One of the key reasons Amazon (NASDAQ:AMZN) stock is one of the most valuable on Wall Street -- with a market cap of $884 billion -- is that the company is willing to take bold initiatives. True, sometimes things fall short, as seen with the move into the smartphone business. But for the most part, CEO Jeff Bezos has been able to make the right strategic decisions and deploy resources in a disciplined way. Perhaps the best example of this is AWS (Amazon Web Services). Without this, AMZN stock would likely have a much lower valuation today.
With the festive time of the year, everyone is going crazy about the mind-blowing sales going on in Flipkart Big Billion Day and Amazon India Great India Festival Sale. Diwali is celebrated to mark the triumph of Lord Rama over Ravana or the triumph of good over evil. However, for businesses in India, Diwali is the go-to make money festival. It is known as the big Indian Festive Season with eye-popping deals on from apparel, add-ons, shoes, consumer electronics, home appliances, furniture and also traveling. But did we ever imagined, how these e-commerce companies have prepared for these big sale days or how their courier partners are ensuring that last-mile delivery to the customers?
This post was done in partnership with Wirecutter. When readers choose to buy Wirecutter's independently chosen editorial picks, it may earn affiliate commissions that support its work. Read Wirecutter's continuously updated list of deals here. Down to $65 from a street price of $90, this is the first deal we've seen on the recently released Echo Show 5. We may see better deals over deals events like Black Friday or Cyber Monday, but at the moment, this $25 discount is well worth a second look if you're interested in the latest Alexa smart display. We have yet to test the Echo Show 5 and report our thoughts in our guide to the best smart display for Amazon Alexa and Google Assistant, but if you're an Alexa user looking for the latest tech, this is the latest version of our top pick.
Oscar-nominated actor Samuel L. Jackson is lending his iconic voice to Amazon's Alexa – profanities and all. During Amazon's event to unveil new products and services Wednesday, the online shopping giant announced that Jackson will be the first celebrity voice for its Alexa virtual assistant and was created using neural text-to-speech technology. There will be both an explicit version and a clean version when the feature launches later this year. The Alexa "skill" will cost 99 cents as an introductory offer. After the introductory period, the price will be $4.99, according to the product page.
Today I am happy to announce the public release of the Topical Chat Dataset, a text-based collection of more than 235,000 utterances (over 4,700,000 words) that will help support high-quality, repeatable research in the field of dialogue systems. The goal of Topical Chat is to enable innovative research in knowledge-grounded neural response-generation systems by tackling hard challenges that are not addressed by other publicly available datasets. Those challenges, which we have seen universities begin to tackle in the Alexa Prize Socialbot Grand Challenge, include transitioning between topics in a natural manner, knowledge selection and enrichment, and integration of fact and opinion into dialogue. Each conversation in the data set refers to a group of three related entities, and every turn of conversation is supported by an extract from a collection of unstructured or loosely structured text resources. To our knowledge, Topical Chat is the largest social-conversation and knowledge dataset available publicly to the research community.
Q: Where is AWS Innovate hosted? AWS Innovate is an online conference. After completing the online registration process, you will receive a confirmation email containing the login link that you will need in order to access the platform. Q: Can I watch the sessions after the event? All sessions will be available on demand from the day after the event until the end of November.
Amazon Textract is a machine learning service that makes it easy to extract text and data from virtually any document. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables. This allows you to use Amazon Textract to instantly "read" virtually any type of document and accurately extract text and data without the need for any manual effort or custom code. The blog post Automatically extract text and structured data from documents with Amazon Textract shows how to use Amazon Textract to automatically extract text and data from scanned documents without any machine learning (ML) experience. One of the use cases covered in the post is search and discovery.
"This book provides a great practical guide to get started and execute on ML within a few days without necessarily knowing much about ML apriori. The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue. A wonderful book for engineers who want to incorporate ML in their day-to-day work without necessarily spending an enormous amount of time going through a formal degree program."--Deepak Agarwal, VP of Artificial Intelligence at LinkedIn "This book is a great introduction to machine learning from a world-class practitioner and LinkedIn superstar Andriy Burkov. He managed to find a good balance between the math of the algorithms, intuitive visualizations, and easy-to-read explanations. This book will benefit the newcomers to the field as a thorough introduction to the fundamentals of machine learning, while the experienced professionals will definitely enjoy the practical recommendations from Andriy's rich experience in the field."--Karolis
A practitioner s tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised machine learning, unsupervised machine learning and model evaluation. Machine learning and data science are large disciplines, requiring years of study in order to gain proficiency. This book can be viewed as a set of essential tools we need for a long-term career in the data science field recommendations are provided for further study in order to build advanced skills in tackling important data problem domains.The R statistical environment was chosen for use in this book. R is a growing phenomenon worldwide, with many data scientists using it exclusively for their project work.
I vividly remember my first undergraduate class in artificial intelligence (AI). My father had worked for years on "expert systems," and I was at MIT to learn from the best how to perform this wizardry. Marvin Minsky, one of the founders of the field, even taught a series of guest lectures there. It was about midway through the semester when the great disillusionment hit me: "It's all just a bunch of tricks!" There was no "intelligence" to be found; just a bunch of brittle rules engines and clever use of math.