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《ML in Production: Architecting for Scale (Next Rew》

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    教程列表:

    Hello World - Machine Learning Recipes #1

    Visualizing a Decision Tree - Machine Learning Recipes #2

    What Makes a Good Feature? - Machine Learning Recipes #3

    Let’s Write a Pipeline - Machine Learning Recipes #4

    Writing Our First Classifier - Machine Learning Recipes #5

    Train an Image Classifier with TensorFlow for Poets - Machine Learning Recipes #

    Classifying Handwritten Digits with TF.Learn - Machine Learning Recipes #7

    Let’s Write a Decision Tree Classifier from Scratch-Machine Learning Recipes #8

    How to Build Flexible, Portable ML Stacks with Kubeflow and Elastifile (Next Rew

    机器学习解决医学难题

    Android Things presents: Machine Learning Flowers

    ML Kit: Machine learning for mobile developers (Fi

    Programming ML Supercomputers: A Deep Dive on Clou

    ML in Production: Architecting for Scale (Next Rew

    Machine Learning with Scikit-Learn and Xgboost on

    How machine learning helps scientists track astero

    Applied Machine Learning with Peter Norvig, Direct

    AutoML Vision and Designing Product Experiences at

    Cloud OnAir: CE TV: Machine Learning 101 - The wha

    Recognize Text in Images with ML Kit on iOS (Firec

    Recognize Text in Images with ML Kit on Android (F

    How machine learning helps identify potholes on Lo

    Startup Synetiq uses ML to create better video ads

    How machine learning helps identify potholes on Lo

    Making Friends with Machine Learning: Regression

    Google Developers brings its Machine Learning Boot

    How to take advantage of GPUs and TPUs for your ML

    Meet Aerobotics: protecting crops with Machine Lea

    Machine learning developers - TensorFlow Dev Summi

    Powered by TensorFlow: Airbnb uses machine learnin

    Building a Visual Debugging Tool for ML - TF.js in

    TF Lattice: Control Your ML with Monotonicity (TF

    Democratizing Ultrasound via ML (TF Dev Summit '19

    TensorFlow Federated (TFF): Machine Learning on De

    TensorFlow Dev Summit 2019 Highlights #MachineLear

    Computer Vision with ML Kit (Flutter In Focus)

    Dyad X Machina: bringing emotion into machine lear

    Google Cloud Next, Machine Learning, & more! (This

    Google Cloud Next, Machine Learning, & more! (This

    Cloud ML Engine for Industrial Visual Inspection (

    Understanding the Earth: ML With Kubeflow Pipeline

    From Data to Dashboard: A Machine Learning Adventu

    Things I Wish I Knew Before Building Serverless ML

    ML Options for Mobile Developers (Cloud Next '19)

    Solving FinServ Problems Using ML Models Which Are

    A Glimpse Into CBS Interactive’s AI/ML Group (Clou

    Next DevByte - ML Options for Mobile Developers (C

    Understanding Documents Leveraging Machine Learnin

    Serverless and Open-Source Machine Learning at Sli

    Open Doors to ML: How AAA Leverages BQML and Googl

    Cloud for Good - Leveraging Data, Machine Learning

    GPU Infrastructure on GCP for ML and HPC Workloads

    Accelerating Machine Learning App Development with

    Making AI/ML Simple, Fast and Cost-effective with

    Machine Learning with TensorFlow and PyTorch on Ap

    Using ML to Improve Process Control and Costs (Clo

    Machine Learning Framework for Liquidity Risk Mana

    Machine Learning with BQML - Take5

    Body, Movement, Language: AI Sketches with Bill T.

    Live Coding A Machine Learning Model from Scratch

    Machine Learning on Your Device: The Options (Goog

    What’s New in Android Machine Learning (Google I/O

    Machine Learning Magic for Your JavaScript Applica

    Train Custom Machine Learning Models with No Data

    ML Kit: Machine Learning for Mobile with Firebase

    Swift for TensorFlow (Google I/O'19)

    Machine Learning Zero to Hero (Google I/O'19)

    Music and Machine Learning (Google I/O'19)

    Machine Learning Fairness: Lessons Learned (Google

    Cloud TPU Pods: AI Supercomputing for Large Machin

    Federated Learning: Machine Learning on Decentrali

    Machine Learning for Game Developers (Google I/O'1