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Evan Marinofsky and Conor Ryan sit down to discuss the Bruins's offseason outlook and the comments made by Don Sweeney on where exactly the Bruins need offensive help. That, and much more!<br/><br/>0:30 - Bruins offseason plans<br/>3:30 - Don Sweeney's comment on secondary scoring<br/>5:00 - Interpretation of Sweeney's statement<br/>6:07 - Secondary scoring importance<br/>7:40 - Considering high-priced players<br/>9:40 - Diversifying offseason moves<br/>11:25 - Free agent uncertainties<br/>13:00 - Importance of middle position<br/>15:01 - Future cap flexibility<br/>17:26 - Top Center upgrade<br/>20:37 - Lindholm's fit<br/>22:48 - Comparing Lindholm to ROR<br/>24:41 - Lindholm fitting Bruins' needs<br/>25:57 - Options for Bruins' offseason<br/>27:00 - Upcoming events and coverage<br/><br/>Prize Picks! Get in on the excitement with PrizePicks, America’s No. 1 Fantasy Sports App, where you can turn your hoops knowledge into serious cash. Download the app today and use code CLNS for a first deposit match up to $100! Pick more. Pick less. It’s that Easy! Go to https://PrizePicks.com/CLNS<br/><br/>Gametime! Take the guesswork out of buying NBA tickets with Gametime. Download the Gametime app, create an account, and use code CLNS for $20 off your first purchase. Download Gametime today. Last minute tickets. Lowest Price. Guaranteed. Terms apply. Go to https://gametime.co !<br/><br/>---------------------------------------------------------------------------------------------------------------------------------<br/>Welcome to the #CLNS Media Network’s YouTube channel for Boston #Bruins hockey. CLNS Media is the leading online provider of audio/video coverage for the Boston sports. Get complete inside access to the Bruins at TD Garden, the game day skates at Warrior, and everywhere on the road. CLNS #NHLBruins' credentialed insiders Mike \
What Kind of Scoring Will the Bruins Target This Summer? | Bruins Beat
⏲ 28:59 👁 7M
BYJU'S - Class 6, 7 u0026 8
Complete Comparing Quantities in 2 hours Class 7 CBSE Maths | Crash Course | BYJU'S
⏲ 1 hour 13 minutes 33 seconds 👁 11.5K
instyn education
Class 7 - Maths - Comparing Quantities | FREE Tutorial
⏲ 19 minutes 37 seconds 👁 59.7K
Bob Ryan, Jeff Goodman, and Gary Tanguay share stories of time spent with Bill Walton over the years, dating back to his playing days with the Boston Celtics. Their conversation then shifts to the Celtics advancing to the NBA Finals, and a look at how things are shaping out in the West between Dallas and Minnesota.<br/><br/>0:00 - Remembering Bill Walton<br/>2:49 - Impact of Bill Walton<br/>5:24 - Bill Walton's enthusiasm<br/>7:02 - Comparing Bill Walton and Kareem<br/>8:34 - Choosing Bill Walton<br/>13:00 - Bill Walton's career<br/>16:39 - Teammates' stories<br/>18:58 - Sixth Man of the Year<br/>24:49 - Impeccable ball timing<br/>29:39 - Celtics' playoff maturity<br/>33:11 - Celtics' bench scoring concern<br/>35:15 - Tatum and Brown roles<br/>37:11 - Celtics' team identity<br/>39:26 - Danny Ainge and Brad Stevens' success<br/>41:03 - Envy of every coach<br/>48:00 - Celtics vs. Dallas<br/><br/>Prize Picks! Get in on the excitement with PrizePicks, America’s No. 1 Fantasy Sports App, where you can turn your hoops knowledge into serious cash. Download the app today and use code CLNS for a first deposit match up to $100! Pick more. Pick less. It’s that Easy! Go to https://PrizePicks.com/CLNS<br/><br/>Gametime! Take the guesswork out of buying NBA tickets with Gametime. Download the Gametime app, create an account, and use code CLNS for $20 off your first purchase. Download Gametime today. Last minute tickets. Lowest Price. Guaranteed. Terms apply. Go to https://gametime.co !
Goodman: Celtics Showing MATURITY | Ryan & Goodman NBA Podcast
⏲ 50:19 👁 1.6M
Magnet Brains
Class 7 Maths Chapter 8 | Comparing Quantities Full Chapter R.D Sharma Solution
⏲ 3 hours 53 minutes 31 seconds 👁 299.4K
BYJU'S - Class 6, 7 u0026 8
Comparing Quantities Class 7 Maths Chapter 8 in One Shot | BYJU'S - Class 7
⏲ 1 hour 9 minutes 30 seconds 👁 44.3K
Olympic boxing gold medallist Nicola Adams has a created self-defence lesson for women - to empower them in vulnerable situations.<br/><br/>The online session features the West Yorkshire star demonstrating different boxing techniques and basic defence moves.<br/><br/>It is five minutes long to allow for busy schedules – and includes moves the star might use ahead of a big fight in the ring as well as confidence techniques.<br/><br/>The video is available to watch for free on YouTube [https://www.youtube.com/watch?v=OsMNmVSUhdI].<br/><br/>It comes as research of 2,000 women by Bodyform found 53 per cent have felt vulnerable and insecure at times, while 46 per cent have felt unsafe.<br/><br/>These feelings have been provoked when walking down the street at night (61 per cent), on public transport (40 per cent) and even walking outside in the daytime (35 per cent).<br/><br/>Although more than half (53 per cent) have already turned to sport or exercise as a way of improving how they feel about themselves, be that physically or mentally.<br/><br/>And 27 per cent said being physically stronger helps them to feel safer, more confident and empowered as a woman.<br/><br/>Nicola Adams, OBE, who is working with the feminine protection brand to empower women, said: “Bodyform’s Superiority campaign is important, and comes at a time where we are aware as a nation that women have a right to feel strong and protected, but more work needs to be done.<br/><br/>“The class we’ve created together aims to providewomen+ with tools to help them feel more protected, empowered and to increase their sense of self-worth.<br/><br/>“I’ve always set out to challenge norms and to encourage women to believe in themselves, and this is just another way together we can help to break barriers.”<br/><br/>The study, carried out via OnePoll.com, found 73 per cent of women don’t believe they should feel threatened by anyone in any situation, due to their gender.<br/><br/>Although those who have felt strong and safe in recent months admit this was when they were at work (45 per cent), out with a group of friends (27 per cent) and at the gym (16 per cent).<br/><br/>To help themselves to feel more confident, 42 per cent of women try to eat well and 38 per cent stick to being in familiar places such as their hometown.<br/><br/>Just under three in 10 (28 per cent) will spent time outside, 27 per cent focus their efforts on being physically strong and 21 per cent do lots of exercise.<br/><br/>Of those who have turned to sport or exercise to improve their physical or mental health, 67 per cent admit it helps them to feel good about themselves and many like the sense of focus (44 per cent) or purpose (36 per cent).<br/><br/>But there are a number of barriers still preventing women from being heard, and feeling protected – such as louder, more confident characters (41 per cent), body images pressures (38 per cent) and decision makers being predominantly male (24 per cent).<br/><br/>Women would like to feel stronger and empowered when walking down the street (39 per cent), in medical settings (32 per cent) and at work (31 per cent).<br/><br/>While others want to be secure and comfortable in the pub (24 per cent), in nightclubs (20 per cent0 and when running in public (15 per cent).<br/><br/>A spokesperson for Bodyform [https://www.bodyform.co.uk/] said: “Partnering with Nicola felt completely right, as everything she stands for as a woman aligns with what we are about – strength, both physically and mentally, equality and inclusion.<br/><br/>“We’re not just about words, we’re about solutions, and Nicola allows us to do that by creating a self-defence class accessible for everyone and which champions female empowerment.<br/><br/>“Women often face situations where their comfort and protection and security is threatened, and we want challenge and change that.”<br/><br/>TOP 15 THINGS THAT MAKE WOMEN FEEL MORE EMPOWERED:<br/><br/>1. Eating well or healthily<br/>2. Being in a familiar place e.g. hometown<br/>3. Being knowledgeable on a discussion topic<br/>4. Spending more time outside<br/>5. Being physically strong<br/>6. Men understanding female issues<br/>7. Challenging myself to do things outside of my comfort zone<br/>8. Surrounding myself with family when home<br/>9. Being with others rather than alone<br/>10. Surrounding myself with friends when out and about<br/>11. Females having important roles in the workplace<br/>12. Lots of exercise<br/>13. Practicing mindfulness or meditation<br/>14. Safe spaces for women e.g. drop in centres<br/>15. Being on the phone to someone if I’m out on my own
Olympic boxer Nicola Adams produces self-defence lessons for women
⏲ 1:52 👁 410K
Learning Notebook
Class 7 Maths Comparing Quantities
⏲ 1 hour 3 minutes 44 seconds 👁 1.5K
Pebbles CBSE Board Syllabus
Comparing quantities full chapter | Mathematics | Class 7 | CBSE Syllabus
⏲ 1 hour 41 minutes 5 seconds 👁 6.5K
Welcome to Session 14 of our Open RAN series! In this session, we'll introduce supervised machine learning and its application in designing intelligent systems for Open RAN.<br/><br/><br/>Understanding Supervised Machine Learning:<br/>Supervised machine learning is a type of machine learning where the algorithm learns from labeled data. It involves training a model on a dataset that contains input-output pairs, where the input is the data and the output is the corresponding label or target variable. The algorithm learns to map inputs to outputs by finding patterns in the data. In Open RAN, supervised learning can be used for tasks such as predicting network performance based on historical data.<br/><br/>Types of Supervised Machine Learning:<br/>There are two main types of supervised machine learning: classification and regression. In classification, the algorithm learns to categorize data into predefined classes or categories. For example, it can classify network traffic into different application types (e.g., video streaming, web browsing). Regression, on the other hand, involves predicting continuous values or quantities. It is used when the output variable is a real or continuous value, such as predicting the signal strength of a network connection.<br/><br/>Binary and Multi-Class Classification:<br/>Binary classification involves categorizing data into two classes or categories. For example, it can be used to classify network traffic as either malicious or benign. Multi-class classification, on the other hand, involves categorizing data into more than two classes. It can be used to classify network traffic into multiple application types (e.g., video streaming, social media, email).<br/><br/>Regression in Machine Learning:<br/>Regression is a supervised learning technique used for predicting continuous values or quantities. It involves fitting a mathematical model to the data, which can then be used to make predictions. In Open RAN, regression can be used for tasks such as predicting network latency, throughput, or coverage based on various input variables such as network parameters, traffic patterns, and environmental conditions.<br/><br/>Subscribe to \
Session 14: Introduction to Supervised Machine Learning in Open RAN
⏲ 4:28 👁 40K
Kris Krohn
The Top 7 Things I Teach My Kids About Money
⏲ 15 minutes 6 seconds 👁 2K
Vedantu Young Wonders
Comparing Quantities L1 | NCERT Class 7 Maths Chapter 8 | Young Wonders | Priya Ma'am
⏲ 38 minutes 56 seconds 👁 15.6K
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