MANNING | Machine Learning For Mere Mortals [Video] [FCO]

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  • U01M01 The basics.mp4 (34.7 MB)
  • U01M02 Machine Learning versus Artificial Intelligence.mp4 (33.0 MB)
  • U01M03 Supervised learning.mp4 (43.1 MB)
  • U01M04 Unsupervised learning.mp4 (16.2 MB)
  • U01M05 Reinforcement learning.mp4 (28.4 MB)
  • U01M06 A quick math refresher.mp4 (11.0 MB)
  • U01M07 Slope of a line.mp4 (45.1 MB)
  • U01M08 Scalars, vectors, and tensors.mp4 (26.5 MB)
  • U01M09 Matrices and matrix arithmetic.mp4 (13.4 MB)
  • U01M10 Set up your computing environment.mp4 (1.8 MB)
  • U01M11 Install Python tools.mp4 (11.2 MB)
  • U01M12 Create virtualenv environment.mp4 (5.9 MB)
  • U01M13 Install Tensorflow.mp4 (18.3 MB)
  • U01M14 The projects.mp4 (10.1 MB)
  • U02M01 Supervised learning.mp4 (22.3 MB)
  • U02M02 Trend lines.mp4 (4.6 MB)
  • U02M03 Cost functions.mp4 (3.8 MB)
  • U02M04 Minimizing cost functions.mp4 (8.8 MB)
  • U02M05 Visualizing data.mp4 (35.0 MB)
  • U02M06 Using linear regression to predict values.mp4 (22.8 MB)
  • U02M07 More complicated functions.mp4 (1.7 MB)
  • U02M08 Working with matrices.mp4 (4.6 MB)
  • U02M09 Letting Tensorflow do the hard work.mp4 (14.2 MB)
  • U03M01 More supervised learning.mp4 (4.7 MB)
  • U03M02 What are features_.mp4 (5.6 MB)
  • U03M03 What makes a good feature_.mp4 (15.5 MB)
  • U03M04 Decision trees.mp4 (10.6 MB)
  • U03M05 K-nearest neighbor.mp4 (9.9 MB)
  • U03M06 Linear classification.mp4 (7.9 MB)
  • U03M07 Making it work in Tensorflow.mp4 (21.2 MB)
  • U03M08 Creating a spam filter.mp4 (13.7 MB)
  • U03M09 Tools and data for email classification.mp4 (36.0 MB)
  • U03M10 Classifying emails.mp4 (9.2 MB)
  • U04M01 How clustering works.mp4 (82.1 MB)
  • U04M02 Clustering algorithms.mp4 (56.8 MB)
  • U04M03 Introducing k-means.mp4 (56.9 MB)
  • U04M06 Assigning Points to a Centroid in K-means).mp4 (34.3 MB)
  • U05M01 What are neural networks, and how do they work.mp4 (68.7 MB)
  • U05M02 The Tensorflow Playground interface.mp4 (14.0 MB)
  • U05M03 Adding nodes to use multiple models in the TensorFlow Playground.mp4 (12.8 MB)
  • U05M04 What hidden layers are, and how to use them with TensorFlow Playground.mp4 (43.9 MB)
  • U05M05 What is the activation function in a neural network_.mp4 (35.8 MB)
  • U06M01 Using Neural Networks.mp4 (56.6 MB)
  • U06M02 How encoding non-numeric data works.mp4 (64.8 MB)
  • U06M03 One hot encoding.mp4 (84.5 MB)
  • U06M04 How image recognition relates to a neural network.mp4 (95.1 MB)
  • U07M01 Encoding and Representation.mp4 (21.3 MB)
  • U07M02 Numeric representation of data.mp4 (40.6 MB)
  • U07M03 Text representation of data.mp4 (31.8 MB)
  • U07M04 Representation of image data.mp4 (34.1 MB)
  • U07M05 Representation of audio data.mp4 (28.4 MB)
  • U07M06 Analytics, stock prices, and other time series data.mp4 (43.6 MB)
  • U07M07 Preparing data_ finding the data set.mp4 (31.3 MB)
  • U07M08 Preparing data_ Features engineering.mp4 (61.4 MB)
  • U07M09 Principal Component Analysis_ The mathematical way to determine features.mp4 (23.1 MB)
  • U07M10 Feature selection.mp4 (34.5 MB)
  • U07M11 Geometry of the data space and the curse of dimensionality.mp4 (58.6 MB)
  • U08M01 The difference between an algorithm and a model.mp4 (50.3 MB)
  • U08M02 Chaining together models.mp4 (146.6 MB)
  • U09M01 Improving performance in machine learning routines.mp4 (89.8 MB)
  • U09M02 Using parallelization.mp4 (57.3 MB)
  • U09M03 Outliers.mp4 (204.6 MB)
  • U09M05 What should we do with outliers_.mp4 (119.1 MB)
  • U09M06 Robustness and noise.mp4 (40.3 MB)
  • U09M07 Overfitting.mp4 (104.2 MB)
  • U09M08 Regularization.mp4 (272.5 MB)

Description

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Author : Nicholas Chase
Publisher : Manning Publications
Released : 2021
Duration : 3h 34m
Language : English
Course Source : https://www.manning.com/livevideo/machine-learning-for-mere-mortals

Video Description

What can you do with machine learning?


• Use social media data to put the right ads in front of your users
• Predict which customers are going to leave in time to stop them
• Real-time product pricing that reacts to competition and demand
• Create smart SPAM filters
• Read text and numbers from images

If you're a halfway decent Python programmer, you can learn to do all these things and much more! Machine Learning for Mere Mortals is a practical video course that takes you from clueless beginner into the incredible world of machine learning with Python and Tensorflow!

About the subject

With machine learning (ML), you can predict outcomes, identify trends, and make on-point recommendations that take the guesswork out of marketing, pricing, and other key business activities. And a quick look through the job boards will tell you that machine learning has become one of the hottest job skills out there. You can't afford to miss out!

About the video

What do we mean by mere mortals? It's simple! We don't expect you to know any specialist mathematics or highbrow computer programming. If you passed college stats and you know the basics of Python programming, you're set. In this course, you'll start by learning what machine learning is, along with a quick refresher on the math you'll need, including key ML terms like scalars, vectors, and matrices. Next, you'll start working with Google's amazing TensorFlow machine learning library as you take your first steps. In your first major project, you'll build a smart spam filter. As you explore practical lessons in supervised and unsupervised machine learning, you'll learn how to fine-tune it to catch exactly what it needs to, every time.

One of the hottest ML topics is Deep Learning with neural networks. That's where this course goes next, but DON'T PANIC! You'll find examples and explanations that make this extraordinarily cool topic easy to understand. You'll build your first network, discover what makes it tick, and apply it to recognize handwriting. Along the way, you'll start to think like a machine learning developer as you learn how to choose and optimize algorithms and explore other tools you can use beyond TensorFlow.

Expert author Nick Chase brings his experience writing hundreds of articles and tutorials to the world of video, as he carefully guides you through each aspect of machine learning you need to know. He breaks down key concepts and terms so you can discuss this topic with other people in the ML biz using their own language. With this video course and Nick by your side, you'll be more than ready to develop your own machine learning applications and get real, actionable insight from your data!

Prerequisites

All you need is basic programming skills and basic math knowledge.

What you will learn

• Common machine learning algorithms
• Working with TensorFlow
• Using neural networks
• Making predictions
• Recognizing patterns in big data
• A tour of the most used machine learning APIs

About the instructor

Nick Chase is the author or co-author of close to a dozen programming books, including Active Server Pages 3.0 From Scratch, Java and XML From Scratch, and Beginning XML. He is also an IBM Developerworks Master Author, having written more than 400 articles and tutorials on various technical topics.



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MANNING | Machine Learning For Mere Mortals [Video] [FCO]


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2.7 GB
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MANNING | Machine Learning For Mere Mortals [Video] [FCO]


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