Workshop

Types of DATA

https://www.geeksforgeeks.org/ml-introduction-data-machine-learning/

Processing DATA

https://www.altexsoft.com/blog/datascience/preparing-your-dataset-for-machine-learning-8-basic-techniques-that-make-your-data-better/

GitHub

https://gist.github.com/ericmjl/27e50331f24db3e8f957d1fe7bbbe510

Stepwise Process

https://machinelearningmastery.com/machine-learning-in-python-step-by-step/

Data Wrangling

analyticsvidhya.com/blog/2021/08/lets-understand-all-about-data-wrangling/

Classification , Clustering etc

https://www.geeksforgeeks.org/ml-classification-vs-clustering/

Predictive Analytics

https://marutitech.com/predictive-analytics-use-cases/

Computer Vision

https://www.geeksforgeeks.org/computer-vision-projects/

Natural Language Processing [ NLP ]

https://www.knowledgehut.com/blog/data-science/nlp-projects

Generative AI

https://www.kdnuggets.com/2023/08/7-projects-built-generative-ai.html

Coding Examples / Google Colab

https://colab.research.google.com/github/tensorflow/text/blob/master/docs/tutorials/classify_text_with_bert.ipynb#scrollTo=y8_ctG55-uTX

https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/structured_data/time_series.ipynb

https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/video/video_classification.ipynb#scrollTo=gg0otuqb0hIf

https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/generative/adversarial_fgsm.ipynb

Model Testing & Training

https://medium.com/@bragadeeshs/surfing-the-data-wave-with-neptune-ai-installation-integration-and-data-analytics-mastery-b81d06453201

ML Pipeline

https://www.altexsoft.com/blog/machine-learning-pipeline/

Production Tools

Google : https://ai.google/build/machine-learning Google ML Kit : https://developers.google.com/ml-kit

Amazon SageMaker : https://aws.amazon.com/sagemaker/

Big Data

Apache Spark : https://spark.apache.org/

Real Time Analytics : https://www.singlestore.com/

MLaaS / Cloud Services

Azure : https://azure.microsoft.com/en-us/solutions/ai/

Resources : Online

https://arxiv.org/archive/cs

Papers with Code : https://paperswithcode.com/sota

GitHub : https://github.com/

Medium : https://medium.com/

KD Nuggets : https://www.kdnuggets.com/

ML Mastery : https://machinelearningmastery.com/

Geeks for Geeks : https://www.geeksforgeeks.org/

Competitions + Learning

Kaggle : https://www.kaggle.com/competitions

Driven Data : https://www.drivendata.org/competitions/

Courses

Coursera : https://www.coursera.org/specializations/deep-learning

Edx : https://www.edx.org/

Udemy : https://www.udemy.com/

Udacity : https://www.udacity.com/

Books :

Subscribe :

OREILLY : https://www.oreilly.com/products/books-videos.html

MANNING : https://www.manning.com/

Marc Peter Deisenroth : Mathematics for Machine Learning

Andriy Burkov : The Hundred-Page Machine Learning Book

Aurélien Géron : Hands-on ML with Scikit-Learn, Keras & TensorFlow

Yoshua Bengio , Ian Goodfellow : Deep Learning

Kevin Murphy : Probabilistic Machine Learning: An Introduction https://probml.github.io/pml-book/book1.html

Books by Charu C Agarwal

Trevor Hastie : Statistics Books

Individuals : Andrew Ng : https://www.andrewng.org/

Andrej Karpathy : https://karpathy.ai/

Getting Hired

Qualification : Masters + , GithHuB , Networks , Extra Certificates : Google ML Engineer ,Personnel Blog

Continuous Updation , Mastery + Up Skilling + Intuition