Master Data Science and Machine LearningMaster Data Science and Machine Learning
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Introduction

Machine learning and artificial intelligence are important because they can help researchers and developers pursue advances in various fields, such as engineering, energy, data science, and medicine, by creating predictive models, recommendation systems, self-driving cars, and diagnostic tools1. Machine learning is a technique that allows machines to get information that humans can’t, by spotting patterns and identifying anomalies in large quantities of data very quickly. Implementing artificial intelligence and machine learning may be a vital tool for any company seeking quantitative help in their decision-making since it can analyze vast quantities of data and spit forth trend directions and actionable suggestions. There are highly beneficial applications of machine learning. In education, for example, this innovation will enable personalized learning for all and is already enabling individualized learning.

There are many free resources available online for learning machine learning, data science and AI. Here are some of them :-

1. AI For Everyone

https://www.coursera.org/learn/ai-for-everyone

2. Machine Learning by Andrew Ng

https://www.coursera.org/specializations/machine-learning-introduction

 

3. ChatGPT Prompt Engineering for Developers

https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/

4. Harvard CS50

https://www.edx.org/course/cs50s-introduction-to-artificial-intelligence-with-python

5. Introduction to Machine Learning

https://developers.google.com/machine-learning/crash-course/ml-intro

6. Stanford CS 224N

7. Learn Prompting

https://learnprompting.org/

8. Introductory Machine Learning by Caltech

https://lnkd.in/eJBv9Ee6

10. Microsoft’s FREE courses in following areas: AI, IoT, Machine Learning, Data
Science:

A project-based pedagogy that allows you to learn while building!

1. Artificial Intelligence for Beginners
https://lnkd.in/e-AbF4Np

2. IoT for Beginners
https://lnkd.in/eyUy23if

3. Machine Learning for Beginners – A Curriculum
https://lnkd.in/ebzpcRX6

4. Data Science for Beginners
https://lnkd.in/eWi2VhAJ

11. Lex Fridman and Destiny argue about AI by Lex Fridman Podcast

https://lnkd.in/en3-aGc5

12. Generative AI Is About To Reset Everything, And, Yes It Will Change Your Life

https://lnkd.in/e9XzQQXb

13. Robotics by Crash Course AI

https://lnkd.in/efEXaSHG

14. Evolutionary Computation vs Reinforcement Learning vs Deep Learning

https://lnkd.in/eiUiSPDb

15. FREE Google Courses for AI Enthusiasts:

https://lnkd.in/eQMvsRTq

16. Venture Capital for Data Science by Super Data Science

https://lnkd.in/e4fPzh8i

17. AI and IoT Applications in the Present and Future by Joseph Berti from IBM

https://lnkd.in/e9mzH_Yj

18. Deep Learning Lectures by DeepMind x UCL

https://lnkd.in/eCTfpBkP

19. Introduction to Machine Learning at MIT

Introduction to Machine Learning | Electrical Engineering and Computer Science | MIT OpenCourseWare

20.  Machine Learning Crash Course with TensorFlow APIs

Machine Learning  |  Google for Developers

 

Plus, 74 more Free Resources:

https://lnkd.in/eSJUh_XV

Google LLM Courses

Introduction to Generative AI

 

An introductory level micro-learning course aimed at explaining:

 

– What Generative AI is

– How it is used

– How it differs from traditional ML

 

Check this out

https://www.cloudskillsboost.google/course_templates/536

 

Introduction to Large Language Models

 

The course explores:

 

– Fundamentals LLMs

– Their use cases

– Prompt engineering on LLMs

 

Check this out

Introduction to Large Language Models | Google Cloud Skills Boost

 

Introduction to Responsible AI

 

The course explains what responsible AI is, why it’s important, and how Google implements responsible AI in their products.

 

Check this out

Introduction to Responsible AI | Google Cloud Skills Boost

 

Introduction to Image Generation

 

This course introduces diffusion models, a family of ML models that recently showed promise in the image generation space.

 

Check this out

Introduction to Image Generation | Google Cloud Skills Boost

 

Encoder-Decoder Architecture

 

This course gives you a synopsis of the encoder-decoder architecture.

 

It’s a powerful and prevalent machine learning architecture for sequence-to-sequence tasks.

 

Check this out

Encoder-Decoder Architecture | Google Cloud Skills Boost

 

Attention Mechanism

 

The course teaches you how attention works & how it revolutionised:

 

– machine translation

– text summarisation

– question answering

 

Check this out

Attention Mechanism | Google Cloud Skills Boost

 

Transformer Models and BERT Model

 

This course introduces you to some of the most famous and effective transformer architectures!

 

Check this out

Transformer Models and BERT Model | Google Cloud Skills Boost

 

Create Image Captioning Models

 

This course teaches you how to create an image captioning model by using deep learning.

 

Check this out

Create Image Captioning Models | Google Cloud Skills Boost

 

 

Introduction to Generative AI Studio

 

This course introduces Generative AI Studio, a product on Vertex AI.

 

It teaches you to prototype and customize generative AI models so you can use their capabilities in your applications.

 

Check this out

Introduction to Generative AI Studio | Google Cloud Skills Boost

Langchain for LLM Development Application Development (Andrew Ng)

 https://learn.deeplearning.ai/langchain/lesson/1/introduction

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By Hassan Amin

Dr. Syed Hassan Amin has done Ph.D. in Computer Science from Imperial College London, United Kingdom and MS in Computer System Engineering from GIKI, Pakistan. During PhD, he has worked on Image Processing, Computer Vision, and Machine Learning. He has done research and development in many areas including Urdu and local language Optical Character Recognition, Retail Analysis, Affiliate Marketing, Fraud Prediction, 3D reconstruction of face images from 2D images, and Retinal Image analysis in addition to other areas.

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