Category: Uncategorized

Hi Folks,

We recently updated our AWS Certified Data Analytics prep course on Udemy for changes in 2021. S3 now offers strong consistency, making EMRFS consistent by default. Amazon’s guidance for choosing instance types for EMR clusters has also been updated, and the maximum retention period for Kinesis has increased from 7 to 365 days. We don’t know how quickly the exam will adapt to these changes, but you’ll know about them when they do.

Cloudera has also been making some changes to their pricing to require subscriptions for pretty much everything, and as such, they’ve made the free Hortonworks Data Platform Sandbox (which we use in our Ultimate Hands-On Hadoop course) hard to find. We’ve updated our setup lecture to point you in the right place for that.

There have been numerous other small updates to most of our courses since our last update; the start of the year tends to come with a lot of change. But as always, we remain committed to keeping our courses up to date for you!

The latest news in data science and machine learning includes four predictions for AI & Machine Learning in 2021, how AI can improve website security, and public datasets are improving decision making.

Stay in the loop! Follow us on Facebook, Twitter, and LinkedIn. Or join one of our free Facebook Groups.

Here are some news highlights from the past couple of weeks:

Four Predictions For Artificial Intelligence And Machine Learning In 2021

How AI Can Improve Your Website Security

Using AI And Machine Learning To Break Past The Constraints Of The ‘New Normal’

Will Data Engineering Efforts Reduce In The Future?

Using Public Datasets For Improved Decision-Making

The Power Of Server-Based Data Reporting

Data Visualization and Exploratory Data Analysis (EDA) in Data Science

NoOps Machine Learning

Fundamentals of Linear Regression for Machine Learning

Thanks for your recent reviews:

To leave or update a review visit: https://bit.ly/2SHTLTa

As always thank you for having me along on your learning journey!

Frank Kane

CEO/Founder of Sundog Education

The latest news in data science and machine learning includes cleaning text data with python, will AI scale in 2021, and how big data is fueling Tesla’s self-driving car. 

Stay in the loop! Follow us on Facebook, Twitter, and LinkedIn. Or join one of our free Facebook Groups.

Here are some news highlights from the past couple of weeks:

Where Can I Find Data For My Analytics or Data Science Project?

Understanding ARIMA Forecasting

Cleaning text data with Python

AI Accuracy Is Overrated: How Even A “Wrong” Model Can Transform Your Business

Will 2021 Be The Year That AI Finally Scales?

A Major Business Breakthrough In AI Is Happening Now — Do You Know About It?

How To Stay Relevant As A Machine Learning Engineer In 2021

Anatomy Of A Quantum Machine Learning Algorithm

How Big Data fuels Tesla’s self-driven cars

Thank you for your recent course reviews: 

To leave or update a review visit: https://bit.ly/2SHTLTa 

As always thank you for having me along on your learning journey!

Frank Kane

CEO/Founder of Sundog Education

Hi Folks,

Everyone knows machine learning is a hot skill and a lucrative one. According to Glassdoor, the average base pay for a machine learning engineer as we enter 2021 is more than $114,000 per year in the United States. 

Many employers also offer more perks, such as bonuses and equity, that can amount to much more than your base pay as your machine learning engineer career progresses.

Landing a machine learning engineering job isn’t easy, however. The skills and experience you need are broader than you may think, and they fall under a variety of different job titles.

In this recent blog I wrote on Udemy I share How to Become a Machine Learning Engineer in 2021 – click here to read the full blog: https://bit.ly/2K4MFXM 

Make sure you never miss out on the latest from Sundog Education – follow us on Facebook, Twitter, and LinkedIn. Or join one of our free Facebook Groups.

Here are some news highlights from the past couple of weeks:

Restoring Credibility Of Machine Learning Pipeline Output Through Blockchain Data

13 Ways To Effectively Leverage Big Data For Business Development

Big Data From Enterprise AI Will Unleash The New Era Of AI-Driven WAN And AIOps

How Bad Data Is Undermining Big Data Analytics

The Data Land-Grab Continues As S&P Global Acquires IHS Markit For $44 Billion

More Data Stories, Fewer Data Dumps

Artificial Intelligence, Deep Learning, and Machine Learning

We hope our courses have helped you out and leaving a review an easy way to help us out too. 

Click here to leave a course review: https://bit.ly/2SHTLTa 

Thanks so much!

And as always thank you for having me along on your learning journey!

Frank Kane

CEO/Founder of Sundog Education

The latest news in data science, machine learning, and AI includes, machine learning helping reduce carbon emissions, AI predicting criminal behavior, and master data eating AI for breakfast. For the rest of the latest news scroll down. 

Make sure you never miss out on the latest from Sundog Education – follow us on Facebook, Twitter, and LinkedIn. Or join one of our free Facebook Groups.

Here are some highlights from the past couple of weeks:

Using Machine Learning To Reduce Carbon Emissions In The Trucking Industry

Can AI predict criminal behaviour?

Data Science Startup Dataiku Raises $100 Million To Keep Growing Its AI Enablement Software

Deep Science: Robot perception, acoustic monitoring, using ML to detect arthritis

What’s New In Gartner’s Hype Cycle For AI, 2020

Edge Computing: Where The Action Is And How To Implement It

This AI Deepfakes Reality In The Name Of Privacy

Master Data Eats AI For Breakfast

Thank you to those of you who have left reviews this week, we really appreciate it!

We hope our courses have helped you out and leaving a review an easy way to help us out too. 

Click here to leave a course review: https://www.udemy.com/home/my-courses/learning/ 

And as always thank you for having me along on your learning journey!

Frank Kane

CEO/Founder of Sundog Education

As an instructor on Udemy, I’m always looking for new ways to help my students learn more about Machine learning, data science, and deep learning.

I recently published a couple of blog posts on Udemy’s blog. You can check them out here:

Machine learning vs. deep learning: what’s the difference?

What is machine learning and how does it work?

As always check out the rest of the latest news in AI, Data Science & Deep Learning below.

Make sure you never miss out on the latest from Sundog Education – follow us on Facebook, Twitter, and LinkedIn. Or join one of our free Facebook Groups.

Here are some highlights from the past couple of weeks:

Five ways Artificial Intelligence is transforming finance

This AI analyzes placentas to predict complications in the next pregnancy

A Machine-Learning Assist to Predicting Hurricane Intensity

Motional releases expanded self-driving data set with over 1.4 billion annotated lidar points

Beyond the Buzzword: 6 Cutting-Edge Applications of AI

Toward a machine learning model that can reason about everyday actions

Participation-washing could be the next dangerous fad in machine learning

50 new planets confirmed in machine learning first

United States establishes a dozen AI and quantum information science research centers

And as always, thanks for having me along on your learning journey.

Frank Kane

CEO/Founder of Sundog Education

Hi Folks,

We’ve recently updated our Apache Spark courses (“Apache Spark with Scala – Hands On with Big Data” and “Taming Big Data with Apache Spark and Python – Hands On!”) to add even more hands-on exercises, and expanded coverage of DataFrames, DataSets, and the Spark ML library. If you’re enrolled in these courses, be sure to revisit the setup lecture to get the updated course materials!

Also, please welcome our newest teaching assistant, Maria Cristina! Maria will be helping out students of our MapReduce, Recommender Systems, Computer Vision, and AWS Lambda courses. She comes with a strong background in data science, mathematics, and education, and we’re excited to add her to our team!

Some of the latest news in machine learning, data science, and deep learning includes…art with AI, the top 5 machine learning algorithms of today, and how AI makes century-old films look brand new.

As always check out the rest of the latest news in AI, Data Science & Deep Learning below.

Make sure you never miss out on the latest from Sundog Education – follow us on Facebook, Twitter, and LinkedIn. Or join one of our free Facebook Groups.

Here are some highlights from the past couple of weeks:

AI Magic Makes Century-Old Films Look New

Five ways Artificial Intelligence is transforming finance

Can artificial intelligence create a decent dinner?

The Top 5 Machine Learning Algorithms

Art with AI: Turning photographs into artwork with Neural Style Transfer

10 Ways AI Improves Pricing And Revenue Management

Waymo’s head of lidar explains how the advanced laser tech went from science fiction to being a vital tool for self-driving cars

Quantum and classical computers handle time differently. What does that mean for AI?

Frank Kane

CEO/Founder of Sundog Education

This week’s latest news in AI, Machine Learning, and Data Science includes; how AI can help small businesses compete with bigger companies, on-device intelligence, and 5 reasons to become a data scientist. 

Get the rest of the latest news in AI, Data Science & Deep Learning below.

Make sure you never miss out on the latest from Sundog Education – follow us on Facebook, Twitter, and LinkedIn. Or join one of our free Facebook Groups.

Here are some highlights from the past couple of weeks:

How AI Can Help Small And Medium Businesses Compete Against Big Companies

AI model developed to identify individual birds without tagging

New Zealand claims world first in setting standards for government use of algorithms | New Zealand

Data Science and the Art of Persuasion

How to identify the right independent variables for Machine Learning Supervised Algorithms?

5G+AI, On-device intelligence

The Top 5 Reasons to Become a Data Scientist

Do you want to train a simplified self-driving car with Reinforcement Learning?

Can you do us a favor? We need more reviews on Udemy, and your opinion is important! 

Please take a moment to visit Udemy and leave a quick rating, along with a few words, for Sundog Education’s courses. 

We hope our courses have helped you out, and this is an easy way to help us out too. Thanks so much!

Frank Kane

CEO/Founder of Sundog Education

The latest news in AI, Machine Learning, and Data Science includes; US funds an AI project to enable 5G spectrum sharing, developers are still in high demand despite COVID-19, and self-driving trucks hit the road in the US.

Get the rest of the latest news in AI, Data Science & Deep Learning below.

Make sure you never miss out on the latest from Sundog Education – follow us on Facebook, Twitter, and LinkedIn. Or join one of our free Facebook Groups.

Here are some highlights from the past couple of weeks:

BBC launches Beeb voice assistant in partnership with Microsoft

U.S. funds AI project to enable millisecond-level 5G spectrum sharing

Federated Analytics: Collaborative Data Science without Data Collection

Exclusive: Machine Learning Company Insitro Raises $143 Million To Bridge Biology And AI

Developers still kings of tech jobs through Covid

A Bird? A Plane? No, It’s a Google Balloon Beaming the Internet

Growing Artificial Organs With Help From Machine Learning

After this COVID winter comes an AI spring

Self-driving trucks from Waymo and TuSimple hit the road in the US

As always thank you for having me along on your learning journey. 

Frank Kane

CEO/Founder of Sundog Education

The latest news in AI, Machine Learning, and Data Science includes; self-driving start-up Argo AI expands to Europe, AI is helping scientists decipher coronavirus research, and you can now help a Mars Rover’s AI tell rocks from dirt. 

Get the rest of the latest news in AI, Data Science & Deep Learning below.

Make sure you never miss out on the latest from Sundog Education – follow us on Facebook, Twitter, and LinkedIn. Or join one of our free Facebook Groups.

Here are some highlights from the past couple of weeks:

AI Helps Scientists Decipher Flood of Coronavirus Research

5 Ways To Close More Deals In A Downturn Using AI

Google’s latest experiment is Keen, an automated, machine-learning-based version of Pinterest

The key differences between rule-based AI and machine learning

Self-driving vehicle startup Argo AI completes $2.6B deal with Volkswagen, expands to Europe

You can help a Mars Rover’s AI learn to tell rocks from dirt

The startup making deep learning possible without specialized hardware

As always thank you for having me along on your learning journey. 

Frank Kane

CEO/Founder of Sundog Education

We’ve seen a lot of growth in new students, and we need some extra help answering their questions on Udemy. If you’re interested, please complete the form below. I expect we’ll get more applicants than we can respond to, so I can’t promise a response to everyone. But, we’ll contact you if we’d like to move forward. Thank you!

QUESTION 1:

How would you answer the following actual student question from “Autonomous Cars: Deep Learning and Computer Vision with Python?” This was asked on lecture video http://media.sundog-soft.com/Udemy/8.4.SVMActivity.mp4

What aspects define contribute in the classification report

I am running the same script provided from the course, what I realized is that I have different precision, recall, and F1 score values (I have got  .96,.97,97), as well as the array of the model prediction, my question is what are aspects taking into consideration when developing a model, why my classification is different than yours, even if we used the same data, is it related to PC used, python version…etc?

QUESTION 2:

How would you answer the following actual student question from “Building Recommender Systems?” For reference, the question was attached to this lesson video: http://media.sundog-soft.com/Udemy/034.ItemBasedActivity.mp4

How to map back cosine similarity matrix to itemid’s ?

simsMatrix which is in numpy array format  i am converting it into pandas dataframe using

pd.DataFrame and for column and index  i am giving list of movieid’s in ascending order i.e

[1 , 2 , ………………. ,163949 ] which is the range of movieid’s in movie lens dataset is this correct format of mapping .

QUESTION 3:

How would you answer the following actual student question from “Build a Serverless App with AWS Lambda?” (on the video http://media.sundog-soft.com/Udemy/44-NewConversation.mp4) :

i can’t able to see the list of conversations . While inspacting element , it tells me result.data.forEach is not a function ?