Intro to Machine Learning

Intro

Artificial Intelligence

Image Recognition

Traditional programming vs machine learning

Linear regression example

Code overview

Neural Network Model

How machine learning works

Conclusion

Intro

Programming a Game

Detecting golfing

Hello World of Machine Learning

TensorFlow app demonstration

What is a dense layer?

What is the loss function?

Predicting values

What is a neuron?

Conclusion

Intro

Python

Maths

ML Developer Stack

Learn Machine Learning

How To Really Get Good

Intro

Image classification

Fashion MNIST dataset

Loading the data

Training images

Labels

Neural network design

Activation functions

Training

Spotting features

What is Machine Learning?

Machine learning in social media

Supervised vs unsupervised

Unsupervised algorithms

Machine learning platforms

Intro

What you learn here

Customization

Machine Learning lets you solve problems that you, as a programmer, have no idea how to do by hand

Philosophy of Machine Learning

Conclusion

Introduction

What is Machine Learning?

AI vs ML vs Data Science

Supervised Learning

Unsupervised Learning

Reinforcement Learning

Classification

Regression

Intro

Introducing Bea Stollnitz

The videos we released this week covering ML for Beginners

We learn Jim's US geography is terrible and Bea loves Iceland

An ask for more Reactor content in Portuguese, and we have some!

Career advice, getting a job in AI/ML

Building your portfolio

The ML for Beginners curriculum

How can you change your role into an ML position? Build a portfolio on GitHub!

Kaggle challenges can also help boost your portfolio

How can programmers use ML to help data analysts and scientists? APIs help anyone use ML with no experience.

The Julia programming language for ML

Do you need Azure ML to learn from ML for Beginners? No!

Improving security with ML

Responsible AI

Deploying AI models using Azure ML

Blogs vs GitHub for portfolios

We are in a time where responsible AI is the most important thing in this field

Multimodal models and voice controlled ChatGPT by building your own apps.

What to learn after Python basics to learn ML? ML for Beginners!

Agenda

Benchmarks and Metrics

Difference between Machine Learning and other benchmarks

Why did things slow down after 2019?

Benchmark updates

How to submit to ML Perf

Open source data and models

Are there any special initiatives to capture dying languages?

Challenges with ML

Why is ML Commons open source?

Intro

Personalizing learning experience

Results

Features of ML Kit

Dynamic Model Download

How does ML Kit work?

Face Detection demo

Compression and conversion of TensorFlow Lite models

Multi-model training

Conclusion

Recap

What is a neural network?

Equation of a Line

The process of machine learning

What is machine learning?

Wrap up

Introduction to Machine Learning

What is Machine Learning?

Applications of Machine Learning

Jobs in Machine Learning

Intro

Model pipeline

What is the ML Kit SDK

Developers that use ML Kit

Entity Extraction API

Pose detection

App size

Demo

Supported models

Wrap up

Cloud Video Intelligence Api

The Transcoder Api

Demo

Test Footage

Real Test with Testing Footage

Pdf2 Audiobook

Vision Api

Otml Table

Evaluation Report

Text to Speech Api