Reading List Here you can find some of my preferred readings on AI 'n' ML. Deep Learning Books Deep LearningIan Goodfellow, Yoshua Bengio and Aaron CourvilleClick HereDeep Learning for Computer Vision with PythonAdrian RosebrockClick HereNeural Networks and Deep LearningMichael NielsenClick HereTinyML: Machine Learning With Tensorflow Lite on Arduino and Ultra-Low-Power MicrocontrollersPete Warden & Daniel Situnayake Click HereDeep Learning for Coders With Fastai and Pytorch: AI Applications Without a PhdJeremy Howard & Sylvain GuggerClick Here Previous Next Machine Learning & AI Books Hands-On Machine Learning with Scikit-Learn & TensorFlowAurelien GeronClick HereReinforcement Learning An Introduction (second edition)Richard S. Sutton and Andrew G. BartoClick HereArtificial Intelligence: A Modern ApproachStuart Russell & Peter NorvigClick HereProbably Approximately CorrectLeslie ValiantClick Here Previous Next Miscellaneous Books Practical Python and OpenCV Adrian RosebrockClick HereC e C++Carlo A. MazzoneClick HereHow Linux WorksBrian WardClick HereBut How Do It Know?J.Clasrk ScottClick HereInfinite Powers: How Calculus Reveals the Secrets of the UniverseSteven StrogatzClick HerePython 3: Guida tascabile al linguaggio di Google, Star Wars e la NASAMarco BeriClick HereReti DomestichePier CalderanClick HereThinking, fast and slowDaniel KahnemanClick Here Previous Next Online Tutorials and Courses TensorFlow Official TutorialGoogleClick HereFastAIJeremy Howard & Co.Click HereDeep Learning SpecializationAndrew NgClick HereMachine Learning A-Z™: Hands-On Python & R In Data ScienceKirill Eremenko, Hadelin de PontevesClick Here3Blue1BrownGrant SandersonClick Here Previous Next
