Machine Learning and TensorFlow on the Google Cloud
Machine Learning and TensorFlow on the Google Cloud
What will you learn in this course?
You will learn the two hottest technologies in this course. One of them is TensorFlow which is for machine learning, and the other is Google Cloud which is for cloud computing.
- Classification based on Naive Bayes, linear/logistic regression, and more
- Decision trees in machine learning
- Google's vision, NLP and interpret APIs on the Google cloud
- Image classification and working with images in TensorFlow
- K-nearest neighbors
- Linear and logistic regression models in TensorFlow
- Machine learning introduced from first principles
- Neural networks (deep learning) for learning functions in machine learning
- Sentiment analysis through machine learning
- Support vector machine algorithms in python
- TensorFlow and Cloud Machine Learning on the Google Cloud Platform
Your Instructor
Yoohoo Academy has taught 100,000+ students everything from Lift Style to Fitness Training, Cyber Security, to Ethical Hacking, Facebook Ads, to SEO, Email Marketing, to eCommerce, Business Investing, to Social Media Marketing, to Launching your own Business, Marketing/Ad Agency!
Yoohoo Academy is a Multination company that offers an ever growing range of high-quality online courses that teach using hands-on examples from experts in the field of study and tested research; all backed with high-quality, studio voiceover narrated videos! The emphasis is on teaching real life skills that are essential in today's world.
All Yoohoo Academy courses are taught by experts in their field who have a true passion for teaching and sharing their knowledge.
Course Curriculum
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StartIntroducing Machine Learning (8:04)
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StartRepresentation Learning (10:27)
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StartNN Introduced (7:35)
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StartIntroducing TF (7:16)
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StartLab Simple Math Operations (8:46)
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StartComputation Graph (10:17)
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StartTensors (9:02)
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StartLab Tensors (5:03)
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StartLinear Regression Intro (9:57)
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StartPlaceholders and Variables (8:44)
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StartLab Placeholders (6:36)
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StartLab Variables (7:49)
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StartLab Linear Regression with Made-up Data (4:52)
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StartImage Processing (8:05)
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StartImages As Tensors (8:16)
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StartLab Reading and Working with Images (8:05)
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StartLab Image Transformations (6:37)
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StartIntroducing MNIST (4:13)
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StartK-Nearest Neigbors as Unsupervised Learning (7:31)
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StartOne-hot Notation and L1 Distance (7:31)
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StartSteps in the K-Nearest-Neighbors Implementation (9:32)
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StartLab K-Nearest-Neighbors (14:14)
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StartLearning Algorithm (10:58)
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StartIndividual Neuron (9:52)
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StartLearning Regression (7:51)
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StartLearning XOR (10:27)
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StartXOR Trained (11:11)
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StartTensorFlowSourceCode
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StartLab Access Data from Yahoo Finance (2:49)
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StartNon TensorFlow Regression (8:05)
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StartLab Linear Regression - Setting Up a Baseline (11:18)
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StartGradient Descent (9:56)
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StartLab Linear Regression (14:42)
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StartLab Multiple Regression in TensorFlow (9:15)
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StartLogistic Regression Introduced (10:16)
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StartLinear Classification (5:25)
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StartLab Logistic Regression - Setting Up a Baseline (7:33)
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StartLogit (8:33)
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StartSoftmax (11:55)
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StartArgmax (12:13)
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StartLab Logistic Regression (16:56)
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StartEstimators (4:10)
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StartLab Linear Regression using Estimators (7:49)
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StartLab Logistic Regression using Estimators
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StartTensorFlowSourceCode
This course went above and beyond my expectations. This is a great business plan course. It was very easy to follow and very thorough. Alex is very real and makes you feel as if you are in the same room with him when he is speaking. Highly recommended all his courses & books.
- Amanda Smith
Tons and tons of advice. Make sure to take notes. Very comprehensive course with lots of great advice, a lot of things I never thought of trying. Definitely a don't miss for authors, musicians, or those with any other small business.
- Kristie Snively