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Ideas using Machine Learning?

Discussion in 'Ideas, Needs, Concept Feedback' started by Rodmunch1, Apr 6, 2019.

  1. Rodmunch1
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    Rodmunch1 PARKED Read Millionaire Fastlane

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    I have some knowledge in machine learning, image processing, and deep learning. I was hoping there was a way I could use my knowledge of ML to work for myself and scale it and generate passive income, as opposed to working for a company or as a freelancer

    The only action I've really taken is starting a couple courses on Udemy. I was thinking I could make start a Youtube channel in which I go over machine learning projects that are simple and easy to understand for beginners

    Or maybe I'm better off just starting my own web business (for example, an e-commerce site) and learning marketing/sales and hiring/outsourcing a machine learning freelancer?

    Anyone else here with some knowledge of machine learning? What are some good ways to use it to get in the fastlane?
     
    Last edited: Apr 6, 2019
  2. Jeff Noel
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    Jeff Noel Silver Contributor Read Millionaire Fastlane I've Read UNSCRIPTED FASTLANE INSIDER Speedway Pass

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    The fastlane is a mindset. You can find good ways of using Machine Learning pretty much everywhere right now. Just listen, find real needs and provide value to people. Machine Learning is just starting... and it can be applied to pretty much any niche.

    Don't chase money, provide value.
     
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  3. hydemx
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    hydemx Contributor Read Millionaire Fastlane I've Read UNSCRIPTED

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    This. Do not try to find a way for making money with Machine Learning. Find a way to solve a problem with Machine Learning, and money will follow.
     
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  4. Rodmunch1
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    Rodmunch1 PARKED Read Millionaire Fastlane

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    Ok, so once I find a need and can provide value, is someone like me who already has years of experience with programming in machine learning (but nowhere near expert-level and there's tons of people who can program better than me. I also have no web programming skills) better off working on the machine learning/technical side? Or am I better off just outsourcing that work and devoting my time to sales, marketing, etc?

    I saw some of the previous threads here about whether to outsource the coding or learn it, but those seem mostly for people who have no prior programming experience. I've already devoted years to programming
     
    Last edited: Apr 6, 2019
  5. lowtek
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    lowtek Platinum Contributor Read Millionaire Fastlane FASTLANE INSIDER Speedway Pass Summit Attendee

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    Subscribe to me on YT (link in signature) - yes a shameless plug.

    You can freelance right away. Head on over to my channel and check out the machine learning freelancer series, and then check out @Lex DeVille content for some more in depth material on how to land gigs as a freelancer.

    @Remiremi has also had success doing some freelance stuff in ML, and that has translated into other opportunities for him.

    YT is a tough grind. I've been doing it off and on for almost two years and just crested 1,000 subs. I quit my last gig and now I'm doing YT full time as I build an audience to sell material to.

    I'd recommend Fast.ai over Udemy courses, in general, but if you want to go the Udemy route, check out Lazy Programmer's stuff. It's quite good, though I don't care for his coding style.
     
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  6. lowtek
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    lowtek Platinum Contributor Read Millionaire Fastlane FASTLANE INSIDER Speedway Pass Summit Attendee

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    I just read that you don't really want to freelance, after writing my above post. My bad.

    Well, I'd say that you should freelance, or get a job, first, so that you can see what the market actually needs. Trying to guess and launch something isn't a great idea, unless you have some other product that people are paying for that you can improve with ML / DL.
     
  7. Rodmunch1
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    Rodmunch1 PARKED Read Millionaire Fastlane

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    I already have a job, but it's image processing (with a little deep learning) related. I also have freelanced a little bit in the past. How is freelancing part of the fastlane? I don't see how it generates passive income and scales
     
    Last edited: Apr 6, 2019
  8. lowtek
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    lowtek Platinum Contributor Read Millionaire Fastlane FASTLANE INSIDER Speedway Pass Summit Attendee

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    Generating additional income, building contacts, broadening your skillset, and engaging the marketplace has an infinitely higher probability of leading to a fastlane business than sitting around on your own trying to come up with ideas that generate passive income and scale.
     
  9. Rodmunch1
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    Rodmunch1 PARKED Read Millionaire Fastlane

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    Ok that makes sense. I did freelance a bit in the past. I had a few different clients I found from Upwork and other sites, but those were very short-term projects
     
  10. Rodmunch1
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    Rodmunch1 PARKED Read Millionaire Fastlane

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    Oh, I forgot to mention that I can't even use Upwork anymore. Even though I completed projects with a couple different clients there, I was banned from the site without an explanation. I contacted them numerous times and they declined to give me an explanation for the ban
     
  11. Remiremi
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    Remiremi Bronze Contributor Read Millionaire Fastlane I've Read UNSCRIPTED FASTLANE INSIDER

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    Hey @Rodmunch1
    Although freelancing is not fastlane, as @lowtek said freelancing is a good way to get the grind going, also you can generate much more cash than a 9-5 and be in control of your hours meaning you can make room for rest or for any other side projects you like. Plus some other collateral benefits like networking, skills etc... I am not gonna extend on that as @Fox already put the concept into words here in his disclaimer. : How to Learn Code, Start a Web Company, $15k+ per month within 9 months

    About Ideas I will suggest teaching ML locally, there's a huge demand for ML professional face to face formations and very few teachers available, for example, now that I made the jump and am teaching ML three days a week, I am approached by other opportunities that I have to turn done because they don't quite fit into my schedule. (You can't be two places at the same time)

    A day of formation can be worth 500 to 3000€ to you. If you get good at it before the bubble explode, you can definely stack up some cash and contacts, and then move on with higher success rate to a fastlane idea.
     
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  12. Rodmunch1
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    Rodmunch1 PARKED Read Millionaire Fastlane

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    How do you find these face-to-face teaching opportunities?
     
  13. Remiremi
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    Remiremi Bronze Contributor Read Millionaire Fastlane I've Read UNSCRIPTED FASTLANE INSIDER

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    Really depends of your geography to be honest.

    In Paris, ML is fashionable so I guess those opportunities are easier to come by, what worked for me to get the foot in the door was a mixture of two things
    A) Having a profile on a local freelancing platform
    B) Volunteering to teach AI for free and organizing AI meet-ups.

    (A) gave me the opportunity and (B) the credentials to seize it.
     
    Last edited: Apr 7, 2019
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  14. Scalr
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    Scalr Contributor Read Millionaire Fastlane I've Read UNSCRIPTED

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    I am working in a company that uses ML and I am thinking along the same lines.
    Check Upwork Jobs to see what companies are looking for.
    Some want you to set up the whole stack for them (AWS, Tensorflow etc) and show that you can run some models. I think this could be something companies will want more and more in the coming years. Some will want you to train models. Or are looking for datasets (labeled).

    I also think some companies first need to see what can be done using ML. Many have no idea and need to see the light first. Like how you could train models for malls (maybe not a good idea with malls dying, idk) but use their video footage & computer vision to predict customer behavior, how changes to the mall change customer behavior.
    Maybe: How can you increase customer time spent in malls by adding some decoration?

    Go to mall/store owners find out what they would like to know.

    It is probably also not the time yet to approach any company. Some of them just realized they need to organize their data better and are probably investing there first.

    But I agree, there is a lot of money to be made and it’s time to really think about it. Thanks for starting this thread. :)
     
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  15. Scalr
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    Scalr Contributor Read Millionaire Fastlane I've Read UNSCRIPTED

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    Here is another one:

    Car repair shops probably have a dataset about customers - miles driven, repairs done etc. Using machine learning over several datasets you could predict upcoming issues for their customers vehicles. Using VIN and miles, fuse this with a database that has known issues per vehicle after x miles of driving. Surface to the shop owner.
    Prepare an email based on all this information, offering personalized information and discounts.


    + based on past customer visits, run a model that estimates how many miles the customer drove until now and should get this pretty accurately.
     
  16. 404profound
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    404profound Gold Contributor I've Read UNSCRIPTED Speedway Pass

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    Also of note, I see tensorflow now has a JS implementation, so web-based ML is now feasible in the browser (I can hear every ML engineer screaming "don't do it!"), and I mostly agree - JS being single-threaded means slowww processing for large datasets. However, there are ways around it, like asynchronous loading and chunking. Just mentioning it in case anyone has JS knowledge already and wants to try out tensorflow.
     
  17. lowtek
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    lowtek Platinum Contributor Read Millionaire Fastlane FASTLANE INSIDER Speedway Pass Summit Attendee

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    It's an interesting idea, but it depends on too many unknowns.

    For instance, if a person does their own oil changes, it may appear that they are about to grenade their engine if they don't visit a dealership for a change, but they're probably fine.
     
  18. Scalr
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    Scalr Contributor Read Millionaire Fastlane I've Read UNSCRIPTED

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    Absolutely, the edge cases. I think it depends on how you position your email. So it is not too "creepy" but tells customer if they need it, you are there for them.

    Like what Target did with pregnant moms, they were able to predict that on buying behavior and offered huge discounts to them for car seats, diapers etc. This way they wanted to convert them to become regular customers. As childbirth is such a life-changing event, might as well change shopping habits.
     
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  19. Scalr
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    Scalr Contributor Read Millionaire Fastlane I've Read UNSCRIPTED

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    This might actually be super interesting.

    There are also lots of Automation Startups raising tons of money recently. What they offer is basically a bot that watches user behavior and then finds tasks that can be automated based on that. (financial, accounting, support, internal communications etc) - pure machine learning. "Automation Anywhere" is one example. They raised $300m from Softbank. And corporations are just realizing what all can be automated.

    Smaller agencies doing this for them might have a shot too, maybe? No $300m needed to start something like that. But some knowledge in ML.
     
  20. 404profound
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    404profound Gold Contributor I've Read UNSCRIPTED Speedway Pass

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    Really if you know a few classification methods and how to write an async function in node you could roll it in tensorflow using their documentation. I can think of use cases that would even eliminate my current position lol.
     
  21. NovaAria
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    NovaAria Contributor Read Millionaire Fastlane

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    Just dropping by to say that, as someone who's from a completely different field and with no knowledge on programming and ML, I am absolutely loving this discussion. I can smell the gold brewing here.
    If my understanding of the field is correct, the biggest problem that major companies are facing when they try to embrace AI and ML is that they collect loads of "dirty" data that needs labeling, sorting, and preparing before it can be thrown into models?
    Is this something that their in-house data scientist/analyst or ML agency does for them? Sounds like a waste of time and money if your engineer is busy filling excel sheets on your dime, and... If there is waste, there is a problem that needs solving...
    Is my thinking correct?
     
  22. 404profound
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    404profound Gold Contributor I've Read UNSCRIPTED Speedway Pass

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    Yes, and the other part of it is building models that "learn" on their own. That means with the cleaned data the ML engineer is "training" an algorithm to predict future outcomes based on statistical analysis of the data it is fed. In finance a model can be trained to predict stock performance based on large amounts of passed data being analyzed and used to train the machine. In healthcare a machine can be trained to find tumors based on the images it had been fed previously, and so on.
     
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  23. Scalr
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    Scalr Contributor Read Millionaire Fastlane I've Read UNSCRIPTED

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    To keep the inspiration going:
    In transportation a model gets trained to detect what happens inside & outside the vehicle. Fusing it with a whole bunch of other sensors (GPS, Gyroscope etc.) Yes, this is used for self-driving cars.

    In finance it is also used (by banks) to analyze over millions of transactions to detect fraud. Like when Chase messages you that there a suspicious activity, it is because there an anomaly to your usual purchase behavior.

    Some more thoughts on where else could it be used:
    Dating, analyze over big amounts of data to find the right person online. BUT this person doesn't even need to sign up for your service because all kinds of data is publicly available. :)
    Based on location, hangout spots, interests or the type of filter they use on their instagram photos.
    Creepy? Probably.

    Here is another good one:
    We know that all companies collect stuff about you to analyze. They will not always share this data with you. How about a user based ML - tell me what other companies know about me based on tracking my behavior on MY OWN machine.

    Maybe even, based on that we compare and analyze your chances of success in certain areas of your life based on data from other users. (anonymized) - no need to fill out a 10 question survey. Just install our tracker and come back after a week.

    We tell you everything you didn't know you are. :)
    (Yes, I am reading the Boron letters right now and am just getting started on that.)
     
  24. The-J
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    The-J Legendary Contributor Read Millionaire Fastlane I've Read UNSCRIPTED Speedway Pass LEGENDARY CONTRIBUTOR Summit Attendee

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    Machine learning is dope. For you, I'd recommend finding an interesting project that people further along than you have already started and joining on.

    I don't know anything about ML/DL except the very basics of how they work but I've already got a few ideas. I can't execute on them right now, though.
    • ML ad creative optimization. Take data from Facebook or other ad network sources and use them to make ad creatives. Still images and text only, video is infinitely more complex. Create this technology, patent it, and sell to a large company.
    • ML financial modelling SaaS for small companies. Have a program that creates robust financial forecasting models for businesses and sell as a SaaS.
    • Improvements to existing NLP algorithms or programs to create chatbots that actually F*cking work. (I tried to create a chatbot for an 8 figure company and it went over like a lead balloon)
    ML is not just automation. It's something deeper than that.

    Man, ML is so cool. I need to devote more of my time to learning about it.
     
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  25. NovaAria
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    I agree.
    Recently, something interesting happened that people who follow the gaming industry have probably heard of. A game called Anthem, published by a certain company called EA, was launched. Users eventually discovered that the game had certain facets of ML integrated (rather poorly, this was probably a first attempt). EA was trying to maximize playtime by manipulating drops, rewards, damage and game difficulty by tracking user behavior and adjusting the game on the fly. This went poorly as the game felt extremely weird and simply unfun.
    Interestingly, though, once people discovered this integration they started gaming the system. For example repeatedly closing and reopening the game to trigger rewards, or taking long breaks to let the game encourage a play session by enhancing the drops.

    The human brain wins again... This time.
     
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