MikeFeb 251 minXGBoost Master Class LiveIf 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...
MikeFeb 61 minFREE Data Visualization in Python CourseYep. 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...
MikeFeb 21 minSample 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...
MikeJan 304 minStatistics in Machine LearningStatistics and machine learning are two very closely related fields. The line between the two can be very blurry at times. Nevertheless, t...
MikeJan 223 minPhone 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...
MikeJan 183 minMulti-Class Classification: XGBoostThe 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...
MikeJan 184 minGradient Boosting - Part 3Bagging is used when the goal is to reduce variance. The idea is to create several subsets of data from training samples chosen randomly....
MikeJan 182 minGradient Boosting - Part 2Now 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 ...
MikeJan 172 minWhy Python is the King for Machine LearningPython has become the gold standard for applied machine learning. Currently, there are more job openings for data scientists and machine ...
MikeJan 174 minHow to Become a Machine Learning Engineer in the Applied SpaceThe 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...
MikeJan 154 minData Wrangling and XGBoostIn the real-world data is dirty. Massaging data into the best state possible for modeling is called data wrangling. Let’s wrangle the Ti...
MikeJan 155 minXGBoost. A Short IntroductionXGBoost is a supervised machine learning algorithm. That means all the models we build will be done so using an existing dataset. XGBoost...
MikeJan 145 minGradient Boosting - Part 1Gradient boosting is a power technique for building predictive models. Gradient Boosting is about taking a model that by itself is a weak...
MikeJan 141 minIn the Works - The Technical InterviewThe 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...
MikeDec 29, 20193 minData 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...
MikeDec 29, 20192 minThe 3 Core Careers in AIThere are three core highly technical roles in this space. The explosion in data science has created and redefined several careers. Data ...
MikeDec 29, 20192 minArray BasicsMachine learning data is represented by arrays. The core data object in machine learning is the array. Machine learning data is represent...
MikeDec 29, 20193 minWhat is Machine LearningIn order to understand machine learning you'll need to understand the machine learning hierarchy. The umbrella for all things machine lea...
MikeDec 29, 20192 minApplied Machine Learning is ProgrammingThe 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...
MikeDec 29, 20193 minThe Machine Learning ProcessMachine learning is very process oriented. Data scientists and machine learning engineers follow the same core steps every time they are ...