Machine Learning, NLP & Python-Cut to the Chase

Prerequisites: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided.

Taught by a Stanford-educated, ex-Googler and an IIT, IIM – educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce.

This course is a down-to-earth, shy but confident take on machine learning techniques that you can put to work today

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Let’s parse that.

The course is down-to-earth : it makes everything as simple as possible – but not simpler

The course is shy but confident : It is authoritative, drawn from decades of practical experience -but shies away from needlessly complicating stuff.

You can put ML to work today : If Machine Learning is a car, this car will have you driving today. It won’t tell you what the carburetor is.

The course is very visual : most of the techniques are explained with the help of animations to help you understand better.

This course is practical as well : There are hundreds of lines of source code with comments that can be used directly to implement natural language processing and machine learning for text summarization, text classification in Python.

The course is also quirky. The examples are irreverent. Lots of little touches: repetition, zooming out so we remember the big picture, active learning with plenty of quizzes. There’s also a peppy soundtrack, and art – all shown by studies to improve cognition and recall.

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What’s Covered:

Machine Learning:

  • Supervised/Unsupervised learning, Classification, Clustering, Association Detection, Anomaly Detection, Dimensionality Reduction, Regression.
  • Naive Bayes, K-nearest neighbours, Support Vector Machines, Artificial Neural Networks, K-means, Hierarchical clustering, Principal Components Analysis, Linear regression, Logistics regression, Random variables, Bayes theorem, Bias-variance tradeoff

Natural Language Processing with Python:

  • Corpora, stopwords, sentence and word parsing, auto-summarization, sentiment analysis (as a special case of classification), TF-IDF, Document Distance, Text summarization, Text classification with Naive Bayes and K-Nearest Neighbours and Clustering with K-Means

Sentiment Analysis:

  • Why it’s useful, Approaches to solving – Rule-Based , ML-Based , Training , Feature Extraction, Sentiment Lexicons, Regular Expressions, Twitter API, Sentiment Analysis of Tweets with Python

Mitigating Overfitting with Ensemble Learning:

  • Decision trees and decision tree learning, Overfitting in decision trees, Techniques to mitigate overfitting (cross validation, regularization), Ensemble learning and Random forests
  • Recommendations: Content based filtering, Collaborative filtering and Association Rules learning
  • Get started with Deep learning: Apply Multi-layer perceptrons to the MNIST Digit recognition problem
  • A Note on Python: The code-alongs in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-alongs. The source code has been provided for both Python 2 and Python 3 wherever possible

Who is the target audience?

  • Yep! Analytics professionals, modelers, big data professionals who haven’t had exposure to machine learning
  • Yep! Engineers who want to understand or learn machine learning and apply it to problems they are solving
  • Yep! Product managers who want to have intelligent conversations with data scientists and engineers about machine learning
  • Yep! Tech executives and investors who are interested in big data, machine learning or natural language processing
  • Yep! MBA graduates or business professionals who are looking to move to a heavily quantitative role
Basic knowledge
  • No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided
What you will learn
  • Identify situations that call for the use of Machine Learning
  • Understand which type of Machine learning problem you are solving and choose the appropriate solution
  • Use Machine Learning and Natural Language processing to solve problems like text classification, text summarization in Python

To Learn More:

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How To Do Keyword Research For SEO & Ranking On Google

About this Course

Are you looking for more information on how to do keyword research for SEO and ranking your content on Google?

In this course we explain why keyword research is a critical first step in achieving results with your content.

Have you have ever produced a blog article and wondered why you were not getting any website traffic?

The simple answer is that your article may not contain keywords people are searching for!

In this course we take you step by step through every step needed to do the proper research needed to find keywords people are actually looking for on Google.

how-to-boost-SEO

In this course you will learn:

  • Why keyword research is the first thing you should do before producing any content on a website
  • How to use the Google Keyword Planner. This includes seeking out keywords, finding keyword volume, merging keywords, and working with bulk data.
  • Doing advanced keyword research and competition analysis with tools such as Long Tail Pro, Majestic, SEMRush, Ahrefs and Moz.
  • Understanding what Long Tail keywords are and how you can utilize these to create content that generates lots of traffic for your website.
  • How to use additional free sites like Quora, Soovle, UberSuggest, Google Trends and much more to do additional keyword research.
  • Determining commercial intent with your keywords – Learning if your content will encourage others to buy products from you.
  • Advanced competition analysis – Determine if a keyword is worth trying to rank and if it’s even possible for you based on the existing competition.

We even include a live case study of a perfect long tail keyword generating revenue with Amazon products through the Amazon affiliate program.

If you have ever wanted to learn more about keyword research this course includes everything you need to know about finding the best keywords out there!

Who this course is for:

  • If you are interested in content marketing or blogging this course is a must watch!
  • If you have been struggling with content ideas this course will help you discover what people are really looking for online
  • If you are not willing to spend time analyzing data to determine keyword volume and you have no interest in content marketing this course may not be for you

SEO

Basic knowledge
  • You will be shown various tools for Keyword research which are free but some are paid (not required)
  • You should have a Google Drive document ready to collect keyword data
  • A Google Adwords / Google Account for using the basic free keyword tools
What you will learn
  • Learn to use the Google Keyword Planner
  • Learn how to successfully find keywords for creating content around
  • Understand how to find keywords that people search for on Google
  • Learn how to utilize various tools for doing research on keywords
  • Understand what long tail keywords are
  • Understand why keyword research is important as a first step for SEO success
    About this Course

    Are you looking for more information on how to do keyword research for SEO and ranking your content on Google?

    In this course we explain why keyword research is a critical first step in achieving results with your content.

    Have you have ever produced a blog article and wondered why you were not getting any website traffic?

    The simple answer is that your article may not contain keywords people are searching for!

    In this course we take you step by step through every step needed to do the proper research needed to find keywords people are actually looking for on Google.

    In this course you will learn:

    • Why keyword research is the first thing you should do before producing any content on a website
    • How to use the Google Keyword Planner. This includes seeking out keywords, finding keyword volume, merging keywords, and working with bulk data.
    • Doing advanced keyword research and competition analysis with tools such as Long Tail Pro, Majestic, SEMRush, Ahrefs and Moz.
    • Understanding what Long Tail keywords are and how you can utilize these to create content that generates lots of traffic for your website.
    • How to use additional free sites like Quora, Soovle, UberSuggest, Google Trends and much more to do additional keyword research.
    • Determining commercial intent with your keywords – Learning if your content will encourage others to buy products from you.
    • Advanced competition analysis – Determine if a keyword is worth trying to rank and if it’s even possible for you based on the existing competition.

    We even include a live case study of a perfect long tail keyword generating revenue with Amazon products through the Amazon affiliate program.

    If you have ever wanted to learn more about keyword research this course includes everything you need to know about finding the best keywords out there!

    SEO getting your website

    Who this course is for:

    • If you are interested in content marketing or blogging this course is a must watch!
    • If you have been struggling with content ideas this course will help you discover what people are really looking for online
    • If you are not willing to spend time analyzing data to determine keyword volume and you have no interest in content marketing this course may not be for you
    Basic knowledge
    • You will be shown various tools for Keyword research which are free but some are paid (not required)
    • You should have a Google Drive document ready to collect keyword data
    • A Google Adwords / Google Account for using the basic free keyword tools
    What you will learn
    • Learn to use the Google Keyword Planner
    • Learn how to successfully find keywords for creating content around
    • Understand how to find keywords that people search for on Google
    • Learn how to utilize various tools for doing research on keywords
    • Understand what long tail keywords are
    • Understand why keyword research is important as a first step for SEO success

    To learn More:

Machine Learning In The Cloud With Azure Machine Learning

About this Course

The history of data science, machine learning, and artificial Intelligence is long, but it’s only recently that technology companies – both start-ups and tech giants across the globe have begun to get excited about it… Why? Because now it works. With the arrival of cloud computing and multi-core machines – we have enough compute capacity at our disposal to churn large volumes of data and dig out the hidden patterns contained in these mountains of data.

Machine learning

This technology comes in handy, especially when handling Big Data. Today, companies collect and accumulate data at massive, unmanageable rates for website clicks, credit card transactions, GPS trails, social media interactions, and so on. And it is becoming a challenge to process all the valuable information and use it in a meaningful way. This is where machine learning algorithms come into the picture. These algorithms use all the collected “past” data to learn patterns and predict results or insights that help us make better decisions backed by actual analysis.

You may have experienced various examples of Machine Learning in your daily life (in some cases without even realizing it). Take for example

Credit scoring, which helps the banks to decide whether to grant the loans to a particular customer or not – based on their credit history, historical loan applications, customers’ data and so on

Or the latest technological revolution from right from science fiction movies – the self-driving cars, which use Computer vision, image processing, and machine learning algorithms to learn from actual drivers’ behavior.

Or Amazon’s recommendation engine which recommends products based on buying patterns of millions of consumers.

In all these examples, machine learning is used to build models from historical data, to forecast the future events with an acceptable level of reliability. This concept is known as Predictive analytics. To get more accuracy in the analysis, we can also combine machine learning with other techniques such as data mining or statistical modeling.

This progress in the field of machine learning is great news for the tech industry and humanity in general.

But the downside is that there aren’t enough data scientists or machine learning engineers who understand these complex topics.

Well, what if there was an easy to use a web service in the cloud – which could do most of the heavy lifting for us? What if scaled dynamically based on our data volume and velocity?

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The answer – is new cloud service from Microsoft called Azure Machine Learning. Azure Machine Learning is a cloud-based data science and machine learning service which is easy to use and is robust and scalable like other Azure cloud services. It provides visual and collaborative tools to create a predictive model which will be ready-to-consume on web services without worrying about the hardware or the VMs which perform the calculations.

The advantage of Azure ML is that it provides a UI-based interface and pre-defined algorithms that can be used to create a training model. And it also supports various programming and scripting languages like R and Python.

In this course, we will discuss Azure Machine Learning in detail. You will learn what features it provides and how it is used. We will explore how to process some real-world datasets and find some patterns in that dataset.

Do you know what it takes to build sophisticated machine learning models in the cloud?

How to expose these models in the form of web services?

Do you know how you can share your machine learning models with non-technical knowledge workers and hand them the power of data analysis?

These are some of the fundamental problems data scientists and engineers struggle with on a daily basis.

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This course teaches you how to design, deploy, configure and manage your machine learning models with Azure Machine Learning. The course will start with an introduction to the Azure ML toolset and features provided by it and then dive deeper into building some machine learning models based on some real-world problems.

If you’re serious about building scalable, flexible and powerful machine learning models in the cloud, then this course is for you.

These data science skills are in great demand, but there’s no easy way to acquire this knowledge. Rather than rely on hit and trial method, this course will provide you with all the information you need to get started with your machine learning projects.

 

Startups and technology companies pay big bucks for experience and skills in these technologies They demand data science and cloud engineers make sense of their dormant data collected on their servers – and in turn, you can demand top dollar for your abilities.

You may be a data science veteran or an enthusiast – if you invest your time and bring an eagerness to learn, we guarantee you real, actionable education at a fraction of the cost you can demand as a data science engineer or a consultant. We are confident your investment will come back to you many-fold in no time.

So, if you’re ready to make a change and learn how to build some cool machine learning models in the cloud, click the “Add to Cart” button below.

Look, if you’re serious about becoming an expert data engineer and generating a greater income for you and your family, it’s time to take action.

Imagine getting that promotion which you’ve been promised for the last two presidential terms. Imagine getting chased by recruiters looking for skilled and experienced engineers by companies that are desperately seeking help. We call those good problems to have.

Imagine getting a massive bump in your income because of your newly-acquired, in-demand skills.

That’s what we want for you. If that’s what you want for yourself, click the “Add to Cart” button below and get started today with our “Machine Learning In The Cloud With Azure Machine Learning”.

Let’s do this together!

Who is the target audience?

  • Data science enthusiasts
  • Software and IT engineers
  • Statisticians
  • Cloud engineers
  • Software architects
  • Technical and non-technical tech founders
Basic knowledge
  • Access to a free or paid account for Azure
  • Basic knowledge about cloud computing and data science
  • Basic knowledge about IT infrastructure setup
  • Desire to learn something new and continuous improvement
What you will learn
  • Learn about Azure Machine Learning
  • Learn about various machine learning algorithms supported by Azure Machine Learning
  • Learn how to build and run a machine learning experiment with real world datasets
  • Learn how to use classification machine learning algorithms
  • Learn how to use regression machine learning algorithms
  • Learn how to expose the Azure ML machine learning experiment as a web service or API
  • Learn how to integrate the Azure ML machine learning experiment API with a web application

To Read More:

You Can Become a Motivational Speaker

About this Course

Motivational Speaking: You Can Become a Motivational Speaker

Imagine yourself speaking on the stage in front of hundreds or thousands of people. Your words are inspiring and motivating your audience to make changes and take positive actions. You can lead from the platform!

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How to Be a Motivational Speaker

In this “How to be a Motivational Speaker” course you will learn the fundamentals of how to structure a motivational speech and how to run a motivational speaking business. Everyone has a story to their life, but not everyone has a story that is interesting enough or compelling enough to motivate other people from the platform. This course will guide you through the process of positioning yourself, crafting your speech, improving your platform skills and building a motivational speaking business.

TJ Walker is a coach and trainer to motivational speakers around the globe. Additionally, he gives motivational speeches worldwide on the power of personal expression.

Why wait even one more day before you can start sharing your message with others? Sign up today for this course today.

There is a 100% Money-Back Guarantee for this course. And the instructor also provides an enhanced guarantee..

Who is the target audience?

  • This course is for aspiring motivational speakers
Basic knowledge
  • You will need to video record and review your speeches using a cell phone, tablet or webcam
What you will learn
  • Motivate speaking audiences
  • Develop a keynote speech
  • Create a motivational speaking business model

To Read More:

Cyber Security : Hackers Exposed

About this Course

This course covers the fundamental building blocks of your required skillset – You will understand the threat and vulnerability landscape through threat modelling and the risk assessment.

We explore the Darknet and mind-set of the cyber criminal. Covering malware, exploit kits, phishing, zero day vulnerabilities and much more.

cyborg holding two energy charges

You will learn about the global tracking and hacking infrastructures that nation states run. Covering the NSA, FBI, CIA, GCHQ, China’s MSS and other intelligence agencies capabilities.

You will understand the foundations of operating system security and privacy functionality. A close look at the new Windows 10 privacy issues and how to best mitigate them.

There is a complete easy to follow crash course on encryption, how encryption can be bypassed and what you can do to mitigate the risks.

Master defences against phishing, SMShing, vishing, identity theft, scam, cons an other social engineering threats.

Ethical hacking most advanced

Finally we cover the extremely important, but underused security control of isolation and compartmentalization. Covering sandboxes, application isolation, virtual machines, Whonix and Qubes OS.

This is volume 1 of 4 of your complete guide to cyber security privacy and anonymity.

Basic knowledge
  • A basic understanding of using operating systems, networks, and the Internet . Be able to download and install software. A willingness to learn.
  • Please note this is Volume 1 of 4 of the complete course. After the completion of all 4 volumes, you will know more than 80% of security professionals , government and law enforcement agents and even expert hackers about maintaining security, privacy, and anonymity.
What you will learn
  • An advanced practical skillset in defeating all online threats – advanced hackers, trackers, malware and all Internet nastiness including mitigating government spying and mass surveillance
  • The very latest up-to-date information and methods
  • We cover operating system security, privacy, and patching – On Windows 7, Windows 8, Windows 10, MacOS and Linux
  • Explore the threat landscape – Darknets, dark markets, zero day vulnerabilities, exploit kits, malware, phishing and much more
  • You will master encryption in an easy to follow crash course
  • Go in-depth into security through physical and virtual isolation and compartmentalization Covering sandboxes, application isolation, virtual machines, Whonix and Qubes OS
  • You will learn about nation state secret tracking and hacking infrastructure

To Read More:

Self Love and Self Confidence

Want more confidence in life to be able to do the things that you always dreamed of doing?

What about being at peace within yourself and truly accepting you for being you?

Want to silence the inner critic that puts you down and makes you feel as though you are not enough?

digital marketing stratergy with xink

With the techniques and lessons in this course you can achieve all of this and much more! You will learn quick and easy ways to pull yourself out of a rut, different ways of thinking about things and proven techniques that will change your life and put you more at ease!

Starting with easy things that you can do each and everyday, to downloadable hypnosis sessions that you can listen to at ease for a lifetime to create lasting change.

This course is broken down into easy to follow chucks for each batch of lessons, so that you can do them at your leisure.

By the end of the course you will be able to live more contently and with the confidence to be able to do just about anything you desire in life!

Basic knowledge
  • None what so ever, just a keen interest in self development and improving your life
What you will learn
  • Simple easy techniques that will help you to shift your mindset and allow you to live with more ease and confidence. You will learn what programs are running in the background of your life that are holding you back, and how to erase them for good

To Know More:

Positive Mental Health

This e-learning course on Positive Mental Health, developed and presented by Carolyn Barber, offers a foundation for understanding the various components of mental health and well-being. It will be of value to professionals in the caring professions as well as to informal carers supporting people with mental health problems and, indeed, for individuals wanting to make a positive contribution to their own mental health. It is the equivalent of a full-day’s continuous professional development, but constructed in such a way as to enable flexible study to suit your own schedule.

Positive Mental Health

It is based on a 5Cs model of mental health based on five key elements:

  • Challenge
  • Character
  • Composure
  • Connection
  • Creativity

The course explores each of these in turn, offering first an overview of the important role of the element concerned, then a review of what light research and theory cast on it, a consideration of different approaches to addressing the important issues involved and, finally, additional information about particular tools or methods that can prove helpful in promoting positive mental health.

In today’s pressurised and fast-moving world many people are experiencing difficulties in maintaining good mental health. So, whether you are looking towards improving your own mental health or you work in a setting where supporting others to meet their mental health needs, this course will will give you a firm foundation on which to build.

Written and presented by a highly experienced expert in the mental health field, this course offers an excellent basis for learning how to rise to the many mental health challenges we face.

Who is the target audience?

  • Members of the caring professions involved in promoting good mental health
  • Managers and human resource professionals committed to good mental health in the worlplace
  • Members of the general public interested in improving their own mental health or that of friends, relatives or colleagues
Basic knowledge
  • There are no specific requirements for this course except an interest in, and a commitment to, promoting positive mental health
What you will learn
  • Develop a broader perspective on the research and theory around what contributes to good mental health;
  • Identify specific methods which can be applied in direct work to support people experiencing poor mental health and mental ill-health.
  • Explore self-care in relation to good mental health, well-being and resilience.

To KnowMore: