I am new in TF community want to learn more

Hello, I am new I tf machine learning. Want to more knowledge about ml. Help me in this regards.

Hi @Vijay_Dandriyal,

welcome to Tensorflow and the community :tada:

I can highly recommend Tensorflow ML Education in the first step (…, free online courses, videos, books, math and a lot of fun).



Hi @Vijay_Dandriyal ,

Hello! Welcome to the world of machine learning and TensorFlow.

Here are some key concepts to get you started in your journey to learn machine learning:

  1. Supervised Learning : In supervised learning, the model is trained on labeled data, meaning the input data is paired with the correct output.
  2. Unsupervised Learning : Unsupervised learning involves working with unlabeled data. The goal here is to find patterns, structures, or relationships within the data without explicit target outputs.
  3. Neural Networks : Deep learning is a subset of machine learning that focuses on deep neural networks with many layers.
  4. Feature Engineering : This is the process of selecting, transforming, or creating features from the raw data that the machine learning model will use for training. Good feature engineering can significantly impact the model’s performance.
  5. Model Evaluation : Once a model is trained, it’s important to evaluate its performance using metrics appropriate for the task at hand.
  6. Training, Validation, and Testing : The dataset is usually divided into these three subsets. The training set is used to train the model, the validation set helps tune hyperparameters and prevent overfitting, and the testing set evaluates the model’s final performance.
  7. Transfer Learning : Transfer learning involves using a pretrained model (often on a large dataset) as a starting point and fine-tuning it on a smaller, task-specific dataset. This can save time and resources.
  8. Explore TensorFlow Documentation and Tutorials
  9. Here is the github repo for official models where you can check all the project details and there are multiple checkpoints are available to use it in your day-to-day learning phase,if you find any bug in the code/documentation, you can log an issue in github as well.

Remember, machine learning is a vast field, so take it step by step, practice, and don’t hesitate to ask questions when you encounter challenges. Good luck on your learning journey!


1 Like

Thank you Denis and Laxma_Reddy…, I joined course about foundation of google advance data analytics by google Coursera.

I have experienced work with excel., SAP, Seibel ( CRM based software as user to system admin level.

But now the real word seanario change day by day and I got learn about more and more knowledge in some resource like YouTube, some programming language entry level (like python, Statics in Excel, dbf,mbd, MySQL, CSV, mongodb, etc.

Help me I want work as freelancer in some project web designing , devlopment, consulting about information technology and data science.

Thank you :pray: