Gemini 1.5 Pro is now available with all new audio + video understanding and some new cool features. Read Blog Post Here
@TechInEthio
#Ai

Stanford University, Harvard University & Massachusetts Institute of Technology is providing free courses.💥
Click On to Access👇

1. CS50’s Introduction to Artificial Intelligence with Python (Harvard)


2. Data Science: Machine Learning (Harvard)


3. Artificial Intelligence (MIT)


4. Introduction to Computational Thinking and Data Science (MIT)


5. Machine Learning (MIT)

⚡️⚡️🌟🌟🌟
@TECHINETHIO
#Harvard #Stanford #MIT #ML #AI #Datascience

Web language and year they begin
@techinethio

Lack of customer data is major obstacle in reaping rewards of AI Readmore

@TechInEthio
#backend #frontend #programming

📚 9 Essential Books for Beginners in Machine Learning 🤖📖

Are you interested in diving into the fascinating world of machine learning? Here are nine highly recommended books that offer beginner-friendly introductions to machine learning concepts and techniques:

1. 📘 The Hundred-Page Machine Learning Book by Andriy Burkov: This concise guide provides a comprehensive overview of machine learning algorithms, concepts, and practical applications.

2. 📚 Machine Learning For Absolute Beginners by Oliver Theobald: A beginner's guide that introduces fundamental machine learning concepts and techniques in an accessible and easy-to-understand manner.

3. 💻 Machine Learning for Hackers by Drew Conway and John Myles White: This book focuses on practical applications of machine learning, showcasing real-world examples and demonstrating how to implement machine learning algorithms using popular programming languages.

4. 🖥️ Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Geron Aurelien: This hands-on guide teaches machine learning using popular Python libraries, providing practical examples and step-by-step tutorials.

5. 🧠 Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville: An in-depth exploration of deep learning techniques, covering neural networks, convolutional networks, recurrent networks, and more.

6. 📊 An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani: This book offers an introduction to statistical learning methods with a focus on applied aspects of machine learning, covering key algorithms and concepts.

7. 💡 Programming Collective Intelligence by Toby Segaran: A comprehensive guide that demonstrates how to use machine learning algorithms in practical scenarios, with examples focusing on social media, recommendation systems, and search engines.

8. 📈 Fundamentals of Machine Learning for Predictive Data Analytics by John D. Kelleher, Brian Mac Namee, and Aoife D’Arcy: This book provides a solid foundation in machine learning concepts, including data preprocessing, feature selection, and evaluation techniques.

9. 🌟 Machine Learning for Humans by Vishal Maini and Samer Sabri: A beginner-friendly introduction to machine learning that covers key concepts, algorithms, and practical use cases, without assuming prior technical knowledge.

Happy reading and exploring the exciting field of machine learning! 🚀
@TechInEthio
#books #programming #ai #recommendations

Udio an AI tech company just released a preview to show off their new technology that generates songs solely based on a text prompt.
Next level! udio.com
@TechInEthio
#news #ai

The only PHP and Laravel courses I would recommend are these free courses from Laracast.

You first learn modern PHP with this course
http://phpforbeginners.com

Then you learn Laravel with this course
http://laravelfromscratch.com

Done.

The only thing you ever need besides this is the Laravel official documentation for references, Laravel news to keep you up to date, and Laracon for inspiration.

🎙️ Techኢት Podcast Special Episode Announcement! 🎙️

Join us for a unique episode of the TechEth podcast as we delve into the fascinating journey of twin brothers, Yeabsira Ashebir (Technerd) and Natnael Ashebir (Design Guru).👨‍💻🎨

📅 Date : April 16th (Tuesday)
🕑 Time: 2:00 PM (Local Time)

In the first phase of the episode, we'll explore their remarkable journey, from their early beginnings to their current achievements in the development and design industry. Learn about the challenges they've faced, the milestones they've achieved, and the lessons they've learned along the way.

Phase 2: Q&A between the two; Yeabsira from the developer's side asks Natnael questions about design, and Natnael also asks Yeabsira about the developer's side. Techኢት will be the facilitator.

🎧 Livestream

Mark your calendars and join us for this special episode of the Techኢት podcast!

@techinethio
#TechPodcast #podcast