Intro to ml lesson vincent

Editor's Notes

• #2: Welcome the audience Introduce yourself Tell them broadly what you are going to talk about Transition to video
• #3: 5 real-world examples 4 Google products
• #9: Untuk materinya, tidak perlu terlalu dalam mas. Cukup overview saja. Karena ini intro to machine laerning dan pesertanya adalah pemula, jadi isi materi kurang lebih: 1. Apa itu machibe learning? 2. Kegunaanya 3. Jenis-jenis (supervised, unsupervised) 4. Algoritma dari supervised dan unsupervised 5. Contoh penerapanya dari setiap algoritma 6. Workflow / Alur pengerjaan project machine learning (contoh: data preprocessing, modelling, tunning, deployment, monitoring) 7. Library apa yang paling sering digunakan 8. Kemampuan dasar apa yang perlu dipersiapan
• #13: Untuk materinya, tidak perlu terlalu dalam mas. Cukup overview saja. Karena ini intro to machine laerning dan pesertanya adalah pemula, jadi isi materi kurang lebih: 1. Apa itu machibe learning? 2. Kegunaanya 3. Jenis-jenis (supervised, unsupervised) 4. Algoritma dari supervised dan unsupervised 5. Contoh penerapanya dari setiap algoritma 6. Workflow / Alur pengerjaan project machine learning (contoh: data preprocessing, modelling, tunning, deployment, monitoring) 7. Library apa yang paling sering digunakan 8. Kemampuan dasar apa yang perlu dipersiapan
• #17: ML has already made a huge impact in the world especially in the areas of science and health care. ML is impacting almost every industry from Manufacturing to sales and Marketing and from Agriculture to Astronomy.
• #18: For the simple basic codes that I am going to talk about is using this material from Google Colab In case you don’t know what Google Colab is, it is an impressive tool where you can run your GPU for free using interactive notebooks environments. So if you want to run your machine learnign model quickly using Tensorflow, Keras, and many more but you don’t want to invest a lot. Then you can come to this environment. It is easy. If you are still unsure, then let me know. But for now, you can just know that we are using this training tutorial as our simple intro to CNN
• #19: In Agriculture: In dairy farming a cows health is vital to the survival business and Connecterra a company in the Netherlands wondered if they can use Machine Learning to keep cows healthy by tracking behaviors and being able to provide insights to farmers and veterinarians on actions to be taken to ensure happy, healthy cows with higher yields. So now, happy cows come not only from California but also from the Netherlands
• #20: Google Maps has created Street View-style visual guides for step-by-step directions overlaid onto the real world, as viewed through the smartphone camera. Further, Google plans to integrate its Assistant, equipped with the computer vision platform Google Lens, into Maps. That way, you’ll be able to pan over a city street and see pop-ups highlighting restaurants and other locations in real time.
• #21: Now you Google is offering offline downloads for its AI-powered translator. So if you don’t have unlimited data or you have a plan that doesn’t work internationally, you can now download neural machine translation from Google’s Android and iOS apps. Google Translate’s offline AI translations will first be available in 59 languages, including English, Arabic, Chinese, German, and Hindi, to name a few. They’ll take about 35MB per language, so they won’t use up too much of your device’s storage. Lower-specced phones should also be able to support the new update, as Google says it wants users in all markets to have access to the feature.
• #22: 5 real-world examples 4 Google products
• #25: 5 real-world examples 4 Google products
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• #32: 5 real-world examples 4 Google products
• #34: 5 real-world examples 4 Google products
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• #40: Now that we are aware of all the resources let’s understand the framework for building ML models.
• #45: Now that we are aware of all the resources let’s understand the framework for building ML models.