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Galaxy Inferno Codes
Добавлен 27 июн 2021
Machine Learning Engineer: Day in the life | Learning MLOps on Databricks & balancing daily work
Watch me try to balance taking a course to extend my MLOps skillset, a newly addictive gaming hobby (it was Factorio release week and I underestimated how distracted I would be), and my daily tasks as a machine learning engineer.
With this video, I wanted to show roughly what I'm learning in the area of MLOps (the link is below) and show realistic progress. Sometimes (most of the time), we don't understand something right away and it takes multiple times to finally set up the environment correctly and organize a good workflow between local dev and cloud environment etc.
... I would say I did "okay" 🙃
Disclaimer: I have very flexible work hours, as long as I work my ~40 hours per week and a...
With this video, I wanted to show roughly what I'm learning in the area of MLOps (the link is below) and show realistic progress. Sometimes (most of the time), we don't understand something right away and it takes multiple times to finally set up the environment correctly and organize a good workflow between local dev and cloud environment etc.
... I would say I did "okay" 🙃
Disclaimer: I have very flexible work hours, as long as I work my ~40 hours per week and a...
Просмотров: 4 354
Видео
My Part-Time Machine Learning Study Plan for April: Transformers and Outlier Detection
Просмотров 662Год назад
This month I’m back to sharing my goals online to hold myself accountable and to inspire you to set achievable regular goals. Use this as inspiration for goal setting or to discover interesting resources, like papers and websites. Also for anyone new: I work as a Data Science Consultant currently, here is an "About me": galaxyinferno.com/about-me/ Things mentioned in this video: Beginner transf...
client meetings, learning to delegate tasks, snow day | Data Scientist: Day in the Life
Просмотров 346Год назад
Follow me around for two days and get some insights into what a Data Scientist does besides cleaning data ;) I'm a Data Science Consultant, so the company I work for advises other companies how to set up their data infrastructure and also helps them implement DS/ML projects. This is about 6 months into a ML prototype project where we are working with a small team of 2 Data Scientists and 1-2 Da...
What I learned during my 14 Days Data Science Project Challenge
Просмотров 230Год назад
To combat overthinking and never starting and even worse, never finishing due to procrastination, I set myself a challenge. Find the announcement blog post with all details here: galaxyinferno.com/jan23-frauddetection-challenge-announcement/ If you want access to the GitHub repository and all the mentioned email updates (including code snippets, links to libraries, interesting visualizations an...
How to get started with ML: Write your own personal Roadmap for Machine Learning
Просмотров 420Год назад
I often get asked “How do I get started with Machine Learning? What do I learn first?” and I really want to help out, but there is a big problem here: I think this is the wrong question to ask. In this video I give some recommendations on how you can make sure you get an ideal start into the ML world :) This includes advice on how long and how often you should probably study and some tips on ho...
vlog: achieving my monthly Machine Learning goals - reading SHAP research paper and coding scala
Просмотров 302Год назад
Follow along as I try and make dreams come true... or in this case achieve the self-study goals I optimistically set earlier this month, and which are in danger of not being fulfilled (again). I tend to set too many goals and never achieve them and I'm on a journey of trying to figure out how to still study and improve next to my 9-5 job. If you're also into self-studying either as a hobby or t...
Advent Of Code, Christmas Party and being kind to myself| Vlogmas Day 3-5
Просмотров 320Год назад
Follow me around for three days and get some insights into what a Data Scientist does on the weekend ;) I'm a Data Science Consultant, so the company I work for advises other companies how to set up their data infrastructure and also helps them implement DS/ML projects. Right now, I'm on a small team doing an anomaly detection project. During December, I will be vlogging everyday (and upload ev...
Feature Engineering in Data Science Project, new Advent Of Code and fighting CSS | Vlogmas Day 1 & 2
Просмотров 243Год назад
Follow me around for one day and get some insights into what a Data Scientist does besides cleaning data ;) I'm a Data Science Consultant, so the company I work for advises other companies how to set up their data infrastructure and also helps them implement DS/ML projects. Right now, I'm on a small team doing an anomaly detection project. During December, I will be vlogging everyday (and uploa...
Preparing for a new DS consulting project, ML course recs | Data Scientist: Day in the Life
Просмотров 4712 года назад
Follow me around for one day and get some insights into what a Data Scientist does besides cleaning data ;) I'm a Data Science Consultant, so the company I work for advises other companies how to set up their data infrastructure and also helps them implement DS/ML projects. Right now, we're getting started with a new project soon, which means doing research on the new topic and getting all the ...
Kaggle, Trees and more | August Machine Learning Study Goals
Просмотров 4192 года назад
August update link: TBD My july goals were really successful (video here: ruclips.net/video/GJbm4EMlsnM/видео.html), so I want to set monthly study/learning goals again for August to help motivate myself. And sharing them with you gives me accountability and might help you set study goals for yourself :) Also for anyone new: I work as a Data Science Consultant currently, here is an "About me": ...
My daily tasks, tools used, meetings had, ... | First Project as a Data Science Consultant
Просмотров 4212 года назад
I just finished my first client project as a Data Science consultant in a IT consulting company at the end of June and in this video I wanted to tell you what my daily tasks were, how many meetings I had, what skills I needed, what programming languages we used etc My Background: I studied a BSc in Math, another BSc in Computer Science and then a Masters in Computer Science with a focus on Mach...
How to build a Decision Tree Classifier with Python and Plot it | Coding Tutorial
Просмотров 3,3 тыс.2 года назад
Despite being a channel about ML & Data Science, this seems to be only my 2nd video with code, so be nice :D I guess you could say this is also a "revise with me" video like my last k-means one, except in this one about Decison Trees I focused only on the code and less about the theory to keep it shorter. I might do another one on how the decision-splits are made talking about entropy and stuff...
Improving at Machine Learning as a Data Scientist | July Goals
Просмотров 4462 года назад
UPDATE on my success/progress: galaxyinferno.com/machine-learning-study-plan-for-july-2022/#update-after-the-month After failing at my 100DaysOfDataScience, I'm trying a different approach of monthly goal setting and in this video, I tell you what I have planned for July and how I want to improve at Machine Learning :) Also for anyone new: I work as a Data Science Consultant currently, here is ...
Data Scientist: Day in the Life | Last week of client project & data warehouse fun
Просмотров 9622 года назад
Follow me around for one day (okay, I work from home, so the following is limited space-wise) :) With this vidoe, I want to share what my days look like currenly while in a consulting project as a Data Scientist and answer questions like "How many meetings do you have per day?" and "How much freedom do you have with your work times?". These all differ depending on project etc, but now you have ...
Validation data: How it works and why you need it - Machine Learning Basics Explained
Просмотров 17 тыс.2 года назад
Validation data: How it works and why you need it - Machine Learning Basics Explained
How to present data in context - Storytelling with Data Chapter 1 Review
Просмотров 5362 года назад
How to present data in context - Storytelling with Data Chapter 1 Review
Matrix & Vector Multiplication explained | Linear Algebra Basics for Machine Learning
Просмотров 7542 года назад
Matrix & Vector Multiplication explained | Linear Algebra Basics for Machine Learning
Scalars, Vectors, Matrices, Tensors, etc explained | Linear Algebra Basics for Machine Learning
Просмотров 4,7 тыс.2 года назад
Scalars, Vectors, Matrices, Tensors, etc explained | Linear Algebra Basics for Machine Learning
My Experience as a Data Science Consultant - First 2 months
Просмотров 8512 года назад
My Experience as a Data Science Consultant - First 2 months
How to learn more Data Science #100DaysOfDataScience
Просмотров 1,6 тыс.2 года назад
How to learn more Data Science #100DaysOfDataScience
First work day as a Data Scientist | Day in the Life
Просмотров 1,8 тыс.2 года назад
First work day as a Data Scientist | Day in the Life
Writing my Computer Science Master's Thesis | Student Vlog
Просмотров 3,8 тыс.3 года назад
Writing my Computer Science Master's Thesis | Student Vlog
K-Means Clustering Algorithm Tutorial | Theory + Code on the Iris Dataset | Revise with me
Просмотров 3,9 тыс.3 года назад
K-Means Clustering Algorithm Tutorial | Theory Code on the Iris Dataset | Revise with me
Day In the Life of a Computer Science Student | Writing Master Thesis | VLOG
Просмотров 2,5 тыс.3 года назад
Day In the Life of a Computer Science Student | Writing Master Thesis | VLOG
What fascinates me about Deep Learning | How does Generalization work?!
Просмотров 4703 года назад
What fascinates me about Deep Learning | How does Generalization work?!
Epochs, Iterations and Batch Size | Deep Learning Basics
Просмотров 47 тыс.3 года назад
Epochs, Iterations and Batch Size | Deep Learning Basics
How to Read and Summarize Research Papers | Machine Learning & Deep Learning
Просмотров 24 тыс.3 года назад
How to Read and Summarize Research Papers | Machine Learning & Deep Learning
5 FREE resources for Deep Learning Beginners
Просмотров 1,2 тыс.3 года назад
5 FREE resources for Deep Learning Beginners
have u read any ML books?
Me aspiring for data scientist 😅
I know this is real day in life as does not include Gym session
😂 it instead included 3am gaming sessions, I promise this is as real as I dared to post online, my sleep was a mess and I probably would have fallen asleep in the gym
I m biggner I jst has started programming completed cs 50 ... I wnna go in MLops filed also Quant trading....HFTs... Can u gave some ans of ques cz I m really confused...... currently n doing nothing cz of that here are some ques hope u can help 🥺.... 1 - I m not confident so should I start with web dev or data analyst......I m thinking of going to play safe and go for web dev then dev ops data analyst...... Or it would be a bad decision n my time will waste ...... That's it the only thing is holding me is that ...... N if u can tell me in which way I should do it like wt I do first then after then after 🥲........if u can buy pls reply for the first question.....?
Hello from South Korea :) I know it's a late video for me to watch, but thank you for sharing your valuable learning journeys on your company. Time Series..Plotly..Azure..I'll keep that in mind to be more qualified to catch the Data Science job because I don't come from CS or Math majors.
Why you did transition from DS to ML??
I love data science, but I wanted to work more on the production side. I spent a lot of time building prototypes, which is exciting, but I also wanted to acquire the skills for bringing these models into production and making them “work in the real world” 😊 I also have a computer science background and found the engineering side of things very interesting, so this seemed like a logical progression (sorry this response sounded a lot like a job interview answer 😅)
Be kind... I hope you succeed.
Thank you 🙏🏻
👏❤✨
my youtube feeds always showing rich person daily life
😂 I’m sorry. Locally I’m not that rich but being able to work from home in tech is definitely a nice privilege and a comfortable position, that’s true 🙂
it's been a long time
😬 yeah, I kind of got discouraged at some point and was in a bit of a rough place, but willing to give it another try to show authentically what the job can look like etc.
@@GalaxyInfernoCodes Love the environment and good part is you are doing great. I will make sure on your every video will post to give sense of purpose of keep moving in life with humble.
Nice video 😄
Thank you 😊 gave my best to disguise my Factorio addiction in editing
👏🏽✨
Really Effective
thnks i,m from indonesian, i like your video.
holy great
Best video ever in regard to this content! Love it!
Hey ... I am preparing for data scientist could you please help me for preparation. Is it possible to get your mail id?
讲得好！good！
@5:02, what are the x and y axis representing. I'm pretty sure the y-axis is loss but x-axis?
Could you share a timeline of your thesis, from research proposal till submission. TIA.
You go girl!
Are you german?
thanks maam
I still do not get the difference between validation and test data... validation data is also a new set of data for the model right. which it has never seen before. so is test data. the result of the validation and test data will be more of less the same. As I've understood test data is just a 2nd layer of testing after validation data. is that correct ?
i have same thoughts with you. validation data is used for determining the best model to use after we train the data with different models. then we checked again that model with the test data to make sure if it is actually good or not. like double check. anyway, still a little confusing to me.
So it can be confusing but the real difference lies when you are not training and testing the model once. This might happen in a case where you are doing hyperparameter tuning where your training and testing data might get exposed to the model multiple times. But you hold out validation set till the end once the model is finalise and you figured out the hyperparameters you test it on validation to be sure that it is consistent with the test set. This is done because there is a chance in the process of tuning the model it actually starts remembering the training and testing sets and the performance improvement you are seeing will not be generalisable to new unseen datapoints.
Hey! I began following you very early on, I think when you were wanting to do the 100 days of code? I was going through my subscriptions and noticed you have not uploaded in a while! Where'd you go?!
Yeahhh sooo, I had a creative breakdown but I just uploaded another vlog? 😅🤷🏻♀️ still not totally sure what this channel will be, but i want to give it another try 👀🤞🏻
@@GalaxyInfernoCodes Hey there :) No worries! Glad to see you are coming back though. What are some of the ideas you are considering for this channel? I will check out your vlog!
Great explanation!
Whoah .... you just saved me. Thank you so much for this videos and your recommendations.
this was very helpful, thank you :)
What are some good resources to find quality/interesting ML research papers?
Wow, thanks. How’s things going?
teacher can you share this presenantion?
Oh my God, how beautiful can someone be
🎯 Key Takeaways for quick navigation: 00:00 📜 *Quick Method for Research Paper Reading* - Start with the title, authors, and abstract. - Look for keywords in the abstract that provide context. - Pay attention to the introduction for an overview of the topic. 03:37 🧐 *A Deeper Dive into Research Paper Reading* - Read the entire paper multiple times. - Make notes in your own words to understand concepts. - Skip complicated proofs initially and focus on understanding. - Be cautious of lengthy appendices, usually containing mathematical proofs. 08:17 🤔 *Reflection and Summarization* - Identify three to five main concepts or statements from the paper. - Create a mind map to visualize connections between concepts. - Determine the main goal and motivation of the paper. - Use thisunderstanding to create engaging presentations or written summaries. Made with HARPA AI
8:15 to presentate!🤔😂
Super clear
amusing, please continue making vlogs... waiting for your next vlogs. 💌
Those eyes are lovely
UNDERSTOOD 😊
also just a question when you add un-even matrices doesn’t that cause some kind of imbalance in the resulting matrix?
hmmm, lady you listen to me, you good at dis, thank you
Thanks Idris italy
You are doing great. Keep it UP!
Nice presentation
Great video! Thanks for sharing!
hello a question your name is Natalia
No, what gave you that idea? 😅 at 0:36 I literally introduce myself as Sarah. I promise that is my real name lol
Te pareces a una amiga Su nombre es Natalia Benavides
Really nice video, clear explanation. Thank you ;)
well explained. saved my life
I am reading a research paper namely "Electric Energy consumption Prediction of a Small/Medium business: A Machine Learning Approach" and it discusses the efficiency of several ML models to predict the same using feature engineering. How can I frame the correct research question to this paper. Is it (1) How efficient is Machine learning in predicting Electric Energy consumption in Small/Medium business ? or (2) What is the impact of number of Workstations and lights/ environmental factors in Small/Medium business ? how to write hypothesis
Nice guidance ! Thanks
Love the format of this video! Thanks! CHeers :)
Thank you ☺️