Laxman Kumar

Coder | Gamer

[Laxman Kumar @lxmn___]

@ExideCare shared with you in a private message

[Laxman Kumar @lxmn___]

@ExideCare
Worst experience ever — the battery blasted during normal usage. Trash battery quality and zero responsibility by @ExideCare in service

@jagograhakjago @consumerforum_

[Laxman Kumar @lxmn___]

@ExideCare Worst experience ever — the battery blasted during normal usage. Trash battery quality and zero responsibility in service.

[Laxman Kumar @lxmn___]

@ExideCare Worst experience ever — the battery blasted during normal usage. Trash battery quality and zero responsibility in service.

[Laxman Kumar @lxmn___]

Learn cloud tech through hands-on training on #Qwiklabs!
#GCP #MachineLearning
https://t.co/2fbbdzQ8Hf

[elvis @omarsar0]

Best recent machine learning courses? Only courses that really helped you.

[Chanin Nantasenamat @thedataprof]

Here’s a cartoon illustration I’ve drawn a while back:
The #machinelearning learning curve

👀🧵👇 See thread below

[Santiago @svpino]

An introduction to Probabilities and Statistics like no other:

Seeing Theory: https://t.co/7d1n7UFtOi

Brown University.
Free.

This interactive website will take you through the concepts you need in machine learning.

[elvis @omarsar0]

I think this roadmap to build a better understanding of math for machine learning is well done.

My path was a bit different for advanced courses but the fundamentals were the same.

Great resource by @TivadarDanka.

[elvis @omarsar0]

🔥 New survey paper summarizing Transformer-based pre-trained models in NLP.

Another excellent read to get familiar with state-of-the-art machine learning approaches for NLP.

abs: https://t.co/6gLvPTBnHY
pdf: https://t.co/WDJzhmdkdx

[Atharva Ingle @AtharvaIngle7]

How to learn a Machine Learning algorithm?
Everything you need to consider while approaching to learn a #MachineLearning algorithm 👇

A thread 🧵

[Sahil Bloom @SahilBloom]

The interview process is ultra-competitive.

But with proper preparation, it is possible to stand out.

THREAD: 20 common interview questions, what they really mean, and how to nail them:

[abhishek @abhi1thakur]

🔥I'll be releasing walkthrough videos every day for @kaggle's 30 days of Machine Learning. The first video of the series will premiere soon. This series will be beginner-friendly! Link to Day-1: https://t.co/JdZHjcZnhp

[Chanin Nantasenamat @thedataprof]

Top 5 #Python libraries for creating #DataVisualization
👀🧵👇 See thread below

[Prashant @capeandcode]

Communication is crucial in data science projects.

I've been taking evening client calls every workday for the past ten months.

Here are some of the lessons I've learned: ↓

[Chanin Nantasenamat @thedataprof]

1/ #MachineLearning Crash Course by Google
- Free course
- Learn and apply fundamental machine learning concepts
- 30+ exercises
- 25 lessons
- 15 hours to complete
- Real-world case studies
- Explainers of ML algorithms

👀🧵👇 See thread below

[Patrick Loeber @patloeber]

My favorite Machine Learning Crash Courses

🧵👇

[Laxman Kumar @lxmn___]

Amazon SageMaker Technical Deep Dive Series https://t.co/zvKUFpQPD4 via @YouTube

[Santiago @svpino]

A good machine learning model is not only about performance.

In Kaggle competitions, that might be all you need. In real-life situations, it's just a factor to keep in mind.

Thread: How to choose a good machine learning model?