Tag Archive: deals

KEY FEATURES

Wireless headphones are ideal for running and exercising, but not all are immune to that hard-earned sweat dripping down the side of your head. Enter these Bluetooth headphones. Immune to sweat, they’ll deliver top quality, wireless sound right through your toughest workouts.

• Sweatproof design makes them perfect for working out
• Wireless Bluetooth design allows you to listen to audio without fumbling w/ wires
• Battery life lasts for up to 6 hours, giving you a ton of listening time

PRODUCT SPECS

Details & Requirements

• Sweatproof
• Battery capacity: 120mAh
• Music time: 5 hours
• Talk time: 6 hours
• Standby time: 150 hours
• Charging time: 2 hours
• Earphone weight: 19.1 g

Includes

• Sweatproof Bluetooth Headphones (black)

KEY FEATURES

Knowing how to build websites is one of the easiest ways to make your resume stand out – and to start making money independently. In this bundle, you’ll get comprehensive introduction to two of the most common web design languages, HTML5 and CSS3. You’ll learn how to build sites from scratch and how to optimize wireframing practices to build multiple sites in a considerably more streamlined workflow.

• Access 5 courses & 30 hours of content
• Learn how to design websites w/ HTML5 & CSS3
• Understand website wireframing to streamline your workflow
• Apply design to wireframes w/ HTML5 & CSS3
• Build response websites from scratch
• Create floating layouts w/ CSS

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming
• Certification of completion included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all level

Compatibility

• Internet required
• Basic literacy & numeracy skills required
• System requirement:
  • Microsoft Windows XP or newer
  • Mac OS X/iOS 6 or newer
• Browser requirement:
  • Internet Explorer 8 or newer
  • Most recent version of Firefox, Chrome or Safari
• Internet bandwidth of 1 MB & up
• Flash player or browser w/ HTML5 video capabilities
• Access to Adobe Acrobat Reader required

THE EXPERT

Courses For Success is an online e-learning platform that aims to revolutionize education through its easy-to-access, self-paced courses. It specializes in courses dealing with business and professional topics ranging from personal management techniques to software commonly used in the workplace.

For more details on the course and instructor, click here.

KEY FEATURES

Whether you’re looking to build websites professionally or just for your own personal use, you’ll find this 5-course bundle extremely helpful. Don’t pay for access to a limited site-building assistant – learn to do it on your own! You’ll explore how to build templates for professional looking webpages, wireframing and UI design, and how to actually get your website responding the way you want.

• Access 5 courses & 35 hours of content 24/7
• Learn how to build websites w/ Photoshop CC
• Create web layouts from scratch
• Design webpages using HTML5 & CSS3
• Build responsive websites w/ HTML5 & CSS3
• Use Dreamweaver CS6 to create multi-page sites

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming
• Certification of completion included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all level

Compatibility

• Internet required
• Basic literacy & numeracy skills required
• System requirement:
  • Microsoft Windows XP or newer
  • Mac OS X/iOS 6 or newer
• Browser requirement:
  • Internet Explorer 8 or newer
  • Most recent version of Firefox, Chrome or Safari
• Internet bandwidth of 1 MB & up
• Flash player or browser w/ HTML5 video capabilities
• Access to Adobe Acrobat Reader required

THE EXPERT

Courses For Success is an online e-learning platform that aims to revolutionize education through its easy-to-access, self-paced courses. It specializes in courses dealing with business and professional topics ranging from personal management techniques to software commonly used in the workplace.

For more details on the course and instructor, click here.

KEY FEATURES

It’s obviously important to lock your bike whenever you’re not using it, but that can be an inconvenience for people you actually want to share a bike with. With Bitlock, you’ve got nothing to worry about. Put Bitlock on your bike and you won’t be keeping track of any more keys – the lock is controlled by your smartphone, and access is super easy to share.

Bitlock’s system means you can tap into the sharing economy by sharing your bike’s access with others, provisioning and revoking digital keys as you see fit,” TechCrunch

• Unlock your bike lock directly from your phone – no keys or combinations required
• Share location & access to your bike w/ friends & family
• Keep track of your cycling activity like trip length, duration, & calories burnt through your Bitlock
• Open Bitlock w/ a secret backup combination when your phone dies
• Remember where you locked your bike up earlier w/ geotagging
• Rest assured your bike is safe – Bitlock uses high-level encryption & is completely weatherproof

PRODUCT SPECS

Details & Requirements

• Battery life: 5 years
• Material: reinforced and heat-treated steel

Compatibility

• iOS 7 and 8
• Android 4.3 or later

Includes

• Bitlock Smart Bike Lock (blue)

KEY FEATURES

Let there be light! Bring a festival of lights to any space with this powerful Outdoor Laser Light Projector. Enliven the party with colorful, streaming lights, or make the front of your home the holiday sight of the season with red and green wonder! Safe and easy to set up, a fun, festive ambience is just moments away.

• Cast on walls, ceilings, windows, or any surface – the lights won’t hurt your eyes
• Control the flow & movement of lights w/ the included remote control
• Stand the laser up to hit surfaces more creatively w/ the included stand

PRODUCT SPECS

Details & Requirements

• Unit color: black
• Laser source: Red-100mw@650nm / Green-20mw@532nm
• Play mode: AUTO
• Interface: 12V 0.5A AC adapter
• Waterproof
• Power supply: AC110v-240v, 50-60Hz
• Diameter: 99mm x 160mm with stand
• Warm up time: 2 to 8 minutes

Includes

• Power adapter
• Laser projector
• Remote controller (batteries not included)
• Stand
• User guide manual

KEY FEATURES

Want to make a fast, positive impact on a company? Be the best salesperson you can be. Over this in-depth course, you’ll learn the art of inbound sales, developing proven techniques that can increase sales and make you an indispensable part of a team. Make yourself stand out by learning the essentials to being a shark.

• Access 5 comprehensive modules 24/7
• Open inbound sales calls effectively & make a good impression on a caller
• Learn how & when to apply six principal variables to your speech patterns for a positive effect on customers
• Understand how to manage emotions & gauge a customer’s enthusiasm
• Bridge from one purchase to an opportunity to present another
• Recognize unaddressed needs & learn how to get a customer to describe what they really want

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: 1 year
• Access options: web streaming, mobile streaming
• Certification of completion included
• Experience level required: all levels
• Limit: 1 for you, unlimited as gifts
• Redemption deadline: redeem your code within 30 days of purchase
• Course log-in details and instructions will be emailed to you within 3 working days of redemption
• Free technical support available 24/5 via email, telephone and online chat
• No software included
• Browser settings need to be changed when using a Mac. For more information, click here.

Compatibility

• Windows 7, 8
• Mac
• iOS
• iPad
• Android
• Internet Explorer 8 or later
• Google Chrome
• Safari 6 or later
• Mozilla Firefox

THE EXPERT

e-Careers comprises of passionate and talented educationalists who support over 325,000 students all over the world.

The institution consists of around 200 individuals, who all specialise in their own aspects of combining education with technology.
e-Careers has established relationships with many awarding bodies, instructors and educational institutions to bring its students training and qualifications in an E-Learning format. E-Careers is a true “EdTech” institution.

For more details on these courses and instructor, click here.

KEY FEATURES

Name the five most important things you need while traveling. Chances are chargers accounted for at least one, if not more of those items. Tone it back and just bring this Smart Travel Charger instead. With six USB ports built in and a five foot cable attached, charging all of your devices at once couldn’t be easier.

• 6 USB ports allow you to charge up to 6 devices simultaneously
• 5-foot cable gives added flexibility to charge devices
• Compatible w/ all Apple & Android devices, as well as any other USB-outfitted device like speakers, camera, & more
• Night light makes charging in the dark a breeze

PRODUCT SPECS

Details & Requirements

• Dimensions: 4.5″ x 1.8″ x 1.1″
• Weight: 4 oz
• Output current: DC6A
• Output voltage: DC5V
• Surge protection
• Port: 6 USB
• Cable length: 5′

Includes

• Smart Travel Charger (pink)

KEY FEATURES

YouTube is a massive video and music library, but its only significant flaw is that you need internet access to use it. Well, not anymore. With Softorino YouTube Converter, you can download and import YouTube videos directly into your iTunes, Mac or iPhone. No Wi-Fi? No problem. It’s as easy as copy and download, and all your favorite content will be readily available on your computer or mobile device in no time.

• Import files to iTunes as MP3, MP4, or M4A w/o losing quality
• Get automatic clipboard monitoring so you don’t have to paste a link–just copy it
• Download from Facebook, Vimeo, Instagram, YouTube & more
• Skip the ads when you watch offline
• Transfer videos & music to your iPhone, iPad or iPod Touch w/ ease
• Watch or listen in high quality 4k, 1080p HD video & 192kb/s music

PRODUCT SPECS

Details & Requirements

• Version 1.1.7 for Mac
• Supports 60fps, 2160p 4K

Compatibility

• Mac OS X 10.9 or later

SOFTWARE LICENSE DETAILS

• Redemption: Must redeem purchase within 30 days
• Updates included
• Number of users per license: 1

KEY FEATURES

Let there be light in the bathroom. Now you can add any color of LED light to your toilet bowl and see it glow. That means no more stumbling around when you have to go at night. Simply snap it onto the rim and let it shine: it will automatically turn on when someone walks into the bathroom. There are eight color possibilities and patterned illuminations, making quite the show.

Featured on ABC’s Shark Tank!

• Turns on & off automatically via motion sensors
• Sets to the color of your choice or a color-rotate light mode
• Easy to clean by wiping with a cloth
• Snaps on in the perfect, splash-proof location
• Fits any toilet
• Battery powered & now w/ even better battery life
• Perfect for potty training children
• Includes a 3-stage dimmer
• Features an improved motion sensor

PRODUCT SPECS

Details & Requirements

• Weight: 0.8 oz
• Dimensions: 2.2″L x 1.2″W x 2.2″H
• Batteries: 3 AAA batteries required (not included)
• Color: white
• 8 Light color option
• Material: plastic
• Type of bulb: LED

Includes:

• IllumiBowl Toilet Night Light (white)

Compatibility

• Any size toilet bowl

SHIPPING DETAILS

• Free shipping
• Ships to: Continental US

KEY FEATURES

Deep Learning is a set of powerful algorithms that are the force behind self-driving cars, image searching, voice recognition, and many, many more applications we consider decidedly “futuristic.” One of the central foundations of deep learning is linear regression; using probability theory to gain deeper insight into the “line of best fit.” This is the first step to building machines that, in effect, act like neurons in a neural network as they learn while they’re fed more information. In this course, you’ll start with the basics of building a linear regression module in Python, and progress into practical machine learning issues that will provide the foundations for an exploration of Deep Learning.

• Access 20 lectures & 2 hours of content 24/7
• Use a 1-D linear regression to prove Moore’s Law
• Learn how to create a machine learning model that can learn from multiple inputs
• Apply multi-dimensional linear regression to predict a patient’s systolic blood pressure given their age & weight
• Discuss generalization, overfitting, train-test splits, & other issues that may arise while performing data analysis

Like what you’re learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, and Numpy
• All code for this course is available for download here, in the directory linear_regression_class

Compatibility

• Internet required

THE EXPERT

The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.

He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.

He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.

Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.

KEY FEATURES

Logistic regression is one of the most fundamental techniques used in machine learning, data science, and statistics, as it may be used to create a classification or labeling algorithm that quite resembles a biological neuron. Logistic regression units, by extension, are the basic bricks in the neural network, the central architecture in deep learning. In this course, you’ll come to terms with logistic regression using practical, real-world examples to fully appreciate the vast applications of Deep Learning.

• Access 31 lectures & 3 hours of content 24/7
• Code your own logistic regression module in Python
• Complete a course project that predicts user actions on a website given user data
• Use Deep Learning for facial expression recognition
• Understand how to make data-driven decisions

Like what you’re learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, and Numpy
• All code for this course is available for download here, in the directory logistic_regression_class

Compatibility

• Internet required

THE EXPERT

The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.

He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.

He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.

Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.

KEY FEATURES

Artificial neural networks are the architecture that make Apple’s Siri recognize your voice, Tesla’s self-driving cars know where to turn, Google Translate learn new languages, and so many more technological features you have quite possibly taken for granted. The data science that unites all of them is Deep Learning. In this course, you’ll build your very first neural network, going beyond basic models to build networks that automatically learn features.

• Access 37 lectures & 4 hours of content 24/7
• Extend the binary classification model to multiple classes uing the softmax function
• Code the important training method, backpropagation, in Numpy
• Implement a neural network using Google’s TensorFlow library
• Predict user actions on a website given user data using a neural network
• Use Deep Learning for facial expression recognition
• Learn some of the newest development in neural networks

Like what you’re learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: intermediate, but you must have some knowledge of calculus, linear algebra, probability, Python, and Numpy
• All code for this course is available for download here, in the directory ann_class

Compatibility

• Internet required

THE EXPERT

The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.

He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.

He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.

Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.

KEY FEATURES

The applications of Deep Learning are many, and constantly growing, just like the neural networks that it supports. In this course, you’ll delve into advanced concepts of Deep Learning, starting with the basics of TensorFlow and Theano, understanding how to build neural networks with these popular tools. Using these tools, you’ll learn how to build and understand a neural network, knowing exactly how to visualize what is happening within a model as it learns.

• Access 23 lectures & 3 hours of programming 24/7
• Discover batch & stochastic gradient descent, two techniques that allow you to train on a small sample of data at each iteration, greatly speeding up training time
• Discuss how momentum can carry you through local minima
• Learn adaptive learning rate techniques like AdaGrad & RMSprop
• Explore dropout regularization & other modern neural network techniques
• Understand the variables & expressions of TensorFlow & Theano
• Set up a GPU-instance on AWS & compare the speed of CPU vs GPU for training a deep neural network
• Look at the MNIST dataset & compare against known benchmarks

Like what you’re learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.

PRODUCT SPECS

Details & Requirements

• Length of time users can access this course: lifetime
• Access options: web streaming, mobile streaming
• Certification of completion not included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, and Numpy
• All code for this course is available for download here, in the directory ann_class2

Compatibility

• Internet required

THE EXPERT

The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master’s thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.

He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.

He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.

Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.