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 Coders With Fastai and Pytorch: AI Applications Without a PhdJeremy Howard & Sylvain GuggerClick HereNeural Networks and Deep LearningMichael NielsenClick HereDeep Learning for Computer Vision with PythonAdrian RosebrockClick HereTinyML: Machine Learning With Tensorflow Lite on Arduino and Ultra-Low-Power MicrocontrollersPete Warden & Daniel Situnayake Click HerePractical Natural Language ProcessingSowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta & Harshit SuranaClick Here Previous slide Next slide Machine Learning & AI Books A Thousand Brains: A New Theory of IntelligenceJeff HawkinsClick HereMachina sapiens. L'algoritmo che ci ha rubato il segreto della conoscenzaNello CristianiniClick HereThinking, Fast and SlowDaniel KahnemanClick HereHands-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 HereThe Technological SingularityMurray ShanahanClick Here Previous slide Next slide Miscellaneous Books Practical Python and OpenCV Adrian RosebrockClick HereC e C++Carlo A. MazzoneClick HereComputing: A Concise HistoryPaul E. CeruzziClick HereHow Linux WorksBrian WardClick HereIl metodo genialeGiulio DeangeliClick 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 Here Previous slide Next slide 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 slide Next slide
