I have been researching and researching for 2 years now. I went through so much bs to try to understand how to become a machine learning engineer. Im still in the same place. You sir, have given the absolute best no bs answers to many of my questions in 5 mins. Well done my man. Amazing advice and I cant thank you enough.
The certifications you recommended. Which certification for each one do you recommend getting. For example, do you prefer the Oracle SQL cert or another?
I got a comment from you an hour ago. There is only one thing If you can answer I will really appreciate it. We don't need to stress about maths too much as it is done in the form of models and we just need to include them according to our requirements? Is it true?
Appreciate you advocating for a ground up approach! That's exactly why Ive targeted jobs that stretch core data skills. IT and analytics technology requires smart hands.
I'm an IT student and i've been very unsure about the ML road that i chose with all the rumours like 'graduates can't get an ML jobs and stuff'. But this, this single video cleared all that fog. THANK YOU SIR. YOU MIGHT HAVE CHANGED MY LIFE.
@@thedatajanitor9537 I have some small questions though, It would mean a lot to me if you can answer them: 1. Are the fundamentals like DSA or Linear Algebra, Probability and Statistics,... important when I aim to get an entry level job being an Data Analyst or should I dedicate most of my time to learn SQL, tableau,.. like you have mentioned and try to get those certificates during my college days (is this even possible? I'm on the start of the third year) 2. Should I aim for a Master degree or Bachelor is enough? For the entry position of Data Analyst of course. 3. Do English-speaking companies have a prejudice against non-native English speakers or foreigners ? I'm not exactly fluent in the language. 4. Can these certificate exams be taken online ? How much time do you think an IT student would have to spend on average to achieve one certificate from scratch ? 5. Which one would you recommend to learn? MySQL or PostgreSQL ? Or another one ? Thank you very much !
By certifications you mean certificates from coursera, udemy etc? Great no nonsense, no sugercoat videos. Message delivered. Also one request, make a video with a list of course you think will help to learn the most and land interviews.
Razi (and other viewers): Before you make such statements, watch ALL of @The Data Janitor videos. He explains this clearly and succinctly, again and again, with slides. As one of my former managers (born overseas) once said to me: "You should be knowing dis." I suppose that he had a certificate of completion in conversational English, but not a certification. You will see some repetition. That is because he keeps seeing the same question about certificates and certifications in viewer comments. It took me a while to realize something: he is quite patient. You won't grasp that unless you watch a bunch of his videos.
Do you think you can give advice on what makes a great Machine Learning Engineer? For example there are certain Machine Learning Engineers that make 500k+. So what makes those Machine Learning engineers more valuable? What skills do they possess? Any guidance on the subject would be greatly appreciated. Amazing channel and I love what you do.
Data skills. Most of the job is data cleansing and data sourcing. If you don't have those skills, you won't be working in any MLE role. Here, watch this and a few more of my videos to get an understanding of this space. ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-svUWW2f_6LY.html
Graduated with a computer engineering degree. I work as telecom engineer currently. I plan to do the transition to become ML engineer. I guess my best choice it's to become first a data analyst instead of going for a master in ML.
You could be the world's greatest modeler but you won't get a real-world job without SQL. So, yes... if you aren't leaning SQL you'll never make it to a real-world role. Machine learning is mostly SQL and data cleansing, it's not modeling. Additionally, there are no entry level machine learning engineering jobs. You'll need to start off at a lower role like the data analyst.
The easiest one. Administering relational databases on Azure. I added a exam simulator on LB for it. The best one is probably the MySQL ones but they are much harder.
Do you have SQL skills? You'll need those. How is your Python? If you have Python and SQL skills start learning applied machine learning. Data cleansing, modeling, applied stats, imbalanced data... etc. Check out this video: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-VfGnxSRaQjo.html
I am a Java developer with 4 years of experience. Do you think I can transition directly to a role as a ML engineer without going through roles like data analyst or data scientist? Thank you very much
Possible? Sure. Not likely though. Most programmers who tell me they know SQL don't get past the first three interview questions. You know it or they move on.
@@thedatajanitor9537 I Having a professional SQL certification and a Master's in Computer Science, do you think moving to a data analyst role is a step back for a computer engineer?
How does a machine learning scientist i.e. PhD with several years of python prototyping (lot of data cleansing/ wrangling, modelling) , no experience in software engineering break into machine learning engineering ?
I don't know. It's brutally difficult. When I was a Uber we interviewed lots of PhD types and because they had no real-world data skills, they never made it past the phone screen. This is one group I honestly don't know how to help. Sorry.
@@thedatajanitor9537 What interview questions those PhD types did not know to answer? What is real-world data skills, I mean what is the secret that people do not know about it? Why did you(Uber) call them if there was no real-world data skills on their resumes, at first place?! Something is wrong here?
@@ZoranJovic-li2ee Because almost every company hired these dipshits. The failures are well known and massive and they are being fired everywhere. Here you go: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-14RPhvDN4uo.html I didn't hire them. The business dipshits did. I had to put up with them until I got them fired.
Great video! Just one question, why do you suggest data analyst instead of data scientist as a first job? Is it not true that data scientists have more overlap with machine learning engineers?
Thanks. The data science role is dead. Here, watch this. ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-14RPhvDN4uo.html Next, the machine learning engineer is the top job. There are ZERO entry level roles in machine learning, data engineering, DBA... anything else. If you don't have data (SQL) on your resume then you won't be working in machine learning. The DA is the only entry level role in existence. Here, please watch this. ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-QgORZ-sh9O4.html
Sure. We don't use Excel for anything other than moving files around. You will need to know the basics. For the interface, you can always focus on Tableau.
@@thedatajanitor9537 No, I am alright with using Excel for data loading and staff. I mean can I become a data analyst if I solely focus on programming for data manipulation and interpretation rather than using GUI tools like Power BI, Tableau etc. I just want to focus on programming with Python etc.
This need a 2024 update brav.. keep givng us good advice, how can we build a viable business on llama 3 or any open source llm? Give us some info on that.
Sir i am so much confused Can you help me Since you give honest advice I am currently on my last year bachelors of CS and wanting to get into MLE and data scientist . And i am learning math and have a good knowledge of python and its libraries what more should i learn and what should i not focus on.
Start watching my videos. They will tell you everything you need to know. The first and most important thing is... you have ZERO chance of getting a job in machine learning out of college. NOT GOING TO HAPEN. Start here: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-EhipwjY6GNs.html
What does that mean... I'm working in cloud infrastructure? What do you do? The answer is probably no. If you don't have 3 years of solid real-world SQL on your resume, you won't be working in any machine learning role any time soon.
@@thedatajanitor9537 I work on Oracle Cloud Infrastructure, AWS and deal with backups, Replication and Storage.. Thanks for your answer. Will try to get into an SQL job first, rather than jumping directly to ML.
Recently found your videos while I was looking for which of the two courses I should go through for the cert IBM ML engineer or Google Cloud ML engineer. But it seems like I need to go through powerBI first. I'm self taught so I did start with doing data (not because I knew that was the right choice but SQL seemed easy to grasp). Currently I'm 6-8 months into this ML path, built a few simple projects with openCV to recognize digits, NN for an algorithmic trading model but I'm honestly not sure where to go from here.
I'm not trying to land a job. It's for personal use. But I do want to go down the path of one. I just find ML the most interesting and might be able to apply the models to my own work one day. Your take is to take the data certs, get a job and build from there?@@thedatajanitor9537
Correct. You take a job learning how to work with data because all machine learning is data specific. You then learn machine learning and use your data skills to get an entry level role in machine learning.
I'm a college dropout, but I'm doing software engineering bootcamp, the circullum includes python, sql and data structures and algorithm, I def plan to transition to machine learning in future, do you think I can get machine learning job with no college degree but software engineer job exp??
Nope. Not a chance in hell. Good luck. You can't get one right now with a college degree or several college degrees. There are no entry level jobs in machine learning. Bootcamps are scams. That's ok, it's a great learning experience for you.
In the US, a college degree is now a requirement for any data roles. It's become an unspoken rule. After that, there are still no entry level AI roles. You'd need to start out as a data analyst.
@@thedatajanitor9537 how many years of experience would I need as a data analyst? also can take the software engineer path aswell as ive heard people do transition from that to ml
@@user-fx6fg9hl5p It's an entry level role so none. After you get the certs you can try to talk your way into a job. Once company see the certs they know you are driven and want to learn.
Hey, Great video, I was wondering which minor, data science vs. computer science minor is better to become a machine learning engineer. I know the minor itself doesn't matter, but the courses itself is what I'm trying to learn from, and choosing a minor would help me take those related courses. (can't major in CS or data science)
@@AliHaidar-zw1jx Your close. You don't collect data. The data is already collected. You just create dashboards and visualizations. Here, watch this. It will help. ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-fLsKBDjIr6U.html
Why? Aren't in charge of presenting the model to the business? Psst - Yes you are. What if the business wants their models in PowerBI? You are going to say... sorry... I can't do that I'm not technical enough?
