Algorithms Archives - Page 25 of 30

Packt – Implementing Deep Learning Algorithms with TensorFlow 2.0

15/08/2019 Learning for Life Leave a Comment

Packt – Implementing Deep Learning Algorithms with TensorFlow 2 0
English | Size: 785.19 MB
Category: E-learning

Learn
Understand what Deep Learning and TensorFlow 2.0 are and what problems they have solved and can solve
Study the various Deep Learning model architectures and work with them
Apply neural network models, deep learning, NLP, and LSTM to several diverse data classification scenarios, including breast cancer classification; predicting stock market data for Google; classifying Reuters news topics, and classifying flower species
Apply your newly-acquired skills to a wide array of practical and real-world scenarios [Read more…]

Udacity – Data Structures and Algorithms Nanodegree nd256 v2.0.0

05/08/2019 Learning for Life Leave a Comment

Udacity – Data Structures and Algorithms Nanodegree nd256 v2.0.0
English | Size: 2.15 GB
Category: Tutorial

In this course you will learn data structures and algorithms by solving 80+ practice problems. You will begin each course by learning to solve defined problems related to a particular data structure and algorithm. By the end of each course, you would be able to evaluate and assess different data structures and algorithms for any open-ended problem and implement a solution based on your design choices. [Read more…]

Technics Publications C++ Series Data Structures and Algorithms

30/06/2019 Learning for Life Leave a Comment

Technics Publications C Plus Plus Series Data Structures and Algorithms-RiDWARE
English | Size: 953.94 MB
Category: Tutorial

C++ expert Rohit Kumar covers the data structures and algorithms available in C++ in this C++ video series. Learn how to store data effectively as Rohit explains these eight topics
[Read more…]

OReilly Media Developing with Graph Algorithms-XCODE

23/06/2019 Learning for Life Leave a Comment

OReilly Media Developing with Graph Algorithms-XCODE
English | Size: 3.86 GB
Category: Tutorial

Url: Release Info: In this video course, designed for beginner- to intermediate-level developers and data scientists, host Mark Needham introduces graph algorithms and demonstrates how you can incorporate them into your software development and data science workflow [Read more…]

LINKEDIN LEARNING Applied Machine Learning: Algorithms

08/06/2019 Learning for Life Leave a Comment

LINKEDIN LEARNING APPLIED MACHINE ALGORITHMS-BiFiSO
English | Size: 348.97 MB
Category: Tutorial

What you’ll learn
Models vs. algorithms
Cleaning continuous and categorical variables
Tuning hyperparameters
Pros and cons of logistic regression
Fitting a support vector machines model
When to consider using a multilayer perceptron model
Using the random forest algorithm
Fitting a basic boosting model
In the first installment of the Applied Machine Learning series, instructor Derek Jedamski covered foundational concepts, providing you with a general recipe to follow to attack any machine learning problem in a pragmatic, thorough manner. In this course-the second and final installment in the series-Derek builds on top of that architecture by exploring a variety of algorithms, from logistic regression to gradient boosting, and showing how to set a structure that guides you through picking the best one for the problem at hand. Each algorithm has its pros and cons, making each one the preferred choice for certain types of problems. Understanding what actually drives each algorithm, as well as their benefits and drawbacks, can give you a significant competitive advantage as a data scientist. [Read more…]

Python Machine Learning By Example- Implement Machine Learning Algorithms and Techniques to Build Intelligent Systems, 2nd Edition

02/06/2019 Learning for Life Leave a Comment

Python Machine Learning By Example- Implement Machine Learning Algorithms and Techniques to Build Intelligent Systems, 2nd Edition
English | Size: 249.77 MB
Category: Tutorial

Grasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as TensorFlow and scikit-learn
A surging interest in machine learning is due to the fact that it evolutionzies automation by learning patterns in data and using them to make predictions and decisions. Your ML journey starts with this book, as the second edition of the bestseller, Python Machine Learning By Example. [Read more…]

Linkedin Learning Applied Machine Learning Algorithms-XCODE

27/05/2019 Learning for Life Leave a Comment

Linkedin Learning Applied Machine Learning Algorithms-XCODE
English | Size: 346.31 MB
Category: Tutorial

In the first installment of the Applied Machine Learning series, instructor Derek Jedamski covered foundational concepts, providing you with a general recipe to follow to attack any machine learning problem in a pragmatic, thorough manner. In this course-the second and final installment in the series-Derek builds on top of that architecture by exploring a variety of algorithms, from logistic regression to gradient boosting, and showing how to set a structure that guides you through picking the best one for the problem at hand. Each algorithm has its pros and cons, making each one the preferred choice for certain types of problems. Understanding what actually drives each algorithm, as well as their benefits and drawbacks, can give you a significant competitive advantage as a data scientist.
[Read more…]

Packt Exploring Graph Algorithms with Neo4j

13/05/2019 Learning for Life Leave a Comment

Packt Exploring Graph Algorithms with Neo4j
English | Size: 281.42 MB
Category: Tutorial

Neo4j is an open-source, highly scalable and transactional graph database well suited to connected data. It is the world’s leading graph database management system which is designed for optimizing fast management, storage, and traversal of nodes and relationships [Read more…]

Programming Foundations – Algorithms

28/04/2019 Learning for Life Leave a Comment

Programming Foundations – Algorithms
English | Size: 239.86 MB
Category: Tutorial

Algorithms are the universal building blocks of programming. They power the software you use every day, whether it’s a spreadsheet, a social network, or a driving assistant. Algorithms offer a way to think about programming challenges in plain English, before they are translated into a specific language like C# or JavaScript. In this course, author and developer Joe Marini explains some of the most popular and useful algorithms for searching and sorting information, working with techniques like recursion, and understanding common data structures. He also discusses the performance implications of different algorithms and how to evaluate the performance of a given algorithm. Each algorithm is shown in practice in Python, but the lessons can be applied to any programming language. [Read more…]

Udemy – Algorithms for beginners

26/02/2019 Learning for Life Leave a Comment

Udemy – Algorithms for beginners
English | Size: 1.73 GB
Category: Tutorial

An algorithm is a list of rules to follow in order to solve a problem.

Algorithms need to have their steps in the right order. Think about an algorithm for getting dressed in the morning. What if you put on your coat before your jumper? Your jumper would be on top of your coat and that would be silly! When you write an algorithm the order of the instructions is very important.
[Read more…]