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Skills Required for a Career in AI, ML & Data Science ๐ง ๐ก
๐ Data Science: Python, Pandas, NumPy, SQL, Matplotlib, Seaborn, Jupyter, Scikit-learnโplus big data tools like Spark for handling massive datasets in 2025 pipelines. Focus on exploratory data analysis (EDA) to uncover insights from raw data.
๐ค Machine Learning: Python, Scikit-learn, TensorFlow, Keras, XGBoost, Statistics, Linear Algebraโadd model evaluation metrics (accuracy, F1-score) and basics of supervised/unsupervised learning. Ethical AI like bias detection is a must now for fair models.
๐ง Deep Learning: TensorFlow, PyTorch, CNNs, RNNs, GANs, Neural Networksโdive into interpretability techniques so you can explain why models make decisions, a hot skill for trustworthy AI.
๐ฃ๏ธ Natural Language Processing (NLP): spaCy, NLTK, Transformers, BERT, GPT, Text Classification, Sentiment Analysisโpair with prompt engineering for generative tasks, booming in chatbots and content analysis.
๐๏ธ Computer Vision: OpenCV, YOLO, CNNs, Image Segmentation, Object Detectionโessential for apps like autonomous driving or medical imaging, with edge AI for on-device processing.
๐ AI Tools & Platforms: Google Colab, AWS SageMaker, MLflow, Hugging Face, DVCโinclude cloud literacy (AWS, GCP) and AutoML for faster prototyping, plus version control like Git for team workflows.
โ๏ธ Math for AI: Probability, Statistics, Calculus, Linear Algebraโbuild on these for advanced topics like optimization in neural nets, and don't skip domain knowledge to tie math to real problems.
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Pick your interest โ Learn step-by-step โ Apply it to real-world projects like fraud detection or personalized recs to build a portfolio that stands out in interviews!
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2๏ธโฃ
Programming Books๐ Channel Link:
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Android Development๐ Channel Link:
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5๏ธโฃ Ethical Hacking๐ Channel Link:
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