#python

Learn AI Series (#104) - Dynamic Programming What will I learn You will learn the Bellman equation: the recursive relationship that ties the value of a state to the value of the states it leads to; policy

Learn AI Series (#103) - Multi-Armed Bandits What will I learn You will learn the multi-armed bandit problem: the simplest reinforcement learning formulation that still captures the exploration-exploitation

I have one more great idea about trading which I will share in this post. Remember, all the strategies I share are the ones I have tried myself, and they are working. You just need to focus on the cautions

Learn AI Series (#102) - What Is Reinforcement Learning? What will I learn You will learn the RL framework: agent, environment, state, action, and reward - the five building blocks every RL system is made

Learn AI Series (#101) - Mini Project: Voice-Controlled AI Assistant What will I learn You will build a complete local voice assistant from the components covered in this audio arc; Whisper for speech

Learn AI Series (#100) - Multimodal Audio-Visual Models What will I learn You will learn audio-visual speech recognition: combining lip reading with audio for robust ASR in noisy environments; the cocktail

Learn AI Series (#99) - Audio Enhancement What will I learn You will learn spectral subtraction: the classical approach to noise reduction and why it produces "musical noise" artifacts; Wiener

Learn AI Series (#98) - Natural Language Understanding for Voice What will I learn You will learn intent classification: determining what a user wants from their spoken words; slot filling: extracting

Learn AI Series (#97) - Speaker Recognition and Diarization What will I learn You will learn speaker verification: confirming "is this the person they claim to be?"; speaker identification:

Learn AI Series (#96) - Music Generation What will I learn You will learn how AI generates music: from symbolic (MIDI) to raw audio generation; representing music as sequences: piano roll encoding, token-based

Learn AI Series (#95) - Audio Classification What will I learn You will learn environmental sound classification: identifying sounds like sirens, dogs barking, and rain using spectrograms and CNNs; audio

Learn AI Series (#94) - Text-to-Speech (TTS) What will I learn You will learn the TTS pipeline: converting text into natural-sounding speech; text preprocessing: normalization, grapheme-to-phoneme conversion,

Learn AI Series (#93) - Speech Recognition What will I learn You will learn the ASR pipeline: converting raw audio signals into text using deep learning; CTC (Connectionist Temporal Classification): aligning

Learn AI Series (#92) - Audio Fundamentals for AI What will I learn You will learn how sound works as a signal: waveforms, frequency, amplitude, and phase; sampling rate, bit depth, and the Nyquist theorem

Learn AI Series (#91) - Mini Project - Building a Visual AI System What will I learn You will learn to build an end-to-end visual AI pipeline combining detection, OCR, embeddings, and captioning; connecting

Learn AI Series (#90) - Self-Supervised Learning for Vision What will I learn You will learn why supervised learning's dependence on labeled data creates a fundamental bottleneck for vision; contrastive

Learn AI Series (#89) - Medical and Scientific Imaging What will I learn You will learn the unique challenges of medical imaging: small datasets, class imbalance, and regulatory requirements; transfer

Learn AI Series (#88) - Face Analysis What will I learn You will learn face detection: from classical Viola-Jones cascades to modern RetinaFace; face recognition: how FaceNet and ArcFace create identity

Learn AI Series (#87) - 3D Vision What will I learn You will learn depth estimation from single images (monocular) and stereo pairs; point clouds: representing 3D data as collections of points in space;

Learn AI Series (#86) - Image-to-Image and Editing What will I learn You will learn inpainting: filling in masked regions of images with contextually appropriate content using diffusion models; outpainting: