THE COMPLETE BITCOIN COURSE: GET .001 BITCOIN IN YOUR WALLET

Enroll On This Complete Bitcoin Course Which Will Help You Master Bitcoin & Join The Ecosystem! Updated For 2017! Bestselling Created by Ravinder Deol Last updated 4/2017 English What Will I Learn? Understand How Bitcoin Works As A Globally Based Cryptocurrency, And Get Involved With It Practically As Well As Learning The Theoretical Side Of The Currency. Realise How Anyone Can Get Involved In Bitcoin Mining, Whether It’s For Profit Or Just For Fun, You Will Be Able To Start Mining Your Very Own Bitcoins With Everything On This Course. Undertake Your First Ever Bitcoin Transaction By Receiving .001 Bitcoin …

Read More »

DATA ANALYTICS: SQL FOR NEWBS, BEGINNERS AND MARKETERS

Dominate data analytics, data science, and big data Created by Lazy Programmer Inc. Last updated 11/2016 English What Will I Learn? Know how to answer all of their marketing-related questions using a SQL query Understand what a relational database is How to install SQL on Mac, Linux, or Windows How to create a table How to import data into a table How to query a table How to insert into, update, and delete from a table Speed things up using indexes Join tables together to merge data Aggregate data using count, sum, and average Determine where in the sales funnel …

Read More »

UNSUPERVISED DEEP LEARNING IN PYTHON

Theano / Tensorflow: Autoencoders, Restricted Boltzmann Machines, Deep Neural Networks, t-SNE and PCA Created by Lazy Programmer Inc. Last updated 6/2017 English What Will I Learn? Understand the theory behind principal components analysis (PCA) Know why PCA is useful for dimensionality reduction, visualization, de-correlation, and denoising Derive the PCA algorithm by hand Write the code for PCA Understand the theory behind t-SNE Use t-SNE in code Understand the limitations of PCA and t-SNE Understand the theory behind autoencoders Write an autoencoder in Theano and Tensorflow Understand how stacked autoencoders are used in deep learning Write a stacked denoising autoencoder in …

Read More »

NATURAL LANGUAGE PROCESSING WITH DEEP LEARNING IN PYTHON

Complete guide on deriving and implementing word2vec, GLoVe, word embeddings, and sentiment analysis with recursive nets Bestselling Created by Lazy Programmer Inc. Last updated 5/2017 English What Will I Learn? Understand and implement word2vec Understand the CBOW method in word2vec Understand the skip-gram method in word2vec Understand the negative sampling optimization in word2vec Understand and implement GLoVe using gradient descent and alternating least squares Use recurrent neural networks for parts-of-speech tagging Use recurrent neural networks for named entity recognition Understand and implement recursive neural networks for sentiment analysis Understand and implement recursive neural tensor networks for sentiment analysis Requirements Install …

Read More »

SCALA AND SPARK FOR BIG DATA AND MACHINE LEARNING

Learn the latest Big Data technology – Spark and Scala, including Spark 2.0 DataFrames! Created by Jose Portilla Last updated 8/2017 What Will I Learn? Use Scala for Programming Use Spark 2.0 DataFrames to read and manipulate data Use Spark to Process Large Datasets Understand hot to use Spark on AWS and DataBricks Requirements Basic Programming Knowledge in some language Basic Math Skills English Language Description Learn how to utilize some of the most valuable tech skills on the market today, Scala and Spark! In this course we will show you how to use Scala and Spark to analyze Big Data. Scala …

Read More »

ARTIFICIAL INTELLIGENCE: REINFORCEMENT LEARNING IN PYTHON

Complete guide to artificial intelligence and machine learning, prep for deep reinforcement learning Created by Lazy Programmer Inc. Last updated 5/2017 English What Will I Learn? Apply gradient-based supervised machine learning methods to reinforcement learning Understand reinforcement learning on a technical level Understand the relationship between reinforcement learning and psychology Implement 17 different reinforcement learning algorithms Requirements Calculus Probability Markov Models The Numpy Stack Have experience with at least a few supervised machine learning methods Gradient descent Good object-oriented programming skills Description When people talk about artificial intelligence, they usually don’t mean supervised and unsupervised machine learning. These tasks are pretty trivial compared …

Read More »