DEEP LEARNING: RECURRENT NEURAL NETWORKS IN PYTHON

GRU, LSTM, + more modern deep learning, machine learning, and data science for sequences Created by Lazy Programmer Inc. Last updated 5/2017 English What Will I Learn? Understand the simple recurrent unit (Elman unit) Understand the GRU (gated recurrent unit) Understand the LSTM (long short-term memory unit) Write various recurrent networks in Theano Understand backpropagation through time Understand how to mitigate the vanishing gradient problem Solve the XOR and parity problems using a recurrent neural network Use recurrent neural networks for language modeling Use RNNs for generating text, like poetry Visualize word embeddings and look for patterns in word vector …

Read More »

DEEP LEARNING PREREQUISITES: THE NUMPY STACK IN PYTHON

The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence Created by Lazy Programmer Inc. Last updated 8/2017 English What Will I Learn? Understand and code using the Numpy stack Make use of Numpy, Scipy, Matplotlib, and Pandas to implement numerical algorithms Requirements Understand linear algebra and the Gaussian distribution Be comfortable with coding in Python You should already know “why” things like a dot product, matrix inversion, and Gaussian probability distributions are useful and what they can be used for Description Welcome! This is Deep Learning, Machine Learning, and Data Science Prerequisites: The Numpy …

Read More »

DEEP LEARNING: CONVOLUTIONAL NEURAL NETWORKS IN PYTHON

Computer Vision and Data Science and Machine Learning combined! In Theano and TensorFlow Created by Lazy Programmer Inc. Last updated 5/2017 English What Will I Learn? Understand convolution Understand how convolution can be applied to audio effects Understand how convolution can be applied to image effects Implement Gaussian blur and edge detection in code Implement a simple echo effect in code Understand how convolution helps image classification Understand and explain the architecture of a convolutional neural network (CNN) Implement a convolutional neural network in Theano Implement a convolutional neural network in TensorFlow Requirements Install Python, Numpy, Scipy, Matplotlib, Scikit Learn, Theano, …

Read More »

UNSUPERVISED MACHINE LEARNING HIDDEN MARKOV MODELS IN PYTHON

HMMs for stock price analysis, language modeling, web analytics, biology, and PageRank. Created by Lazy Programmer Inc. Last updated 8/2017 English What Will I Learn? Understand and enumerate the various applications of Markov Models and Hidden Markov Models Understand how Markov Models work Write a Markov Model in code Apply Markov Models to any sequence of data Understand the mathematics behind Markov chains Apply Markov models to language Apply Markov models to website analytics Understand how Google’s PageRank works Understand Hidden Markov Models Write a Hidden Markov Model in Code Write a Hidden Markov Model using Theano Understand how gradient …

Read More »

COMPLETE GST COURSE & CERTIFICATION – GROW YOUR CA PRACTICE

Become GST Expert in 12 hours! Created by ClearTax and CAs with 20 + years of experience Last updated 7/2017 English What Will I Learn? At the end of the course , students will have a thorough understanding of the GST tax regime and will be “GST Ready” for the coming future . Requirements This course takes you through the basics of GST and turns you into an expert. You just need to have the curiosity before starting this course They Need to have a basic understanding around taxes and the right enthusiasm to learn about taxes Description WHAT IS …

Read More »

THE ULTIMATE HANDS-ON HADOOP – TAME YOUR BIG DATA!

Hadoop, MapReduce, HDFS, Spark, Pig, Hive, HBase, MongoDB, Cassandra, Flume – the list goes on! Over 25 technologies. Bestselling Created by Sundog Education by Frank Kane, Frank Kane Last updated 5/2017 English What Will I Learn? Design distributed systems that manage “big data” using Hadoop and related technologies. Use HDFS and MapReduce for storing and analyzing data at scale. Use Pig and Spark to create scripts to process data on a Hadoop cluster in more complex ways. Analyze relational data using Hive and MySQL Analyze non-relational data using HBase, Cassandra, and MongoDB Query data interactively with Drill, Phoenix, and Presto …

Read More »