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#CodeItQuick
Follow me on LinkedIn: [ Ссылка ]
Follow me on Twitter: [ Ссылка ]
Follow me on GitHub: [ Ссылка ]
Community on Discord: [ Ссылка ]
The Code: [ Ссылка ]
TensorFlow Documentation: [ Ссылка ]
Looking to become a data scientist? I'd follow this roadmap:
Step 1: Begin Your Data Science Journey
IBM Data Science Professional Certificate: [ Ссылка ]
Step 2: Machine Learning Fundamentals
Andrew Ng / Stanford University Course: [ Ссылка ]
OR
University Of Washington ML Specialization: [ Ссылка ]
(Optional) Step 2a: If You Want To Learn ML Math
Imperial College London Math For Machine Learning: [ Ссылка ]
(Optional) Step 2b: If You Want To Master Programming
Stanford University Algorithms Specialization: [ Ссылка ]
Step 3: Deep Learning Fundamentals
Andrew Ng Deep Learning Specialization: [ Ссылка ]
Step 4: Apply Your ML Skills
TensorFlow Deep Learning Specialization: [ Ссылка ]
Step 5: Move To The Cloud
Amazon Web Services Data Science Specialization: [ Ссылка ]
OR
Google Cloud Big Data & ML On GCP: [ Ссылка ]
(Optional) Step 5a: If Your Focus Is NLP
DeepLearning.AI Natural Language Processing Specialization: [ Ссылка ]
Step 6: Master TensorFlow
Advanced TensorFlow Specialization: [ Ссылка ]
BONUS
University of Alberta Reinforcement Learning: [ Ссылка ]
DataBricks Apache Spark Specialization: [ Ссылка ]
IBM Cloud / Web Development Specialization: [ Ссылка ]
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My Step-By-Step PDF: [ Ссылка ]
Please note that I may earn a commission for purchases made at the above sites, which come in the form of paid certificates. However, the learning material is entirely free! If you do choose to pay for a certificate through these links; thank you for supporting the channel!
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