🔍 Exploring Machine Learning, AI, GenAI, and LLMs. Stay updated with trends, insights, and tutorials. Elevate your data science journey with us! #ML#AI#GenAI
Top Data Science, ML, AI and DL courses from Coursera, DataCamp and top universities.
1. Machine Learning: https://t.co/da38W24Yo0
2. Deep Learning: https://t.co/N6lE40ftsA
3. NLP: https://t.co/Fvqpzslhge
Top Data Science, ML, AI and DL courses from Coursera, DataCamp and top universities.
1. Machine Learning: https://t.co/da38W2n7C8
2. Deep Learning: https://t.co/N6lE40xCGI
3. NLP: https://t.co/awuXy9uCkX
GenAI tools are yet to become production strong for many fields/industries.
Another point, the usage % between a coder and a system admin will vary a lot!
Over the time it will increase across all fields.
This didn't age well I guess, now Chatbots are most important and essential part of any website with intelligence beyond one would have thought.
Good going!!
What are some great bots you have interacted on any website or portal?
Would love to explore them, I haven't seen any fully functional and intelligent bot till now even on big websites.
What are some great bots you have interacted on any website or portal?
Would love to explore them, I haven't seen any fully functional and intelligent bot till now even on big websites.
With just one month to go until the next iteration of the FSDL course, we think it's high time to bring back
🛠️ Tooling Tuesday 🛠️
and focus on some of the new tools we're bringing in for the 2022 version of the course.
This will serve as a Thread of Threads.
We're already at nearly 120 students registered for this summer's synchronous FSDL cohort!
We recommend registering soon if you want a spot in the cohort 😃
https://t.co/IKp0jGcHYS
Someone pointed me to Sagemaker StudioLab from @awscloud .
It looks great, an alternative to Google Colab.
Free, CPU and GPU tiers:
https://t.co/k3qw6m5HZM
Many professionals reach out to me regarding switching to ML careers. It can be quite difficult given how competitive the field is and especially when you’re in a job requiring ML expertise. So, how one can build a relevant profile here?
Sharing my bits:
https://t.co/u3o2Z1xciW
🎓 Getting Started with Transformers
Transformer is one of the most important concepts in ML and NLP today. I created this guide for students that want to get started with transformers.
https://t.co/sIANvrdoU6
A free Deep Learning course using Pytorch and starting at the very beginning.
Includes some cool stuff:
• Transformers
• Generative models
• Self-supervised learning
Check the attached overview.
https://t.co/e5kIcdv64u
Having a baseline model gives a better picture for futher steps.
AutoML(much powerful than just for baseline) such as PyCaret and @h2oai can be one way to build your first simple baseline with minimum code.
A common mistake that people starting with machine learning make:
They start building a model without defining a baseline first.
You need something simpler first. Even if manual or random. Only then you should start building a model.
Just found this amazing Data Set on Kaggle. It has almost all the things you will ever need for data science starting from maths and stats to ml, dl, docker, git, etc.
Total 251 files:
194 pdfs
23 images
34 in another format
https://t.co/iuEHLiFov9
RT @hubofml: RT @awscloud: The machines are taking over. 🙃 Join us as we showcase the many ways #AWS AI & #MachineLearning are helping our customers innovate, accommodate, calculate, & motivate to drive their businesses forward. 🔗 …
RT @xaelbot: RT @avikumart_: Day 14 of #100DaysOfCode ML series:
>> Support vector machine is one of the most important classification algorithms🐍🤖👍
>> SVM's implementation in python is very much easier to grasp (SEE BELOW👇)
#Python#MachineLearn…
RT @hubofml: RT @avikumart_: Day 14 of #100DaysOfCode ML series:
>> Support vector machine is one of the most important classification algorithms🐍🤖👍
>> SVM's implementation in python is very much easier to grasp (SEE BELOW👇)
#Python#MachineLearn…