Big Data

Effective data utilisation and management augments business productivity and value as our world becomes more and more data rich. Skill sets in the architecture, retrieval and analysis of the wealth of massive data include SQL, managing databases, relational databases, reviewing data quality, big data, data warehousing, ETL, NoSQL, data integration, MySQL, Apache Hadoop, data modelling, data architecture etc. Learn from courses conducted by industry experts at ZilLearn Plus and grow your data management skills.

Big Data

Effective data utilisation and management augments business productivity and value as our world becomes more and more data rich. Skill sets in the architecture, retrieval and analysis of the wealth of massive data include SQL, managing databases, relational databases, reviewing data quality, big data, data warehousing, ETL, NoSQL, data integration, MySQL, Apache Hadoop, data modelling, data architecture etc. Learn from courses conducted by industry experts at ZilLearn Plus and grow your data management skills.

Big Data Courses

Description

In Part 1 you will understand the advantages of Blockchain (such as increased security through cryptography.) We use practical examples to explain each concept, to help you understand topics like how Blockchain can be used to prevent forgeries. You will watch slides and animations explaining how blockchains work. Sit back and relax as expert Mammoth Interactive instructor Nimish Narang leads you through step by step. In Part 2 you will understand examples of decentralized apps for the virtual world. You’ll learn how D-apps perform data fetch, data addition and data modification. You will learn what determines the cost of a transaction, which is valuable for when we start building a project. You'll be able to recognize smart contracts. These are similar to classes in object-oriented languages. Solidity is a fairly rudimentary language that takes bits and pieces from other programming languages. It is easy to use because it's so simple, though it has less functionality. You will become an expert on the basics and key uses that will make you fluent in Solidity. And much more. You will build arrays for operations, storage, and memory. And much more in this huge Mammoth Interactive course. You will create structs, mappings, messages, and contracts. Each topic will be explained step by step for anyone. No prior coding experience is needed. In Part 4 of this Mammoth course, you will build a complete app from zero to hero. You will be able to solve errors that can occur when you work as a programmer. You will build the contract skeleton and code. The result will be a basic app you can build upon and add to your portfolio! We answer every question within two business days. We want to hear from you. Watch the free lectures and amazing trailer, then jump right in and start participating with the Mammoth community.

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Description

This Mammoth Interactive course was funded by a #1 project on Kickstarter Learn Android Studio, Java, app development, Pycharm, Python coding, Tensforflow, and more with Mammoth Interactive. Build advanced projects using machine learning including advanced the MNIST database with neuron functions. Build a text summarizer and learn object localization, object recognition, and Tensorboard. Machine learning is a machine’s ability to make decisions or predictions based on previous exposure to data and extensive training. In other words, if a machine (program, app, etc.) improves its prediction accuracy through training then it has “learned”. Learn How Models Work! Computational graphs consist of a network of connected nodes (often called neurons). Each of these nodes typically has a weight and a bias that helps determine, given an input, which path is the most likely. There are 4 main components to building a machine learning program: data gathering and formatting, model building, training, and testing and evaluating

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