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Mike
  • Feb 25, 2020
  • 1 min

XGBoost Master Class Live

If you're interested in learning how to get the most out of XGBoost then this course is for you. I've just finished it. XGBoost is the mo...

1,3881
Mike
  • Feb 6, 2020
  • 1 min

FREE Data Visualization in Python Course

Yep. It's free. I just made this course free. It's all about matplotlib and other tools you'll need to make sense of your data as a machi...

1,3280
Mike
  • Feb 2, 2020
  • 1 min

Sample Interviewing Questions

The last hurdle to a career in applied machine learning is the technical interview, and it's a big one. Let's take a look at a few questi...

3,6550
Mike
  • Jan 30, 2020
  • 4 min

Statistics in Machine Learning

Statistics and machine learning are two very closely related fields. The line between the two can be very blurry at times. Nevertheless, t...

1,6620
Mike
  • Jan 22, 2020
  • 3 min

Phone Screen Preparation

Book excerpt from Acing the Machine Learning Interview (coming soon) Since you may not know when to expect the telephone interview, it is...

7980
Mike
  • Jan 18, 2020
  • 3 min

Multi-Class Classification: XGBoost

The Titanic model was a binary classification problem. The answer was either yes or no which in machine speak was a 1 or a 0. The next mo...

3,4290
Mike
  • Jan 18, 2020
  • 4 min

Gradient Boosting - Part 3

Bagging is used when the goal is to reduce variance. The idea is to create several subsets of data from training samples chosen randomly....

7460
Mike
  • Jan 18, 2020
  • 2 min

Gradient Boosting - Part 2

Now that we have a high-level understanding of how decisions trees operate, let’s learn how they are combined in order to make the model ...

9610
Mike
  • Jan 17, 2020
  • 2 min

Why Python is the King for Machine Learning

Python has become the gold standard for applied machine learning. Currently, there are more job openings for data scientists and machine ...

1,0230
Mike
  • Jan 17, 2020
  • 4 min

How to Become a Machine Learning Engineer in the Applied Space

The machine learning engineer is the top job in the world and that trend will likely continue for quite some time. The pic below is from...

40,6611
Mike
  • Jan 15, 2020
  • 4 min

Data Wrangling and XGBoost

In the real-world data is dirty. Massaging data into the best state possible for modeling is called data wrangling. Let’s wrangle the Ti...

8040
Mike
  • Jan 15, 2020
  • 5 min

XGBoost. A Short Introduction

XGBoost is a supervised machine learning algorithm. That means all the models we build will be done so using an existing dataset. XGBoost...

8530
Mike
  • Jan 14, 2020
  • 5 min

Gradient Boosting - Part 1

Gradient boosting is a power technique for building predictive models. Gradient Boosting is about taking a model that by itself is a weak...

3,5370
Mike
  • Jan 14, 2020
  • 1 min

In the Works - The Technical Interview

The skills you'll need to excel as a machine learning engineer are wide and deep. One of the most stressful events for a machine learning...

5,8960
Mike
  • Dec 29, 2019
  • 3 min

Data Wrangling

Once your data is in an array the next step will be massaging the data into the best possible state for modeling. This includes but not l...

9250
Mike
  • Dec 29, 2019
  • 2 min

The 3 Core Careers in AI

There are three core highly technical roles in this space. The explosion in data science has created and redefined several careers. Data ...

4,1700
Mike
  • Dec 29, 2019
  • 2 min

Array Basics

Machine learning data is represented by arrays. The core data object in machine learning is the array. Machine learning data is represent...

2160
Mike
  • Dec 29, 2019
  • 3 min

What is Machine Learning

In order to understand machine learning you'll need to understand the machine learning hierarchy. The umbrella for all things machine lea...

9950
Mike
  • Dec 29, 2019
  • 2 min

Applied Machine Learning is Programming

The two primary languages used in applied machine learning today are SQL and Python. There's no way around it. If you want to work in the...

2,2702
Mike
  • Dec 29, 2019
  • 3 min

The Machine Learning Process

Machine learning is very process oriented. Data scientists and machine learning engineers follow the same core steps every time they are ...

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