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Predictive Analytics with TensorFlow 1.1: The Course Overview
This video will give you an overview about the course.
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Learn and Master C Programming - Writing Our First Program Using Visual C on the Command-Line
Learn how to write your first C program then compile it and run it using Visual C compiler on the command prompt. This clip is from the chapter "Writing our First Program - A 'Hello, World!' Program in C" of the series "Learn and Master...
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Ensemble Machine Learning Techniques 2.5: Ensemble Learning for Regression
In this video, we will use python to write a simple ensemble learning model for Regression. • We will use Jupyter Notebook to execute our code • Use of Height vs weight to demonstrate the ensemble technique • Use different models instead...
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Predictive Analytics with TensorFlow 6.4: TF-IDF Model for Predictive analytics
TF-IDF measures how important a word is in a document or in a collection of documents. It is used extensively in informational retrieval and reflects the weight of the word in the document, frequency and the inverse document frequency. •...
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Predictive Analytics with TensorFlow 2.3: Using Information Theory in Predictive Modeling
This video will first explain you the information theory. We will then see types of entropy. We will use the information theory in Python. • Study the different types of entropy • Use information theory in Python
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Predictive Analytics with TensorFlow 10.1: Recommendation Systems
Recommendation systems is a subclass of information filtering system that helps predict the "rating" or "preference" based on the rating provided by users of an item. We will also see collaborative filtering and content-based filtering...
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Predictive Analytics with TensorFlow 7.1: Deep Learning for Better Predictive Analytics
DL is a branch of ML based on a set of algorithms that attempt to model high-level abstractions in data. In this video, we will see artificial neural networks and deep neural networks. We will also see deep neural networks architecture....
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Predictive Analytics with TensorFlow 11.3: Developing a Stock Price Predictive Model
An emerging area for applying is the stock market trading, where a trader acts like a reinforcement agent since buying and selling particular stock changes the state of the trader by generating profit or loss, that is, reward. • Define...
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Predictive Analytics with TensorFlow 7.3:Using Multilayer Perceptrons for Predictive Analytics
For this video, we will be using bank marketing datasets. The data is related to direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. We will do predictive analytics using...
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Predictive Analytics with TensorFlow 6.1: NLP Analytics Pipelines
This video will explain us the general purpose of machine learning and also explain the workflow of predictive analytics. • Understand the workflow of predictive analytics in machine learning
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Ensemble Machine Learning Techniques 2.1: Problems that Ensemble Learning Solves
This video talks about the advantages of using ensemble learning. • Define what is Bias, variance • Define what is Bias-Variance tradeoff • Look at the Advantage of using ensemble learning
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High Performance Scientific Computing with C 2.2: Algorithm Complexity and Performance
How does the design of our programs affect their speed and accuracy? • Learn about floating-point round-off error • Learn about computational complexity • Examine the divide-and-conquer design approach
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Predictive Analytics with TensorFlow 11.1: Reinforcement Learning
Supervised and unsupervised learning appears at opposite ends of the spectrum, RL exists somewhere in the middle. We use reinforcement learning to discover a good sequence of actions to take the maximum expected rewards. We will also see...
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Predictive Analytics with TensorFlow 6.3: Using BOW for Predictive Analytics
In this video, we will see how to perform a bit more complex predictive analytics using the bag-of-words concept of NLP with TensorFlow. At first, we will formalize the problem, and then will explore the dataset that will be used....
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Cloud Native Development on Azure with Java 3.1: Security Features of an Azure Web Application
Security is a very important aspect of any application. In this video, we will go through the process of securing our cloud-native application, which we created in the previous section. • Explore the security features • Learn about the...
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Predictive Analytics with TensorFlow 11.2: Developing a Multiarmed Bandit's Predictive Model
One of the simplest RL problems is called n-armed bandits. The thing is there are n-many slot machines but each has different fixed payout probability. The goal is to maximize the profit by always choosing the machine with the best...
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Predictive Analytics with TensorFlow 10.3: Improved Factorization Machines for Predictive Analytics
In this video, we will see Neural factorization machines is used to for making predictions under sparse settings by seamlessly combining the linearity of FM and the non-linearity of the neural network. • Understand neural factorization...
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Predictive Analytics with TensorFlow 8.4: CNN-based Predictive Model for Sentiment Analysis
This video will try to see if we can use CNN for such a use case and experience much better accuracy. Well, the motivation here is that we know CNN is mostly suitable for handling image recognition, classification, or pattern...
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High Performance Scientific Computing with C 1.3: Interpolation and Extrapolation
How can we "fill in" the data points between discrete data? How can we extend beyond our data points? • Learn linear interpolation • Learn polynomial interpolation • See the dangers of extrapolation
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Predictive Analytics with TensorFlow 5.2: Using kNN for Predictive Analytics
kNN is non-parametric and instance-based and is used in supervised learning. In this video, we will see working principles of kNN, we will also implement kNN-based predictive model. • See the working principles of kNN • Implement a...
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Hands-On Unity 2018.x Game Development for Mobile (Video 2)
Ready to take your game development skills to the next level by deploying your games to mobile platforms? With the boom in the mobile game development space, there has never been a better time! This course will give you the necessary...
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Learning D3.JS 5.0 1.2: What Is Data Visualization?
In this video, we will learn what data visualization is, visual perception, and also what makes a good visualization. • Understand the definition of data visualization • Discuss visual perception • Learn the steps to make a great...
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Predictive Analytics with TensorFlow 9.1: Using BRNN for Image Classification
We will first provide some contextual information about RNNs. We will see how to implement a BRNN implementation example using the TensorFlow library. The example is using the MNIST database of handwriting. • Look at contextual...
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Hands-On Unity 2018.x Game Development for Mobile (Video 9)
Ready to take your game development skills to the next level by deploying your games to mobile platforms? With the boom in the mobile game development space, there has never been a better time! This course will give you the necessary...