Essential Resources for Staying Updated in AI, Neural Networks, Machine Learning, Deep Learning & Big Data

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AI, Neural Networks

The world of Machine Learning is constantly evolving, and it can be challenging for professionals and researchers to keep up with the latest advancements. In this blog, we will explore a curated list of essential resources that can help you stay updated in the fields of AI, Neural Networks, Machine Learning, Deep Learning, and Big Data. From YouTube channels to newsletters and podcasts, these resources will provide you with valuable insights and keep you informed about the latest research and developments.

YouTube Channels

1. Yannic Kilcher

Yannic Kilcher’s YouTube Channel

Yannic Kilcher’s channel focuses on deep learning research papers, particularly in Natural Language Processing (NLP) and Computer Vision (CV). With a knack for explaining complex concepts in an engaging manner, Yannic provides detailed insights and analysis of cutting-edge research papers.

2. AI Coffee Break with Letitia

AI Coffee Break with Letitia’s YouTube Channel

Letitia Parcalabescu’s channel covers the latest updates in NLP and CV. Her visually appealing videos offer clear explanations of research papers, making it easy to grasp the discussed concepts. Letitia’s content is concise and accessible, making it suitable for both technical and non-technical audiences.

3. Two Minute Papers

Two Minute Papers YouTube Channel

Two Minute Papers, hosted by Károly Zsolnai-Fehér, provides concise overviews of research papers, focusing on the results rather than technical details. These short videos give you a quick glimpse into the key findings of various papers, helping you identify which ones to explore further.


1. The Batch

The Batch Newsletter by DeepLearning.AI

The Batch is a weekly newsletter by DeepLearning.AI, delivering the latest AI news, breakthroughs, and insights to your inbox. Curated by industry experts, this newsletter keeps you informed about the most significant advancements in the field.

2. Data Science Weekly

Data Science Weekly Newsletter

Data Science Weekly is a comprehensive newsletter covering articles, videos, books, job opportunities, and tutorials in the field of Data Science. It serves as a valuable resource for both aspiring data scientists and experienced practitioners.


1. Lex Fridman Podcast

Lex Fridman Podcast

The Lex Fridman Podcast features in-depth interviews with leading figures in various fields, including Nobel Prize winners, researchers, entrepreneurs, and more. Lex engages his guests in thought-provoking conversations, shedding light on their groundbreaking work and the challenges they’ve faced.

2. TWIML: This Week in Machine Learning

TWIML: This Week in Machine Learning Podcast

This Week in Machine Learning (TWIML) is a podcast that brings together experts in ML and AI to discuss the latest trends, research papers, and advancements. Hosted by Sam Charrington, this podcast provides valuable insights and perspectives from leaders in the field.

Additional Resources

In addition to the aforementioned channels, newsletters, and podcasts, here are some other essential resources to stay updated:

  • Papers with Code: A platform highlighting trending Machine Learning research papers along with their code implementations.
  • NLP Progress: A resource tracking progress in Natural Language Processing, providing an overview of tasks, datasets, and results.
  • Google AI Blog: Official blog by Google AI, sharing research advancements and insights.
  • Machine Learning Mastery: A website dedicated to helping developers excel in machine learning through tutorials, articles, and resources.
  • Berkeley Artificial Intelligence Research Group Blog: A blog featuring accessible research findings and insights from the BAIR group at UC Berkeley.
  • Arxiv-sanity: A platform for browsing, searching, and filtering arXiv papers, making it easier to discover relevant research.
  • Sebastian Ruder’s Newsletter: NLP-focused newsletter providing regular analyses of advances in natural language processing and machine learning.
  • DeepMind Blog: Blog by DeepMind, covering their latest AI research and developments.
  • OpenAI Blog: Blog by OpenAI, sharing updates on their AI research and initiatives.

By actively following these resources, engaging with the content, and participating in relevant discussions on platforms like Twitter and LinkedIn, you can stay at the forefront of AI and Machine Learning advancements.

Remember, continuous learning is key, and these resources will serve as valuable companions on your journey to mastering the evolving world of AI and Machine Learning.