Excellent advice. I started learning c# about a year ago. Books and online courses have helped me learn the language, but none teach how to develop an application. I have learned so much by developing personal projects. I have learned how to implement sql databases, user identity, azure cloud services, api’s, GitHub, wpf apps, and blazor web assembly. I strongly recommend to work on projects as soon as possible. Also, learn how to debug and troubleshoot. Learn how to use your ide. It will make your development experience more enjoyable. Last thing…..Courses are good if you want to learn a new framework, but what’s even better is native documentation. I’m starting to learn svelte and their documentation and learning resources are fantastic.
I just found your channel, I congratulate you on the knowledge you transmit, it's a good option for me because I'm improving my English and recently changed my specialty from frontend to data science. What projects do you recommend I do to show an attractive portfolio? I'm looking for my first job as a data scientist.
I’m a new sub after binge watching a few of your videos and I’m hoping I can land a ML engineer program in about a year. I’m a soon to be student in practicums data science course which has a focus in machine learning and I’m planning on also getting all 3 cloud ML certs as well as taking the tensorflow and ibm course for ML and hoping that can help me land my first job in the ML/AI space as a non college graduate. Thanks for making such great videos and being a wealth of knowledge on the subject!
Subbed, looking forward to browsing your other videos. I have a pretty important question that I feel doesn't get asked often. What is so interesting about being an ML engineer / what advice do you have for someone who has a passing interest in it? There's no denying that stuff like GPT-3, DALL-E, NLP is amazing, and I find that pattern recognition and datasets to be a captivating subjects in their own right. But as far as I understand, a ML engineer will be responsible for wrangling data, cleaning it endlessly, and refining it again until it performs well. This sounds kinda like DevOps in the sense that infrastructure is configured on a large scale, but this time to gain insight and not serve as the backbone of a software service. I purchased Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow on a whim but perhaps going through the entire book might answer my question? Or if you don't have a video already, why did you get into the field? How are the problems you are solving more fulfilling than other roles in tech ( data science, cloud architect, back end developer, DevOps, etc ), or was it enough to have an interest for you to seek it out as a career? Thanks for reading!
I can't do it and I can't see myself do anything else. I can't solve basic looping problems and I am dreaming of cracking ML jobs. I have been at it for almost a year now and I cant get past Python basics. I am getting frustrated and am just thinking of quitting.
Bro I failed so much at it in my first years of learning programming that I feel your pain. Ask yourself why do I like programming, Stop saying you can’t, get rid of that word from your vocab, and get yourself on good teaching program. I not only used youtube, udemy, others, but I also went to obtain a CS degree so I can have certain structure. Even then I still struggle with Leetcode and other stuff but I no longer struggle like I did when I first started. Programming is hard because it is you instructing a machine on doing specific tasks expecting a desired outcome remember what you expect on outcome will make you a better programmer.
Do you believe in Jesus and the Holy spirit? I ask for divine wisdom before I cane to understand python far better than anyone I presumed. Now I am an intermediate ML engineer. I understand things in a clearer way no tutor can explain. Ml is a clever simulation of human solution to problem. It basically uses graph technique to extrapolate for solutions. In clustering, if I have grain of salt, sugar and white sand, how do human separate these items? Human can feel the texture or taste it but ML cannot. They only understand numbers.
Hi Smitha, New Subscriber here, Thank you for all the info. Could you provide QA Tester/Engineer's roadmap / roles in ML and AI technologies . Are there any positions for QA Tester's in ML /AI platforms? if so pls specify skill set. Thank you!
I love the idea on not focusing too much on courses. There's tons of free resources out there including your own YT channel :)
Excellent advice. I started learning c# about a year ago. Books and online courses have helped me learn the language, but none teach how to develop an application. I have learned so much by developing personal projects. I have learned how to implement sql databases, user identity, azure cloud services, api’s, GitHub, wpf apps, and blazor web assembly. I strongly recommend to work on projects as soon as possible. Also, learn how to debug and troubleshoot. Learn how to use your ide. It will make your development experience more enjoyable.
Last thing…..Courses are good if you want to learn a new framework, but what’s even better is native documentation. I’m starting to learn svelte and their documentation and learning resources are fantastic.
I just found your channel, I congratulate you on the knowledge you transmit, it's a good option for me because I'm improving my English and recently changed my specialty from frontend to data science. What projects do you recommend I do to show an attractive portfolio? I'm looking for my first job as a data scientist.
Yes! To do network through a community is very important. Notions are not enough.
Wow this is unique stuff. Thank you for the video.
Very good Smitha your videos will help new engineers👍
In ML journey is difficult to survey also fun too..
I’m a new sub after binge watching a few of your videos and I’m hoping I can land a ML engineer program in about a year. I’m a soon to be student in practicums data science course which has a focus in machine learning and I’m planning on also getting all 3 cloud ML certs as well as taking the tensorflow and ibm course for ML and hoping that can help me land my first job in the ML/AI space as a non college graduate. Thanks for making such great videos and being a wealth of knowledge on the subject!
Subbed, looking forward to browsing your other videos.
I have a pretty important question that I feel doesn't get asked often.
What is so interesting about being an ML engineer / what advice do you have for someone who has a passing interest in it?
There's no denying that stuff like GPT-3, DALL-E, NLP is amazing, and I find that pattern recognition and datasets to be a captivating subjects in their own right. But as far as I understand, a ML engineer will be responsible for wrangling data, cleaning it endlessly, and refining it again until it performs well. This sounds kinda like DevOps in the sense that infrastructure is configured on a large scale, but this time to gain insight and not serve as the backbone of a software service.
I purchased Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow on a whim but perhaps going through the entire book might answer my question? Or if you don't have a video already, why did you get into the field? How are the problems you are solving more fulfilling than other roles in tech ( data science, cloud architect, back end developer, DevOps, etc ), or was it enough to have an interest for you to seek it out as a career?
Thanks for reading!
Amazing video-keep it up!
Than you for sharing this sibling. It helped me a lot😊.
Thanks for it ☺️🙏
Thank you; you've been super helpful!
Thanks for it.
Have any of you guys used Data Science from Scratch?
I can't do it and I can't see myself do anything else. I can't solve basic looping problems and I am dreaming of cracking ML jobs. I have been at it for almost a year now and I cant get past Python basics. I am getting frustrated and am just thinking of quitting.
Bro I failed so much at it in my first years of learning programming that I feel your pain. Ask yourself why do I like programming, Stop saying you can’t, get rid of that word from your vocab, and get yourself on good teaching program. I not only used youtube, udemy, others, but I also went to obtain a CS degree so I can have certain structure. Even then I still struggle with Leetcode and other stuff but I no longer struggle like I did when I first started. Programming is hard because it is you instructing a machine on doing specific tasks expecting a desired outcome remember what you expect on outcome will make you a better programmer.
Omg yes looping has been hard but I think I started understanding it now after I turned to learning data science on data camp.
Do you believe in Jesus and the Holy spirit? I ask for divine wisdom before I cane to understand python far better than anyone I presumed. Now I am an intermediate ML engineer. I understand things in a clearer way no tutor can explain.
Ml is a clever simulation of human solution to problem. It basically uses graph technique to extrapolate for solutions.
In clustering, if I have grain of salt, sugar and white sand, how do human separate these items? Human can feel the texture or taste it but ML cannot. They only understand numbers.
Hi Smitha, New Subscriber here, Thank you for all the info. Could you provide QA Tester/Engineer's roadmap / roles in ML and AI technologies .
Are there any positions for QA Tester's in ML /AI platforms? if so pls specify skill set. Thank you!
i tried to join your discord but i got 0 permission for anything, not even seeing the rule channel, it's totally blocked for anyone
Awesome
your gorgeous and thanks
A year ago you did a video about not doing ML but you advise people how to study ML.
I really don’t get it.
Dam she Pretty
smomoNdiya
Nice smile