If you have a background in machine learning, you can become a Machine Learning Engineer, Natural Language Processing (NLP) Scientist,Data Scientist, Human-Centered Machine Learning Designer or Business Intelligence Developer. In recent years, the demand for machine learning specialists has risen, wit...
If you have a background in machine learning, you can become a Machine Learning Engineer, Natural Language Processing (NLP) Scientist,Data Scientist, Human-Centered Machine Learning Designer or Business Intelligence Developer. In recent years, the demand for machine learning specialists has risen, wit...
If you want to practice building machine learning models without the hassle of generating or labeling data, Kaggle is the best place for you. Furthermore, the notebooks section of Kaggle allows users to share their codes and models, which serve as a great learning resource. I highly recommend...
As a professional in technical learning, this course is one of my favorites. If you are interested in full training in Machine learning, Machine Learning with TensorFlow on Google Cloud is highly recommended because of what you will gain. This course will give you an insight into what machine ...
I sat down with a blank page and asked the really hard question of what are the very best libraries, courses, papers and books I would recommend to an absolute beginner in the field of Machine Learning. I really agonized over what to include and what to exclude. I had to work hard to...
Read research papers, try Kaggle contests, watch ML tech talks, build cool projects, talk to others interested in ML, never stop learning, and most importantly, have fun! :) This is a great time to get into ML and in the rush to gain knowledge as quickly as possible, it often good ...
Anyone can do Machine LearningTeachable Machine Train a computer to recognize your own images, sounds, & poses. A fast, easy way to create machine learning models for your sites, apps, and more – no expertise or coding required.MOOCs
Kaggle: 13,321 themed datasets on “Facebook for data people” Kaggle, a place to go for data scientists who want to refine their knowledge and maybe participate in machine learning competitions, also has adataset collection. Registered users can choose among 13,321 high-quali...
Start using beginner-friendly deep learning frameworks like TensorFlow or PyTorch. Follow tutorials to build and train simple models. 7. Work on Small Projects: Apply your knowledge to small, achievable projects. For example, create a chatbot or a basic language model. ...
Intro to Deep Learning with PyTorch aims to teach you the basics of deep learning, and build your own deep neural networks using PyTorch. You’ll gain practical experience building and training deep neural networks through coding exercises and projects. And you’ll implement state-of-the-art AI...