Category Archive: website

KEY FEATURES

The Neutron C proves you don’t need a whole clunky device to mount your phone or tablet in the car. This minimalist design can be adhered to almost any surface and incorporates magnetic shielding to keep your devices safe. Plus, it offers full, bi-directional 360º rotation so you can see your phone from any angle.

• Allows for quick & exact attachment & detachment of devices
• Offers full rotational viewing
• Incorporates magnetic shielding which protects magnetically sensitive electronics
• Camera mount screw input on the back allows it to be attached to tripods

PRODUCT SPECS

Details & Requirements

• Height: 0.75″
• Diameter: 0.87″
• Weight: 0.8 oz

Compatibility

• Universal for smartphones or tablets

Includes

• 1/16″ x 3/4″ attachment disk
• 3M VHB mounting tape

KEY FEATURES

It’s the 21st century, you shouldn’t need a cable to charge your phone! XVIDA wireless chargers deliver a charge just as fast as an old school cable, but with all the added flexibility and benefits of a wireless charger. With the magnetic locking interface, your phone always snaps into optimal charging position, making these chargers extremely easy to use. Just slip your phone into an XVIDA case, place it on the charging stand, and continue to use your phone effortlessly while it gets a safe, fast charge.

Successfully funded on Kickstarter & Indiegogo

• Precision magnetic locking ensures phone always snaps into optimal charging position
• Enables fast & reliable Qi wireless charging
• Charging dock gives you added flexibility while you charge
• Slim, hard case shell adds a layer of protection without adding any bulk to your phone
• Raised bezel protects your device’s screen when placed face down
• Premium case materials are designed to match your device perfectly

PRODUCT SPECS

Details & Requirements

• Case materials: premium anodized aluminum
• Case color: black
• Dimensions: 12.8cm x 8.8cm x 19.9cm
• Input: 100-240V; 50-60Hz; 0.35A
• Output: 5.3V; 2.0A

Compatibility

• Samsung Galaxy S8

Includes

• Samsung Galaxy S8 Case
• Charging stand (black)
• USB cable
• Power adapter

KEY FEATURES

TechTool Pro 9.5 goes above and beyond the basic diagnostics to keep your system running like a dream. It even goes as far as testing your motherboard, which no rival tool can do. But that’s not all. Test everything from the sensors to the fans, and everything in between. Even create a bootable diagnostic device to test in the field. Whether you own a personal Mac or a whole fleet of business machines, TechTool Pro will catch problems before they start.

• Makes sure your RAM, processor, cache & more are running properly
• Rebuilds your cache to correct slow booting, misbehaving apps, slow browsing, & more
• Lets you get under the hood by manually operating built-in system maintenance tools
• Detects problems causing files to get lost
• Prevents data loss & lets you undelete a file you didn’t mean to trash w/ the new & improved data recovery tool
• Keeps an eye on your LAN & tracks devices that have been in use
• Tests & repairs damaged directories and corrupted hard drives
• Prevents crashes & program areas associated w/ RAM
• Creates duplicates of your volumes to back up data
• Performs file & volume optimization

PRODUCT SPECS

Details & Requirements

• Version 9.5.1
• Minor updates included
• Uses 64-bit compatibility
• Diagnostics & repair
• Volume rebuild
• Memory test
• eDrive
• Volume cloning
• Volume & file optimization
• Data recovery
• Network monitoring
• Protection services

Compatibility

• Intel-based Mac
• Mac OS X 10.8 or later
• 1 GB RAM or higher

SOFTWARE LICENSE DETAILS

• License redemption deadline: redeem within 30 days of purchase
• For use on 1 machine
• Length of access: lifetime

KEY FEATURES

Mophie’s Powerstation 8X is one of the thinnest, most powerful universal external batteries on the market. Between a high-performance design and enormous battery capacity, the Powerstation 8X is the ultimate tool for anyone in need of an elite charging solution. The next generation of power, this battery can even charge two devices at once with an incredible, 15W output.

• Boasts enough battery to recharge a smartphone up to 8 times
• Dual USB ports let you get two devices back up & running faster
• High-speed, 15W charging output identifies your device’s needs & delivers an optimal charge
• Enables pass-through charging while connected to a power source so your device charges first, then the Powerstation recharges itself
• Slim, compact design makes it ultra-portable
• Use the Mophie Power app to monitor & manage the battery life of your phone & Powerstation battery

PRODUCT SPECS

Details & Requirements

• Battery capacity: 15,000mAh
• Dimensions: 7.24″ x 4.18″ x 0.48″
• Output: 15W

Includes

• Mophie Powerstation 8X
• Micro USB cable

KEY FEATURES

Your smartphone’s zoom will get an added boost when you’ve attached the Zoomable 60X Monocular. Providing improved visibility, this attachment brings landscapes, far off animals, sports fields, or anything else off in the distance into clear focus for you to snap amazing pictures. Don’t let distance limit your smartphone when the solution is right here.

• Zoom from 40x to 60x for extended visibility
• Attach or remove easily from any smartphone
• Use the included tripod to get a steady shot from far away
• Carry the lens on even the most rugged adventure thanks to its superior craftsmanship & sturdy carrying case

PRODUCT SPECS

Details & Requirements

• Material: PC/ABS plastic
• Zoom from 40x to 60x

Compatibility

• Any smartphone camera, two hands are needed for operation

Includes

• Zoom lens
• Mini tripod
• Carrying case

Been saving to add a figurine to your collection? No splurge necessary here! With this deal from Loot Crate you’ll get a Dr. Strange figurine, plus a mystery figurine thrown in by Loot Crate’s expert curators. Build your collection while saving a buck – this offer won’t last long!

KEY FEATURES

No matter the season, twinkle lights will add that extra something special to your outdoor space. This 100-light set is energy efficient, and won’t overheat even after many hours of usage. The soft copper color brings the perfect romantic feel to any outdoor soirée, so bring them home and spice up your space one light at a time.

• Features a waterproof power adapter & wires for use in any season
• Lets you choose between red, green, blue, white, warm white, pink, yellow, purple, & RGB lights
• Safety is guaranteed w/ UL certification
• Spices up your Autumn & Winter seasons
• Adds a warm ambiance to your party, restaurant & shops

PRODUCT SPECS

Details & Requirements

• LED quantity: 100 pieces
• Length: 33′
• Supply voltage: 4.5V
• Light color: red, green, blue, white, warm white, pink, yellow, purple, RGB

  Includes

  • Copper Wire String Lights
  • Power adapter

KEY FEATURES

Take a hike and then take flight with this compact, foldable drone! Easy to pack up and carry, you can just as easily fold out this drone and take off with one touch of the controller. With a 720p WiFi wide-angle Gimbal still and video camera onboard you’ll be able to record flights. Anyone from beginners to experts can have a blast flying this handy little drone.

• Hovering mode allows for more stable photos
• Foldaway design makes it easy to pack up & take on the move
• Fly w/ enhanced control thanks to trajectory flight mode, a 6-axis gyro, & headless mode
• Control w/ RC controller or completely in app

PRODUCT SPECS

Details & Requirements

• Video resolution: 720p
• Flight time: 8-10 minutes
• Charge time: approx. 150 minutes
• Battery: Li-Polymer 3.7V 900mAh rechargeable battery
• Range: approx. 400′
• 4 AAA batteries for controller not included

Compatibility

• Free BP-Tech app available for iOS and Android

Includes

• Drone
• 4 spare blades
• 4 blade guards
• USB charging cable
• Controller
• Smartphone controller mount

KEY FEATURES

If you love cats yourself or have a cat lover in your life, this watch is clearly a must-buy accessory. It features a functioning dial, a buckle closure and leather-style band to boot. Get yours me-now!

• Dial is approximately 1.5″ in diameter
• Quartz movement SL68
• Moisture & dust resistant
• Buckle closure

PRODUCT SPECS

Includes

• The Purr-Fect Watch (leopard)

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.