and i have no time to enter all them,i need to enter just 1 department to be very very good in it to have job after that..
    how i can be clear with my self in that ,any advise ?
    thaank you .

  • Daniel Bourke
    November 13, 2020

    Oh my God, 02:37:17 just have been finished, this is a legendary work
    Thank you for the precious info you gave

  • Daniel Bourke
    November 13, 2020

    I was looking for a video like this, I am so grateful for your efforts on this. Thank you.

  • Daniel Bourke
    November 13, 2020

    Is it possible to get the file for this diagram?

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