#Developers, the ones who move first are already ahead of you.
While you are reading this, developers across India are registering for @AMD AI Engage, picking up their problem statements, and getting to work. This is not a workshop. This is not a webinar. This is a live challenge where your skills either show up or they do not, and the best in the country will be in that room.
The window is open. It will not stay that way. Register now.
Register here: amd-ai-engage.machinehack.co…#AIChallenge#MachineLearning#DeveloperCommunity#AIIndia#MachineHack#AMDAIEngage
Breaking into #DataScience? Your
portfolio is your real resume 🚀
Build it on these free #platforms
recruiters actually check:
• GitHub
• Kaggle
• LinkedIn
• Medium
• MachineHack
• DagsHub
• Hugging Face
Strong projects = strong chances.
Ship. Share. Get hired. 💼📊
Groq has partnered with @JoinMachinehack to launch a 45-day hackathon focused on real-time multi-agent AI systems. Participants will design agents across domains like healthcare, finance, sustainability, and more — with the chance to win API credits, mentorship, and global recognition.
📖 Read our full article to explore the challenge details, tracks, and rewards.
🔗 Link in comments.
@GroqInc#GroqHackathon#RealtimeAI#MachineHack
学习 AI 的 57 个免费资源大全:
(别忘了收藏🔖)
1. AI 相关的 YouTube 频道 🎥
- Analytics Vidhya
- Alex The Analyst
- Lex Fridman
- Corey Schafer
- 3Blue1Brown
- Sentdex
- StatQuest with Josh Starmer
- Two Minute Papers
2. AI 相关的博客网站 📝
- machinelearningisfun. com
- kdnuggets. com
- towardsdatascience. com
- machinelearningmastery. com
- openai. com/blog
- distill. pub
- analyticsvidhya. com
- ai. googleblog. com
- fastml. com
- towardsai. net
3. 数据集网站 📊
- OpenML
- Microsoft Azure Open Datasets
- Google Cloud AI Platform Datasets
- UCI Machine Learning Repository
- Papers with Code
- Amazon SageMaker Open Data Registry
- Kaggle
- MachineHack Datasets
- Hugging Face Datasets
- OpenMLDB
4. 免费 AI 课程网站 📚
- classcentral. com
- mygreatlearning. com
- udacity. com
- ai. google
- edx. org
- freecodecamp. org
- pll. harvard. edu
- deeplearning. ai
5. Google 的顶级课程 🔥
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning(TensorFlow 人工智能、机器学习和深度学习入门)
- Natural Language Processing with TensorFlow(TensorFlow 自然语言处理)
- AI for Everyone(人人都能学 AI)
- Fundamentals of Reinforcement Learning(强化学习基础)
- Building TensorFlow Lite Applications(构建 TensorFlow Lite 应用)
- Generative Adversarial Networks (GANs)(生成对抗网络)
- Machine Learning Crash Course(机器学习速成课)
- Elements of Artificial Intelligence(人工智能要素)
6. Microsoft 的顶级课程 💻
- Building AI Solutions on Azure(在 Azure 上构建 AI 解决方案)
- Machine Learning for Beginners(机器学习入门)
- AI for Beginners(AI 初学者指南)
- Azure Machine Learning Essentials(Azure 机器学习基础)
- Introduction to Artificial Intelligence(人工智能导论)
- Transform Your Business with AI(用 AI 改变你的业务)
- Responsible AI(负责任的 AI)
- Azure AI Fundamentals(Azure AI 基础知识)
- Career Essentials in Generative AI(生成式 AI 的职业基础)
希望这些资源对你有帮助!✨
转发并分享给你的朋友,帮助他们提升 AI 技能! ♻️
Top 57 FREE resources to learn AI:
(Don't forget to bookmark)
1. YouTube Channels for AI 🎥
• Analytics Vidhya
• Alex The Analyst
• Lex Fridman
• Corey Schafer
• 3Blue1Brown
• Sentdex
• StatQuest with Josh Starmer
• Two Minute Papers
2. Blog Websites for AI 📝
• machinelearningisfun. com
• kdnuggets. com
• towardsdatascience. com
• machinelearningmastery. com
• openai. com/blog
• distill. pub
• analyticsvidhya. com
• ai.googleblog. com
• fastml. com
• towardsai. net
3. Websites for Datasets 📊
• OpenML
• Microsoft Azure Open Datasets
• Google Cloud AI Platform Datasets
• UCI Machine Learning Repository
• Papers with Code
• Amazon SageMaker Open Data Registry
• Kaggle
• MachineHack Datasets
• Hugging Face Datasets
• OpenMLDB
4. Websites for Free AI Courses 📚
• classcentral. com
• mygreatlearning. com
• udacity. com
• ai. google
• edx. org
• freecodecamp. org
• pll.harvard. edu
• deeplearning. ai
5. Top Courses from Google 🔥
• Introduction to TensorFlow for Artificial Intelligence,
• Machine Learning, and Deep Learning
• Natural Language Processing with TensorFlow
• AI for Everyone
• Fundamentals of Reinforcement Learning
• Building TensorFlow Lite Applications
• Generative Adversarial Networks (GANs)
• Machine Learning Crash Course
• Elements of Artificial Intelligence
6. Top Courses from Microsoft 💻
• Building AI Solutions on Azure
• Machine Learning for Beginners
• AI for Beginners
• Azure Machine Learning Essentials
• Introduction to Artificial Intelligence
• Transform Your Business with AI
• Responsible AI
• Azure AI Fundamentals
• Career Essentials in Generative AI
Looking for a high-res version of this list? Comment "Send"
Hope you find these resources helpful! ✨
Repost to share with your network to help them level up their AI ! ♻️
#AI#MachineLearning#FreeAIResources
Correct. Why do you think Flynn wants to 'Guard the Vote'? Why do you think trump team collected all that voter data from GA, AZ & other states in 2020?It's no longer #MachineHack, it's #VoteHack.
In India, AI startups first appeared in 2016. Over the next two years, the AI startup industry will experience astounding growth. A recent report states that Bengaluru, India’s startup hub, received funding for $87.85 million for the AI sector.
Zoho
ElasticRun
Mockey.ai
PhishGrid
Rephrase.ai
MachineHack
Yellow.ai
Blend
Haptik.ai
Uptrain AI
Here's an exciting opportunity to win a cash prize of ₹1,00,000! @_BHASHINI, in collaboration with @GoogleCloud_IN and MachineHack Generative AI, invites you to be part of the "Bhasha Techathon"
Register now for a chance to win the grand prize 👉 lnkd.in/dUwuMAkM
3. MachineHack
MachineHack is an online platform for Machine Learning Hackathons where one can test and practice their machine learning skills.
If you are new to the field, you can use the sample datasets to learn about different ML algorithms.
👉 machinehack.com
I am very sure that I have participated in a Hackathon at 1 time feature in 15 different platforms. Kaggle, Zindi, AnalyticsVidhya, Segmind, MachineHack, AIcrowd, AIPlanet, BitGrit,MadiroHack,Quiveco, Hackerearth,DiceyTech,CrunchDao,RocketCapital, Hymun.ai.
Top Platforms for Building Data Science Portfolio
Build an irresistible portfolio that hooks recruiters with these free platforms.
1. GitHub
2. Kaggle
3. LinkedIn
4. Medium
5. MachineHack
6. Weights & Biases
7. DagsHub
8. DataSciencePortfol
9. HuggingFace