Holczer Balazs

95% off Algorithms and Data Structures in Java (Coupon)

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Algorithms and Data Structures in Java - Udemy Coupon

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Coupon & course info

Course Name: Algorithms and Data Structures in Java

Subtitle: Learn how to solve complex problems in Java

Instructor: Taught by Holczer Balazs, Software Engineer

Category: IT & Software

Subcategory: Other

Provided by: Udemy

Price: $100 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of March 15, 2016…

Students: 757 students enrolled

Ratings: 22 reviews

Rank: ranked #390 in Udemy IT & Software Courses

Brief course description

Hi!

This course is about data structures and algorithms. We are going to implement the problems in Java, but I try to do it as generic as possible: so the core of the algorithms can be used in C++ or Python. The course takes approximately 5 hours to complete. I highly recommend typing out these data structures several times on your own in order to get a good grasp of it.

In the first part of the course we are going to learn about basic data structures such as linked lists, stacks and queues, heaps and some advanced ones such as hash tables and ternary search trees. The second part will be about data compression. We will try to optimize each data structure ( for example avoiding obsolete references ) as much as possible.

(Read more about this course on the official course page.)

Holczer Balazs bio

Hi!

(Learn more about this instructor on the official course page.)

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If you like this course, you might also be interested in:

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Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 71 lessons

Duration: 8 Hours of video

What you get: grasp the fundamentals of algorithms and data structures

Target audience: This course is meant for university students with quantitative background (mathematics, computer science) but anyone with core java knowledge can get a good grasp of the lectures

Requirements: Core java

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off Artificial Intelligence & Games in Java (Coupon)

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Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

Artificial Intelligence & Games in Java - Udemy Coupon

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Coupon & course info

Course Name: Artificial Intelligence & Games in Java

Subtitle: A guide how to create smart applications

Instructor: Taught by Holczer Balazs, Software Engineer

Category: IT & Software

Subcategory: Other

Provided by: Udemy

Price: $60 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of March 15, 2016…

Students: 412 students enrolled

Ratings: 12 reviews

Rank: ranked #441 in Udemy IT & Software Courses

Brief course description

This course is about the fundamental concepts of artificial intelligence. This topic is getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detect cancer for example. We may construct algorithms that can have a very very good guess about stocks movement in the market.

In the first chapter we are going to talk about the basic graph algorithms. Several advanced algorithms can be solved with the help of graphs, so as far as I am concerned these algorithms are the first steps.

Second chapter is about local search: finding minimum and maximum or global optimum in the main. These searches are used frequently when we use regression for example and want to find the parameters for the fit.

(Read more about this course on the official course page.)

Holczer Balazs bio

Hi!

(Learn more about this instructor on the official course page.)

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If you like this course, you might also be interested in:

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Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 44 lessons

Duration: 5 Hours of video

What you get: Get a good grasp of artificial intelligence

Target audience: This course is meant for students or anyone who interested in programming and have some background in basic Java

Requirements: Basic Java (SE)

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off Introduction to Machine Learning in R (Coupon)

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Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

Introduction to Machine Learning in R - Udemy Coupon

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Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: Introduction to Machine Learning in R

Subtitle: Learn how to use modern machine learning techniques to all kinds of realistic problems

Instructor: Taught by Holczer Balazs, Software Engineer

Category: IT & Software

Subcategory: Other

Provided by: Udemy

Price: $60 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of March 15, 2016…

Students: 31310 students enrolled

Ratings: 12 reviews

Rank: ranked #485 in Udemy IT & Software Courses

Brief course description

This course is about the fundamental concepts of machine learning, facusing on neural networks. This topic is getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detect cancer for example. We may construct algorithms that can have a very very good guess about stock prices movement in the market.

In the first chapter we are going to talk about the basics of the R programming language. Later, we will talk about neural networks in the main, and the theory behind it. The last chapter is about the concrete examples of neural networks.

…

(Read more about this course on the official course page.)

Holczer Balazs bio

Hi!

(Learn more about this instructor on the official course page.)

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Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 60 lessons

Duration: 5.5 Hours of video

What you get: Understand the basics of neural networks

Target audience: This course is mean for newbies who are familiar with R and looking for some advanced topics. No prior programming knowledge is needed.

Requirements: No prior programming knowledge is needed

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons