Remember when I said this:
I will fight for it. I will not give up. I will reach my goal. Absolutely nothing will stop me.
There you have it!
00#Episode — AISeries — ML — Machine Learning Intro — What Is It and How It Evolves Over Time?
01#Episode — AISeries — Huawei ML FAQ — How do I get an HCIA certificate? (this one:)
02#Episode — AISeries — Huawei ML FAQ Again — More annotation from Huawei Mock Exam
03#Episode — AISeries — AI In Graphics — Getting Intuition About Complex Math & More
Let’s see Pandas DATAFRAMES again! Google colab notebook link:)
Pandas DATAFRAMES: The Primary Pandas Data Structure!
When should I use pandas DataFrame?
The Pandas DataFrame is a structure that contains two-dimensional data and its corresponding labels.
DataFrames are widely used in data science, machine learning, scientific computing, and many other data-intensive fields.
What Follows Example of how to use it:
Please, open your colab notebook and follow me:
01# First thing first. Importing the libraries:
import numpy as np
import pandas as pd%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
02# Let’s create a simple Graphic…
Hi, this time we tried an interesting project: delicacy o/
This will end up with a model that will automatically predict whether a given recipe is a muffin recipe or a cupcake recipe.
Although the cupcake is usually decorated, the shape and appearance are very similar. But the real difference is in the preparation technique.
Cupcake is a cup-sized cake. The cupcake recipe uses techniques for preparing the cake dough. And the muffin is considered a quick roll.Is muffing a cupcake with random bits of stuff…
This is a copy from the University of California, Irvine (UCI) Machine Learning Repository dataset.
Let’s get started!
01#Step — Open your Google colab and type this:
import pandas as pdimport numpy as npimport matplotlib.pyplot as pltimport seaborn as sns%matplotlib inline
02#Step — Let’s download the Breast Cancer Dataset from the Skit-Learn:
from sklearn.datasets import load_breast_cancercancer = load_breast_cancer()print(cancer.DESCR)[basically what this is it's 569 instances with 30 numeric attributes and…
In this post, we going to understand the Support Vector Machine Algorithm using scikit-learn.
Here is the colab notebook: link.
What is a Support Vector Machine?
A simple way to classify observations into two classes is to draw a linear boundary between them:
However, even if the data is perfectly separable in this way there are many possible linear boundaries that could be used.
Hi, I am back!
The idea is to get even more deeply into AI Theories.
I hope these study materials can help you (and myself:) get the Huawei certificate HCIA easily.
We might get a good grade!
Let’s get it on!
Note: ( )Single choice [ ]Multiply choices
Hi, this post just presents a collection of images, Graph, and Gifs to Make You Grasp New Concepts Faster of Artificial Intelligence, ML, and DL ;)
Why visualizing? Visualizations allow us to access simultaneously a rich amount of information that can help us jump quickly to insights that may be hard to decipher from numerical calculations.
Einstein used visualization throughout his life. At age 16, Einstein used visualization when he discovered that the speed of light was always constant. Einstein believed that visual understanding was the most important form of education and more important than knowledge.
So Welcome! Enjoy!
Hi, this post is based on careful scrutiny of the HCIA-AI V3.0 Mock Exam.
Here I comment on what I get wrong during my test…maybe that would be useful for you too o/
These are questions answered here:
Index:01 — What Is Huawei HiLens?
02 — What is Graph-Based Segmentation? Does MindSpore have automatic Graph segmentation?
03 — What does Softmax activation do?
04 — How to Use Grid Search in scikit-learn? What does it take to use it in ML?
05 - Which is better Adam or SGD?
06 — What is the idea behind Ensemble Methods?
07 — How can you Improve…
How do I get a Huawei HCIA certificate?
Well, not yet…but consider studying this material with me while I am preparing for the test:)
I annotated my errors from the HCIA-AI V3.0 Mock Exam :/
Index:01 — Do Pytorch and TensorFlow support GPU Accelerations?
02 — What Is ModelArts?
03 — What is the difference between ANN, CNN, and RNN?
04 — Is Highway Network a Recurrent Neural Network?
05 - What is the Vanishing Gradient Problem (vgp)?
06 — What are the TensorFlow ranks and tensors?
07 — PyTorch use Lua Programming Language?
08 — What is HUAWEI HiAI Foundation?
09 — What is MindSpore?
Hi, Guys o/ I am J3! J of Jungle + 3 Plats Arduino/RPi/Pic; I am just a hobbyist, making studies in electronics to come up with an invention. Welcome! Join me!