Artificial Intelligence Projects with Python-HandsOn
> Use popular libraries such as Keras and TensorFlow for reinforcement learning > Employ the SpaCy and textacy libraries for natural language processing > Extend pre-trained deep learning models
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Complete 2019 Data Science & Machine Learning Bootcamp
> Use data science algorithms to analyse data in real life projects such as spam classification and image recognition > Understand how to use the latest tools in data science, including Tensorflow, Matplotlib, Numpy and many more > Create your own neural networks and understand how to use them to perform deep learning
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Data Science at Scale
> Data Manipulation at Scale: Systems and Algorithms > Practical Predictive Analytics: Models and Methods > Communicating Data Science Results
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Mathematics for Machine Learning
> Linear Algebra > Multivariate Calculus > Principal Component Analysis(PCA)
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Statistics Essentials for Analytics
> Understanding the data > Probability and its uses > Statistical Inference > Data Clustering > Testing the data > Regression Modelling
Big Data Analysis with Scala and Spark
> Getting Started + Spark Basics > Reduction Operations & Distributed Key-Value Pairs > Partitioning and Shuffling > Structured data: SQL, Dataframes, and Datasets
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Artificial Intelligence and Machine Learning Foundation
> Understand AI/ML Fundamentals, Supervised, Unsupervised Learning, Computer Vision and Natural Language Processing.
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Data Science Career Track Prep Course
Learn the foundational coding and statistics skills needed to pass our Data Science Career Track admissions challenge.
> Use Python to complete real-world coding exercises and begin your data science journey > Confidently tackle our Data Science Career Track admissions challenge
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Hands-on Deep Learning Training
> Learn about what is Machine Learning, Popular ML Methods, What is Deep Learning, Applications of Deep learning > Learn basic Concept of Deeplearning, Neural Network, Universal Approximations Theorem, Deep Neural Network
http://bit.ly/2MoBZ5t
Learn to Reliably Invest In The Stock Market
> Have an investment strategy that gains them 9-12% per year compounding for long term >Have an investment strategy that is safe and can be used throughout all the market ups and down
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